SQL Server Integrations

Connect seamlessly to your current databases and warehouses without needing to duplicate data or develop new data models. Explo is compatible with all relational databases and warehouses, ensuring broad applicability. Our style configurator allows you to customize your dashboard to match your application's design, including options for fonts, borders, shadows, and more. Additionally, Explo features templated row-level permissions, enabling team 1 to access only their own data while team 2 can view theirs. With versioned Explo dashboards, collaboration among teammates is enhanced, allowing them to save iterations and deploy to the appropriate environments. You can also implement validation and set restrictions on corresponding text inputs. There's an option to rename the first column header in both tables and pivot tables, further increasing usability. Creating customized dashboards and reports for your clients has never been more straightforward. Discover how Explo can benefit your team and transform your data visualizations. Notably, e-commerce and retail platforms are equipping their users with tools to not only meet but surpass their sales targets through tailored branding and actionable insights.

Manticore Search, launched in 2017, is an open-source database that evolved from the Sphinx Search engine. We incorporated its best features while enhancing functionality, resolving hundreds of issues, and nearly rewriting the entire codebase, all while maintaining our commitment to open-source principles. This extensive development has resulted in Manticore Search being a modern, efficient, lightweight, and versatile database that excels in full-text search capabilities. In our view, simplifying technology usage should be a top priority for any vendor today. We aim for all our users, whether they are developers or DevOps professionals, to avoid needing extensive expertise in databases or search engines, allowing them to leverage Manticore products without requiring advanced degrees. We understand that your time is valuable, and we want to spare you the frustration of lengthy trials to comprehend the impact of various settings on functionalities. Therefore, Manticore Search is designed to perform effectively with its default configurations in most scenarios, ensuring a smooth experience right from the start.

Open up your data warehouse and execute SQL queries to synchronize the outcomes with the applications your team utilizes. Establish connections with databases such as Postgres, MySQL, Snowflake, Redshift, and SQL Server. Transfer data to platforms where your team operates, including Google Sheets, Excel, Slack, and email. You can also set your queries to execute at intervals of every hour, day, week, or even every five minutes, ensuring that your data remains consistently current. Collaborate with your peers by sharing, tagging, and exploring code created by team members, which prevents the need to rewrite code that has already been optimized by others. Use Snippets to share compact, reusable SQL components with your team, which can be particularly useful for automating tasks like date formatting or defining metrics. Additionally, imagine receiving an up-to-date Wall Street Journal article relevant to your company, seamlessly refreshed and sent to your inbox each day, keeping you informed without any extra effort. This streamlined process not only enhances productivity but also fosters collaboration and knowledge sharing among team members.

DQOps is a data quality monitoring platform for data teams that helps detect and address quality issues before they impact your business. Track data quality KPIs on data quality dashboards and reach a 100% data quality score. DQOps helps monitor data warehouses and data lakes on the most popular data platforms. DQOps offers a built-in list of predefined data quality checks verifying key data quality dimensions. The extensibility of the platform allows you to modify existing checks or add custom, business-specific checks as needed. The DQOps platform easily integrates with DevOps environments and allows data quality definitions to be stored in a source repository along with the data pipeline code.

InsightFinder Unified Intelligence Engine platform (UIE) provides human-centered AI solutions to identify root causes of incidents and prevent them from happening. InsightFinder uses patented self-tuning, unsupervised machine learning to continuously learn from logs, traces and triage threads of DevOps Engineers and SREs to identify root causes and predict future incidents. Companies of all sizes have adopted the platform and found that they can predict business-impacting incidents hours ahead of time with clearly identified root causes. You can get a complete overview of your IT Ops environment, including trends and patterns as well as team activities. You can also view calculations that show overall downtime savings, cost-of-labor savings, and the number of incidents solved.

The innovative mobile energy management tool, EnergyDoc, streamlines the process of documenting and analyzing energy consumption across various sectors, including businesses and governmental organizations. By facilitating the identification and implementation of potential savings, EnergyDoc effectively aids in minimizing energy usage while showcasing achievable cost reductions. This energy data management system proactively detects significant overconsumption and investigates the underlying causes. In instances of unexpected energy use, SKILL EnergyDoc promptly relays all essential technical information to mobile repair or support teams, enabling swift corrective actions that lead to cost savings. Moreover, it meticulously analyzes and incorporates target consumption levels along with tolerance or escalation metrics into energy consultations, with up to 80% of EnergyDoc expenses potentially eligible for funding. Users have the flexibility to set consumption plan values, with data seamlessly integrated from e-meters or other software systems, empowering them to take control of their energy management. The combination of these features not only enhances operational efficiency but also contributes to sustainable energy practices.

Consolidate your data systems to access comprehensive insights on player performance, health, and injuries from a single platform. By automating your specific workflows and data collection processes, you can significantly reduce the time spent on reporting requirements. This enables you to deliver timely and pertinent information that enhances decision-making, ultimately improving player performance and availability. Smartabase acts as a central hub for your performance initiatives, facilitating efficient data capture and smoothly integrating with your current systems, wearables, and technologies. In the event of staff turnover, you can rest assured that your valuable data remains secure and intact. Centralize information from various third-party devices, wearables, applications, and management systems from clubs, leagues, or national teams. Enhance the efficiency of data collection through player assessments, athlete questionnaires, performance interventions, and more via customized, mobile-friendly digital forms. You can analyze and visualize all your data directly within Smartabase, and for more advanced modeling and analysis, seamless integration with your preferred analytics tools is readily available. This robust system not only streamlines data management but also empowers organizations to make informed decisions that can lead to enhanced athletic outcomes.

