Business Software for PostgreSQL

Low-code backend-as a-service platform that allows you to quickly build hosted APIs. Our intuitive UI allows you to define your schema and we will provide a hosted backend and basic CRUD APIs. You have two options: either connect to your MongoDB instance or PostgreSQL. You will be able create APIs, add webhooks and integrate with the frontend. You will also receive an autogenerated documentation and a CMS built-in. Canonic's graph-based editor changes how we define data using content platforms. Visualize and instantly see relationships. Drag and drop is easier than drag and drop. A headless CMS that molds to your content. This makes authoring and publishing easy and quick. You can trigger workflows whenever data changes. Execute functions, deploy builds, and send messages. Canonic automatically generates detailed documentation about your APIs, including examples and their parameters.

If you're looking to establish a governed delta lake, create a data warehouse, or transition from a conventional database to a contemporary cloud data solution, Lyftrondata has you covered. You can effortlessly create and oversee all your data workloads within a single platform, automating the construction of your pipeline and warehouse. Instantly analyze your data using ANSI SQL and business intelligence or machine learning tools, and easily share your findings without the need for custom coding. This functionality enhances the efficiency of your data teams and accelerates the realization of value. You can define, categorize, and locate all data sets in one centralized location, enabling seamless sharing with peers without the complexity of coding, thus fostering insightful data-driven decisions. This capability is particularly advantageous for organizations wishing to store their data once, share it with various experts, and leverage it repeatedly for both current and future needs. In addition, you can define datasets, execute SQL transformations, or migrate your existing SQL data processing workflows to any cloud data warehouse of your choice, ensuring flexibility and scalability in your data management strategy.

Simplify your workflow by seamlessly syncing Google Sheets with your business systems. Our solution facilitates the connection, automation, and sharing of real-time data within Google Sheets, ensuring your reports, dashboards, and insights are consistently up-to-date. With just one click, you can integrate Google Sheets with any source system, automatically updating your spreadsheet with fresh data from your source systems. Additionally, you can keep track of your spreadsheets through notifications on Slack and email alerts. Coefficient serves as the crucial link in today’s data ecosystem. Business users, particularly those in sales and marketing, often find themselves dependent on IT teams to retrieve necessary data, which can slow project timelines, lead to inadequate datasets, and erode trust in data quality. Coefficient addresses this challenge effectively. By using Coefficient, business users gain the ability to access and analyze essential data in real-time within their preferred spreadsheet environment. This empowers every team member to leverage an innovative approach to spreadsheets, ultimately unlocking greater potential with their data and enhancing overall efficiency. Now, teams can make informed decisions faster, driving better business outcomes.

The enterprise database for time series, documents, and vectors. Store any type data and combine the simplicity and scalability NoSQL with SQL. CrateDB is a distributed database that runs queries in milliseconds regardless of the complexity, volume, and velocity.

Beats serves as a free and accessible platform designed specifically for single-purpose data shippers that transport data from numerous machines and systems to Logstash or Elasticsearch. These open-source data shippers are installed as agents on your servers, enabling the seamless transfer of operational data to Elasticsearch. Elastic offers Beats to facilitate the collection of data and event logs efficiently. Data can be directed to Elasticsearch or routed through Logstash, allowing for additional processing and enhancement before visualization in Kibana. If you're eager to start monitoring infrastructure metrics and centralizing log analytics swiftly, the Metrics app and Logs app in Kibana are excellent resources to explore. For comprehensive guidance, refer to Analyze metrics and Monitor logs. Filebeat simplifies the process of collecting data from various sources, including security devices, cloud environments, containers, and hosts, by providing a lightweight solution to forward and centralize logs and files. This flexibility ensures that you can maintain an organized and efficient data pipeline regardless of the complexity of your infrastructure.

Data connectors for ODBC data sources that are reliable and easy to use. Compatible with many third-party tools. The Devart ODBC drivers are high-performance connectivity solutions that provide enterprise-level features to access most popular database management system and cloud services. They can be used for reporting, analytics, BI