Effortlessly harness the robust search features to find particular artists, albums, or tracks in your music library. You can make adjustments and rectify the data associated with your files while simultaneously managing your album and artist images in bulk. Helium provides a variety of swift and straightforward functions to manage your music collection, and it extends beyond that. Additionally, you have the option to engage with Helium through its scripting API. This API enables you to carry out specific tasks on tracks, artists, and albums within your collection using C# scripts. Helium is crafted to be beneficial for music collections of all sizes, accommodating everything from modest libraries to extensive collections featuring hundreds of thousands of tracks. The software supports a variety of database formats to ensure optimal scalability for both small and large collections. It also includes various tag editors with diverse functionalities, allowing for efficient editing while simultaneously viewing the content. In this way, Helium becomes an indispensable tool for music enthusiasts looking to organize and enhance their collections.

Luna Modeler is an easy-to-use data modeling tool for your favorite databases. Design and visualize database structures, generate SQL scripts, and create interactive documentation. Perfect for both pros and beginners, Luna Modeler makes data modeling simple! Supported platforms: - Oracle Database - SQL Server - PostgreSQL - MySQL - MariaDB - SQLite Key features: - Database modeling and design - Reverse engineering from Oracle, SQL Server, PostgreSQL, MySQL, MariaDB - Import from SQLite files - Support for SSH/SSL/TLS connections - Generation of interactive HTML reports - Generation of SQL scripts - Project update - Various themes and styles for reports - Multiple display modes - Support for sub-diagrams - Generation of alter scripts for selected database platforms

A web-based tool for database modeling that facilitates the creation of entity relationship diagrams, relational schemas, star schemas, and SQL DDL statements is ERDPlus. This intuitive platform enables users to generate Entity Relationship Diagrams (ERDs) swiftly and effortlessly. It is compatible with various modern relational database management systems such as Oracle, MySQL, Microsoft SQL Server, PostgreSQL, Teradata, IBM DB2, Microsoft Access, and many others. The tool's notation allows for the representation of regular and weak entities, accommodating different attribute types, including unique, multi-valued, derived, composite, and optional attributes, as well as all cardinality constraints for relationships, which include mandatory and optional associations. Furthermore, ERDPlus streamlines the creation of foreign keys and referential integrity lines through user-friendly click-and-connect actions, making it easier to develop relational schemas. Additionally, the notation enhances clarity by differentiating fact tables from dimension tables, employing a thicker frame around fact tables, which aids users in visualizing their database structures effectively. Overall, ERDPlus stands out as a valuable asset for database designers seeking efficiency and precision.

DrawSQL allows users to design, visualize, and collaborate on entity relationship diagrams for databases seamlessly. It provides a straightforward way to see your database schema and understand how all components interact. Maintaining an up-to-date document of your application schema is beneficial for architecting new features and aiding in the onboarding process for new team members. You can invite your colleagues to join in the collaboration on your database diagrams, ensuring that everyone is on the same page. With drawSQL serving as a centralized source of truth, there's no longer a need to manually synchronize diagram files across various developers and offline tools. Create impressive and professional diagrams that truly make an impact. Unlike other database clients, drawSQL's intuitive editor is user-friendly, visually appealing, and emphasizes the visualization of database schemas without cluttering the interface with unnecessary database management features. You can generate a diagram for your application's database in under 15 minutes. Team up to design, model, and document the database schema of your application effectively. Additionally, drawSQL offers features like diagram versioning and access controls for enhanced security and collaboration. This makes it an excellent choice for teams looking to streamline their workflow.

Secure your connection using SSL encryption or establish a tunnel via SSH for enhanced safety. Store your connection password securely, as Beekeeper Studio will ensure it is encrypted for your protection. The integrated editor features syntax highlighting and auto-complete capabilities for your tables, allowing you to work efficiently and effortlessly. You can open multiple tabs simultaneously, facilitating a seamless workflow without the need to toggle between different windows. Each table's DDL and data views are conveniently placed in their own tabs as well! Furthermore, you can easily save and categorize frequently used queries, making them readily accessible across all your connections. With Beekeeper's SQL table creator, you can swiftly create, modify, and remove table columns in just a few clicks. Exporting a table to formats such as CSV, JSON, JSONL, or SQL is also simplified, allowing you to do so with minimal effort. Additionally, you have the option to apply filters during the export process, ensuring you retrieve only the specific data you require. This flexibility enhances productivity and streamlines your data management tasks.

This is a SQL client and administrative tool designed for various popular databases, featuring a user-friendly interface that allows you to concentrate on your data and complete tasks efficiently. The emphasis on the editing experience ensures a seamless workflow, enhancing user satisfaction. Built as a native application with Vala, utilizing GTK and Adwaita, it prioritizes performance and responsiveness. Connecting to MySQL or PostgreSQL can be more intricate due to the multiple authentication methods available, so having the necessary resources ready before establishing a connection is advisable. You can connect through a private network using SSH, and the integrated SSH client simplifies this process. Additionally, you can quickly create a connection by dragging and dropping an SQLite database file from your file manager onto the connection homepage. Alternatively, generating an empty SQLite file and dragging it onto the homepage also facilitates a swift connection setup. With GTK4's support for HiDPI across all platforms, applications built with it will automatically adjust to the system's scaling settings, ensuring a visually appealing experience regardless of the device used. The versatility of the tool makes it a valuable asset for database management.

Utilize SQL queries to extract data sets from your databases for comprehensive analysis. Employ tables and pivot tables to scrutinize these data sets, revealing fresh patterns and trends through your findings. Communicate your insights effectively by generating PDF reports or exporting your data to formats like Excel, HTML, and XML. Quickly gain actionable insights from your SQL data sets with ease and speed. You have the flexibility to sort, filter, group, and summarize your SQL data in any manner necessary, allowing for varied arrangements of columns based on your preferences. This capability not only aids in summarizing data but also helps in uncovering new information and insights. You can create multiple summaries for individual columns utilizing different functions, and present these in group headers, footers, or column footers. Additionally, you have the option to highlight exceptional values through customizable rules and formulas. Organize your data by sorting one or more columns in either ascending or descending order as needed, and apply filters to each column to display only the relevant information you wish to analyze. Ultimately, this approach facilitates a more tailored and insightful exploration of your data.

A lightweight and user-friendly SQL client that operates on both desktop and terminal platforms, offering support for multiple databases. This application features a straightforward interface and is designed to be signed and notarized for macOS systems. It accommodates a variety of databases, including PostgreSQL and MySQL, and includes a graphical user interface known as sqlectron-gui. Typically, users need not concern themselves with file management, as Sqlectron takes care of configuration settings automatically. Instead of handling pagination within SQL queries, Sqlectron performs this task during the rendering of results. In addition to PostgreSQL, it supports databases such as Redshift, MySQL, MariaDB, Microsoft SQL Server, Cassandra, and SQLite. While manual file modifications are an option, utilizing the user interface is generally more efficient, allowing for easier adjustments to various settings. Overall, Sqlectron provides a seamless experience for database management across different platforms.

Create intricate front-end applications even if you lack experience in React, CSS, or HTML. With a simple drag-and-drop interface, you can use over 35 pre-designed UI components to construct complex frontends effortlessly. The visual application editor allows you to add new components, resize them, reposition elements, and alter colors with ease. You can personalize each component using built-in properties and styles, all without writing a single line of code. Additionally, a viewer is provided to check the current properties of components, manage queries, and monitor global application states. ToolJet comes equipped with its proprietary database, ToolJet DB, which is based on PostgreSQL. Moreover, you have the flexibility to connect to various external data sources, including databases like PostgreSQL, MongoDB, MS SQL Server, Snowflake, and BigQuery, as well as API and GraphQL endpoints, SaaS tools such as Airtable, Stripe, and Google Sheets, along with cloud object storage services like AWS S3, Google Cloud Storage, and Minio. This comprehensive setup allows you to build robust applications tailored to your specific needs without any coding knowledge.

Vert.x enables handling a greater number of requests using fewer resources than traditional stacks and frameworks that rely on blocking I/O. It is well-suited for a variety of execution environments, including those with limitations such as virtual machines and containers. Have you heard that asynchronous programming can be daunting? We aim to make working with Vert.x a more accessible endeavor, ensuring that you don't compromise on accuracy or performance. By utilizing Vert.x, you can enhance deployment density and reduce costs instead of wasting resources. You can choose from various models that best suit your project's needs, including callbacks, promises, futures, reactive extensions, and (Kotlin) coroutines. Unlike a conventional framework, Vert.x operates as a toolkit, making it inherently composable and embeddable. We believe in giving you the freedom to design your application structure as you see fit. You can select the necessary modules and clients, seamlessly integrating them to build the application you envision. This flexibility allows developers to tailor solutions that perfectly align with their unique requirements.

Introducing a no-code platform designed for data cleaning, preparation, and machine learning tailored specifically for business applications, with options for on-premise installation to ensure data privacy. You can take advantage of Sweephy's complimentary modules right away, which offer no-code tools powered by machine learning. Simply provide the data and the keywords you wish to analyze, and our model will generate a comprehensive report based on those keywords. Beyond just a basic word check, our advanced model conducts semantic and grammatical classification to enhance accuracy. We can also assist in identifying duplicate or similar records within your database, facilitating the creation of a consolidated user database from various data sources using the Sweephy Dedupu API. Additionally, with our API, you can effortlessly develop object detection models by fine-tuning existing pre-trained models; just share your use cases and we will craft a suitable model tailored to your needs. This could include tasks like classifying documents, PDFs, receipts, or invoices. Simply upload your image dataset, and our model will efficiently eliminate any noise from the images or develop a specialized model to meet your specific business requirements. Our commitment to customer satisfaction ensures you receive a solution perfectly aligned with your goals.

Latitude is a comprehensive platform for prompt engineering, helping product teams design, test, and optimize AI prompts for large language models (LLMs). It provides a suite of tools for importing, refining, and evaluating prompts using real-time data and synthetic datasets. The platform integrates with production environments to allow seamless deployment of new prompts, with advanced features like automatic prompt refinement and dataset management. Latitude’s ability to handle evaluations and provide observability makes it a key tool for organizations seeking to improve AI performance and operational efficiency.

Effortless, effective, and budget-friendly. Create SQL queries effortlessly without any prior experience by using simple language. Just log in and express your needs in everyday terms, and the AI Bot will generate the SQL query you want. No coding skills or SQL expertise are necessary. Begin your free trial to discover how straightforward it is to produce the SQL you require with the help of AI. The AI Bot is designed to understand various languages, including English, Spanish, German, and several others. It automatically correlates your input with the database schema, setting it apart from other tools by incorporating schema context directly into your SQL queries. This guarantees that the SQL produced is both accurate and free from errors while remaining extremely user-friendly. You can save the generated SQL queries as snippets for future use, with options for private or team sharing. With just one click, you can connect to your database and execute the SQL query crafted by AI, making data management seamless and efficient. Additionally, you can customize your snippets to better fit your workflow or project needs.

Effortlessly create and manage ETL pipelines using Boltic, allowing you to extract, transform, and load data from various sources to any target without needing to write any code. With advanced transformation capabilities, you can build comprehensive data pipelines that prepare your data for analytics. By integrating with over 100 pre-existing integrations, you can seamlessly combine different data sources in just a few clicks within a cloud environment. Boltic also offers a No-code transformation feature alongside a Script Engine for those who prefer to develop custom scripts for data exploration and cleaning. Collaborate with your team to tackle organization-wide challenges more efficiently on a secure cloud platform dedicated to data operations. Additionally, you can automate the scheduling of ETL pipelines to run at set intervals, simplifying the processes of importing, cleaning, transforming, storing, and sharing data. Utilize AI and ML to monitor and analyze crucial business metrics, enabling you to gain valuable insights while staying alert to any potential issues or opportunities that may arise. This comprehensive solution not only enhances data management but also fosters collaboration and informed decision-making across your organization.

AIT pioneered the development of Virtual Private Server (VPS) architecture, ensuring that each VPS operates with its own complete file system along the virtual root. Currently, our VPS offerings stand out as the most advanced in the market, and their competitive pricing makes them the top choice among our hosting solutions, providing excellent value for our customers. We pride ourselves on not oversubscribing resources, which guarantees consistent performance. Each VPS Server includes full SSH root access for Linux users and Administrator privileges with RDP for Windows users. Additionally, our WHM Cpanel comes with exclusive root access, dedicated solely to you through your license. To maintain optimal performance, we carefully manage the physical hardware that supports our VPS Servers, avoiding the common pitfall of overcommitting resources by limiting the number of Virtual Private Servers on each parent host. This commitment ensures that the resources you invest in are consistently available and entirely dedicated to your needs, giving you peace of mind as you host your projects.

Akira.ai offers organizations a suite of Agentic AI, which comprises tailored AI agents aimed at refining and automating intricate workflows across multiple sectors. These agents work alongside human teams to improve productivity, facilitate prompt decision-making, and handle monotonous tasks, including data analysis, HR operations, and incident management. The platform is designed to seamlessly integrate with current systems such as CRMs and ERPs, enabling a smooth shift to AI-driven processes without disruption. By implementing Akira’s AI agents, businesses can enhance their operational efficiency, accelerate decision-making, and foster innovation in industries such as finance, IT, and manufacturing. Ultimately, this collaboration between AI and human teams paves the way for significant advancements in productivity and operational excellence.

The database interface allows users to view, modify, and visualize their data collaboratively, eliminating the need for advanced database knowledge. It emphasizes shared power among teams to ensure that no single group holds all the authority over the data. Users can manage queries, columns, rows, tables, and schemas seamlessly without the necessity of writing SQL code. Editing data is as easy as collaborating on a spreadsheet, fostering teamwork and efficiency. Say goodbye to disorganized snippets and SQL query blocks; instead, keep everything organized in one place. Team members can easily share their queries to avoid duplication of effort. This platform offers the simplest method to interact with your data without needing to write a single line of SQL. Outerbase seamlessly connects to various popular databases, allowing for quick selection of schemas, tables, and columns. It minimizes context-switching, all within an intuitive user interface designed for ease of use. The platform caters to complex data types like JSON, timestamps, and ENUMs, providing simple experiences for intricate data structures. Additionally, users can embed variables to create versatile and dynamic queries, while also being able to design impressive dashboards with just a few clicks. This makes data management not only efficient but also visually appealing and accessible for everyone involved.

Bid farewell to the annoyance of crafting intricate SQL queries! By simply importing your database schema, you can easily type your desired query in an intuitive interface. This tool allows for the effortless generation of complex SQL statements, eliminating the stress associated with creating the ideal query. It helps identify and rectify errors within your queries, saving you from the frustration of debugging your SQL code. Gain a deeper insight into queries with comprehensive explanations of their functionality. Understand the underlying logic of each query and the outcomes they yield. Enhance the clarity and readability of your SQL statements through an automatic formatting feature, ensuring your code remains tidy and accessible. With this user-friendly and intuitive platform, you can generate, correct, explain, and format your SQL queries seamlessly. Unlock the full potential of your data by leveraging advanced AI-powered features. Database Sensei is designed for developers, database administrators, and students who are eager to achieve faster and more efficient results, making it an invaluable tool for anyone working with databases. Whether you are a novice or an expert, this service transforms the way you interact with SQL.

Five is a low-code development platform that assists software developers in building and deploying bespoke business software. Rapidly build full-stack web applications using Five’s prebuilt features, such as a hosted SQL database, authentication, or access control. Five allows you to connect to multiple data sources and query almost any data source, including external databases like PostgreSQL, MySQL, SQL Server, and more, or REST APIs. With Five's native support for SQL, JavaScript, TypeScript, and HTML, developers can add full code almost anywhere, and they are not limited by what’s available out of the box. Five's free download is entirely free with no time limit. You can download it to your desktop and start building right away. When you have a production-worthy application, you can subscribe to one of our hosting plans. Five handles all the complicated deployment process, so you can concentrate on your applications.

Transform the way you view time in data analytics. With the ability to access your business data almost instantly, you can operate directly from your dashboard without the need to consult the IT team repeatedly. Introducing Indexima DataHub, a revolutionary environment that empowers both operational and functional users to obtain immediate access to their data. Through an innovative fusion of a specialized indexing engine and machine learning capabilities, Indexima enables organizations to streamline and accelerate their analytics processes. Designed for robustness and scalability, this solution allows companies to execute queries on vast amounts of data—potentially up to tens of billions of rows—in mere milliseconds. The Indexima platform facilitates instant analytics on all your data with just a single click. Additionally, thanks to Indexima's new ROI and TCO calculator, you can discover the return on investment for your data platform in just 30 seconds, taking into account infrastructure costs, project deployment duration, and data engineering expenses while enhancing your analytical capabilities. Experience the future of data analytics and unlock unprecedented efficiency in your operations.

Effortlessly link your data to the engine by either uploading a file or establishing a connection to a database. Once connected, you can begin to explore your data through various visualizations, or you can prepare it for machine learning modeling using data wrangling techniques and reusable recipes. Maximize the potential of your data by constructing machine learning models with regression, classification, or clustering algorithms—all without requiring any coding skills. Discover valuable insights into your dataset through tools that highlight feature importance, explain predictions, and allow for scenario analysis. Additionally, you can make forecasts and easily integrate them into your current systems using our pre-configured connectors, enabling you to take immediate action based on your findings. This streamlined process empowers you to unlock the full value of your data and drive informed decision-making.

ITmanager.net stands out as the premier comprehensive solution for enterprise server and network administration. This platform allows you to oversee and control all critical IT servers from any location. It is compatible with all desktop devices, mobile gadgets, and even the Apple Watch, ensuring accessibility at all times. With ITmanager.net, managing your Windows Exchange servers becomes straightforward from any device, whether mobile or desktop. Among its various features, users can create, disable, and delete mailboxes and distribution groups, as well as manage email addresses linked to those mailboxes. Additionally, you can monitor the sizes of mailboxes, modify user mailbox settings, and establish warning quotas for sending and receiving emails. The service also provides functionalities to enable or disable out-of-office auto-replies and message forwarding, alongside the capability to view message queues and remove messages associated with non-delivery reports (NDRs). Overall, ITmanager.net offers a robust suite of tools to ensure efficient management of your email and server infrastructure.

Harness the capabilities of sophisticated data analysis methods like correlation analysis, clustering, and forecasting to enhance your insights. Develop detailed and advanced visualizations to effectively communicate your findings with assurance. Optimize your data preparation with automated tools, allowing you to dedicate more time to the aspects that truly matter. TalktoData currently accommodates CSV, Excel files, and SQL databases including PostgreSQL, MySQL, MSSQL Server, and Snowflake. Should you have any specific format needs, feel free to contact us through chat support. Presently, we utilize a combination of ChatGPT's default models (GPT-3.5 Turbo) and GPT-4 for optimal performance. Rest assured, we do not retain any of your actual data; we simply present it without it ever interacting with our databases. Moreover, your connection details are securely stored as hashed values, ensuring that even in the unlikely event of a database breach, your information remains protected. Along with these security measures, we offer a generous free plan that enables you to begin your journey now, unlocking the full potential of data analysis. Join us today and experience the difference in your data-driven decision-making process.

Introducing a Clean Architecture ASP.NET 7 multi-tenant API, coupled with React and MVC Razor UI. This serves as the perfect foundation for crafting SaaS solutions, catering to B2B clients, or launching MVPs. It offers a minimalistic ASP.NET starting point, designed with individual developers and small teams in mind. It provides a streamlined alternative to the ABP framework, making it highly flexible and easy to customize. In essence, it's a comprehensive full-stack SaaS template that doesn't require you to start from square one. Why begin from scratch? Instead, direct your efforts towards constructing essential business logic, without worrying about security, user management, or standard functionalities. Propel your next MVP with the contemporary ASP.NET 7 SaaS Boilerplate. This ASP.NET Core API boilerplate revolves around multi-tenancy and adheres to a clean architecture principle while minimizing distractions. It's thoroughly documented and exceptionally adaptable. Whether you prefer React or MVC Razor, you can create stunning front-end interfaces effortlessly. Both themes encompass all the essential elements for crafting highly functional and visually appealing user experiences

With Secoda AI enhancing your metadata, you can effortlessly obtain contextual search results spanning your tables, columns, dashboards, metrics, and queries. This innovative tool also assists in generating documentation and queries from your metadata, which can save your team countless hours that would otherwise be spent on tedious tasks and repetitive data requests. You can easily conduct searches across all columns, tables, dashboards, events, and metrics with just a few clicks. The AI-driven search functionality allows you to pose any question regarding your data and receive quick, relevant answers. By integrating data discovery seamlessly into your workflow through our API, you can perform bulk updates, label PII data, manage technical debt, create custom integrations, pinpoint underutilized resources, and much more. By eliminating manual errors, you can establish complete confidence in your knowledge repository, ensuring that your team has the most accurate and reliable information at their fingertips. This transformative approach not only enhances productivity but also fosters a more informed decision-making process throughout your organization.

Utilize both voice and text commands to effortlessly gather all the information you require about your clients. Every piece of customer data, sourced from your internal systems as well as public web resources, can be accessed from a single location whenever needed. This innovative approach can save your prospecting and customer experience teams countless hours that would otherwise be spent on research. In just seconds each day, stay informed about all developments within your region or product line. You’ll receive reminders to express gratitude to loyal customers, follow up on overdue invoices, prepare for upcoming meetings, document notes from previous discussions, and much more. Many CRM implementations fall short due to poor or incomplete data; however, with Sales Assistant, you can gather extensive customer data in one centralized location, maximizing your CRM investment. Seamlessly manage intricate integration processes across various systems, incorporating SaaS data into your applications, portals, and intranets with ease. You'll have access to a single API that serves all your corporate software needs. Furthermore, this streamlined approach not only enhances data accessibility but also fosters improved collaboration among your teams.

RDS for MySQL, or Relational Database Service for MySQL, offers a robust and reliable cloud-based relational database solution designed for high performance. This service features an intuitive web interface for management, comprehensive data backup and recovery options, and extensive security management and monitoring capabilities. RDS for MySQL caters to various needs with its three available series: the basic stand-alone version, the dual high-availability version, and the Raft financial version. By default, it complies with standard database protocols and incorporates essential functionalities such as monitoring, automatic failover, data backup and recovery, and instance management. Additionally, it addresses customers’ advanced data management and storage needs through tools like slow SQL statistics and diagnosis, along with dependable services like cross-domain hot instance groups. It also enables disaster recovery within a single availability zone as well as across multiple zones, ensuring maximum data protection and availability. This comprehensive suite of features makes RDS for MySQL an optimal choice for businesses seeking efficient database management solutions.

Stellar Repair for MSSQL effectively restores various components of SQL databases, including tables, triggers, indexes, and stored procedures. It is capable of retrieving deleted records from SQL database tables while also extracting data from corrupted backup files. This tool ensures that SQL databases can be restored with minimal downtime, and it can repair corrupted MDF and NDF files as well as extract data from faulty backup (.BAK) files. Furthermore, it supports multiple versions of SQL, including 2022, 2019, 2017, 2016, and earlier editions. When a database's primary filegroup is suspected to be compromised due to issues such as a missing transaction log file or corruption, it gets flagged as 'suspect.' Situations like SQL server crashes during transactions, unexpected database shutdowns, or insufficient disk space can also lead to a database being marked as suspect, rendering it inaccessible. The Stellar SQL recovery solution is instrumental in recovering databases from this suspect mode, effectively returning them to a fully functional online state. Its capability to handle such diverse issues makes it an invaluable tool for database administrators.

Recoveryfix for SQL Database Recovery is a powerful tool designed to address and resolve various SQL database corruption problems. This software specifically targets the repair of damaged MDF files associated with SQL Server, which serve as the main data files that hold essential user information and database objects. MDF files can become corrupted for numerous reasons, including issues like a faulty database file header, errors in internal programs, damage to storage media, unexpected power outages, or abrupt application terminations. The software excels in rectifying all forms of MDF corruption, effectively handling nearly any scenario that arises. Equipped with sophisticated algorithms, it guarantees thorough and precise recovery of SQL database components, encompassing tables, views, triggers, stored procedures, indexes, rules, constraints, default constraints, user-defined functions, and user-defined data types. Additionally, the software prioritizes maintaining the configuration and properties of all SQL database objects throughout the recovery process, ensuring that users can restore their databases without loss of integrity or functionality. Furthermore, Recoveryfix aims to provide a user-friendly interface, making the recovery process accessible even for those with limited technical expertise.

Advanced database repair solutions designed for enterprise settings effectively mend damaged MDF and NDF SQL Server databases, addressing a wide array of SQL database issues. This software proficiently recovers essential database elements such as tables, triggers, indexes, keys, rules, and stored procedures, while also allowing for the deletion of records from the SQL database. It accommodates various versions of MS SQL Server, including 2019, 2017, 2016, 2014, 2012, 2008, and even earlier iterations. When corruption occurs, it typically impacts both primary data (.mdf) and secondary data files (.ndf), but this tool thoroughly scans, identifies, and rectifies affected data files, ensuring that the database is returned to full functionality. Additionally, issues stemming from a corrupted transaction log file (.ldf) can lead to numerous database errors, but EaseUS MS SQL Recovery automatically repairs the damaged log file alongside the rest of the database. After completion, the restored transaction log is conveniently saved in the same directory as the other recovered components, ensuring a seamless recovery process. This comprehensive approach to database repair enhances operational reliability and minimizes downtime for enterprises.

The software enables users to retrieve various SQL database file objects, including tables, procedures, triggers, views, programmability, defaults, and functions. It efficiently recovers damaged MDF and NDF files from SQL databases. This tool is fully compatible with both ROW and PAGE compression methods. It offers two recovery modes—standard and advanced—allowing users to address different types of SQL database corruption effectively. Users can preview SQL database files prior to saving them, ensuring they have control over the recovery process. It guarantees the recovery of SQL database files without any risk of data mismanagement or loss. The tool preserves the data in its original hierarchical structure throughout the recovery of corrupted SQL database files. Additionally, SQL Data Recovery Freeware can recover BLOB, XML, images, and large pages from SQL database MDF files, making it highly versatile. This software is compatible with all versions of Microsoft Windows operating systems. Designed with the inherent risks associated with MDF and NDF files in mind, SQL Data Recovery Freeware prioritizes user data integrity and safety. It is an essential tool for anyone looking to maintain the health and accessibility of their SQL databases.

To initiate the restoration process, first download and install the SQL Server database recovery tool on your computer. After installation, select the specific files you wish to recover and configure the settings as needed for the recovery operation. Once configured, click on the export button to restore the corrupted files to your system. Additionally, you have the option to export your database files along with the SQL script. Upon successfully recovering the MDF and NDF database files, the SQL repair tool will present a brief overview of the restored database objects, which may include items that were previously deleted. This recovery software is capable of restoring several NDF files simultaneously, as illustrated in the tool's interface. You can easily add multiple NDF files by selecting the add folder option, or you can utilize the auto-detect feature to automatically include NDF files. Moreover, the tool allows users to generate and save a report detailing the files that have been recovered, which is useful for maintaining a comprehensive record of all database management activities performed. In summary, utilizing this SQL Server recovery tool not only simplifies the restoration process but also enhances your ability to track and manage database recovery efforts.

Highly regarded SQL database recovery software endorsed by database administrators globally is designed to mend SQL Server databases efficiently. This software is capable of scanning and repairing corrupted primary MDF files and secondary NDF files, ensuring all associated objects are restored. Furthermore, it recovers all data from tables, views, stored procedures, rules, and triggers. In cases where a SQL Server database suffers irreparable damage, restoring from a recent backup is an option. Nonetheless, challenges arise when an object-level recovery is required rather than a complete database restore. Issues such as corruption in the file system, driver malfunctions, hardware failures, SQL Server engine complications, or page-level memory corruption can cause the checks conducted by Microsoft SQL Server DBCC CHECKDB to fail. Additionally, if a ransomware attack targets the SQL Server database file, it can lead to encryption with a .wallet file extension, rendering the file unusable and creating significant recovery challenges. In such scenarios, recovery software becomes indispensable for salvaging vital data.

Retrieve information from corrupted SQL database files, which include both MDF and NDF formats. In addition to recovering lost SQL Server objects through a comprehensive scan, users can restore elements like tables, triggers, stored procedures, rules, and functions. The tool also enables the export of recovered table records into a CSV format if necessary, and can facilitate data transfer to an SQL Server on the local network. It offers the flexibility to export data into a new or existing SQL database, and in cases where SQL is unavailable, data can be exported in SQL-compatible scripts. Users can choose to export either just the schema or both schema and data together. Furthermore, the software can recover data from MDF files affected by ransomware without compromising security. It supports a wide range of SQL versions, including 2022, 2019, 2017, 2016, 2014, 2012, 2008, 2005, and 2000, and is adept at resolving internal issues within MDF files to ensure users can establish a reliable connection. This comprehensive recovery tool is essential for maintaining the integrity and accessibility of valuable database information.

The SQL Database Recovery Tool enables the extraction of information from both MDF (.mdf) and NDF (.ndf) SQL files. It effectively retrieves comprehensive data elements from both primary and secondary databases, including functions, rules, stored procedures, tables, and more, ensuring no data is lost in the process. This MS SQL database repair software is capable of recovering deleted SQL databases while preserving their attributes and maintaining the original data format. Crafted to facilitate data retrieval from commonly utilized commands in SQL Server, the SQL MDF recovery software is user-friendly and efficient. The recovery tool is adept at addressing various scenarios where users encounter difficulties accessing their data. After the full restoration of data from both MDF and NDF files, users have the option to either directly save this information into SQL Server databases or store it in compatible SQL scripts. Additionally, upon scanning the database, the SQL repair tool automatically identifies the version of SQL Server that corresponds to the file in question, enhancing user convenience and streamlining the recovery process. This seamless integration ultimately helps users regain access to their vital data quickly and reliably.

SQL Database Recovery software offers two distinct scanning modes for retrieving data from damaged SQL database files: a quick scan and an advanced scan. The quick scan mode is ideal for files that are only moderately corrupted, whereas the advanced scan should be employed for severely corrupted MDF/NDF files to ensure effective recovery. This advanced option not only retrieves data but also presents a preview of the recovered items, allowing users to confirm their integrity before exporting them to the preferred format. The software is adept at restoring all essential components from compromised SQL databases, including views, tables, functions, rules, triggers, stored procedures, and associated keys. Utilizing this automated tool simplifies the recovery process, making it user-friendly. Additionally, the software has the capability to recover and even permanently delete SQL database data, with deleted table records clearly indicated in red for easy identification. Users have the option to restore removed SQL database objects, such as tables, stored procedures, functions, views, and triggers, all thanks to this comprehensive recovery solution. Furthermore, this tool ensures that users can efficiently manage their SQL database integrity, providing peace of mind in data restoration tasks.

SQL Database Recovery is a tool designed to fix corrupted MDF and NDF files associated with MS SQL Server databases. Additionally, it offers the capability to recover deleted entries from the MDF files of the MS SQL Server. Users can effectively extract, restore, and retrieve various database components, including the schema, objects, primary keys, foreign keys, and unique keys, ensuring data integrity and accessibility. With this program, users can maintain their database's functionality even in the event of corruption or accidental deletions.

The Aryson SQL Database Repair tool effectively repairs corrupted and damaged MDF files with exceptional precision, ensuring that the database hierarchy and object integrity are preserved. SQL database corruption can occur for various reasons, including damage to the MDF files' storage media, accidental deletion of the database, alterations in the MS SQL Server account, viral infections in the disk drive, and header file corruption, among others. This recovery software addresses all problems within the damaged database file, restoring it to a functional or new state rather than leaving it in a corrupted condition. Additionally, the SQL server recovery utility is capable of retrieving essential components like tables, views, triggers, defaults, programmability, and other vital functions of the SQL server database, making it a comprehensive solution for database maintenance and recovery. Ultimately, utilizing this tool can significantly enhance data reliability and accessibility for users.

Transmit only the modified data to the target location to eliminate latency issues and minimize resource consumption. Change data capture (CDC) serves as an effective strategy for synchronizing information efficiently. Utilizing log-based replication offers a seamless method for real-time data duplication without hindering the performance of the primary database. You can establish the complete solution swiftly, requiring no ongoing pipeline management. This allows your data teams to focus on more valuable initiatives. Implementing Artie is a straightforward process that involves just a few easy steps. Artie takes care of backfilling historical records and will consistently relay new modifications to the designated table as they happen. The system guarantees data consistency and exceptional reliability. Should an outage occur, Artie uses offsets in Kafka to resume operations from the last point, ensuring high data integrity while eliminating the need for complete re-synchronization. This robust approach not only streamlines data management but also enhances overall operational efficiency.

Hue delivers an exceptional querying experience through its advanced autocomplete features and sophisticated query editor components. Users can seamlessly navigate tables and storage browsers, utilizing their existing knowledge of data catalogs. This functionality assists in locating the right data within extensive databases while also enabling self-documentation. Furthermore, the platform supports users in crafting SQL queries and provides rich previews for links, allowing for direct sharing in Slack from the editor. There is a variety of applications available, each tailored to specific querying needs, and data sources can be initially explored through the intuitive browsers. The editor excels particularly in SQL queries, equipped with intelligent autocomplete, risk alerts, and self-service troubleshooting capabilities. While dashboards are designed to visualize indexed data, they also possess the ability to query SQL databases effectively. Users can now search for specific cell values in tables, with results highlighted for easy identification. Additionally, Hue's SQL editing capabilities are considered among the finest globally, ensuring a streamlined and efficient experience for all users. This combination of features makes Hue a powerful tool for data exploration and management.

Introducing a compact, edge-optimized SQL database engine that integrates artificial intelligence: Azure SQL Edge. This powerful Internet of Things (IoT) database is specifically designed for edge computing, offering features like data streaming and time series analysis alongside in-database machine learning and graph capabilities. By extending the highly regarded Microsoft SQL engine to edge devices, it ensures uniform performance and security across your entire data infrastructure, whether in the cloud or at the edge. You can create your applications once and deploy them seamlessly across various environments, including edge locations, on-premises data centers, or Azure. With integrated data streaming and time series functionalities, along with advanced analytics powered by machine learning and graph features, users benefit from low-latency performance. It enables efficient data processing at the edge, accommodating online, offline, or hybrid scenarios to address challenges related to latency and bandwidth. Updates and deployments can be managed easily via the Azure portal or your organization’s portal, ensuring consistent security and streamlined operations. Furthermore, leverage the built-in machine learning capabilities to detect anomalies and implement business logic directly at the edge, enhancing real-time decision-making and operational efficiency. This comprehensive solution empowers organizations to harness the full potential of their data, regardless of its location.

SQL Managed Instance, a member of the Azure SQL family, is a sophisticated cloud database solution that offers extensive compatibility with the SQL Server engine, dating back to SQL Server 2008, while providing the advantages of a fully managed platform as a service. By utilizing tools such as Azure Migrate or Azure Data Studio, you can confidently transition your custom and vendor applications to Azure, alleviating concerns about software updates, upgrades, or end-of-support scenarios. Since SQL Managed Instance operates on the SQL Server engine, it consistently incorporates the latest features and functionalities, ensuring your database remains current. Remarkably, it can fulfill your mission-critical needs up to five times faster and at a cost savings of up to 93 percent compared to AWS RDS. In various benchmarks covering both transactional and analytics workloads, SQL Managed Instance has demonstrated superior performance. Embrace the opportunity to accelerate your application modernization by leveraging the advanced capabilities of managed SQL Server in the cloud, empowering your organization to thrive in a competitive landscape.

Petti is an integrated database backup tool that includes cloud storage, protection and monitoring. It only requires a single-time installation. Currently only available for Microsoft SQL Server databases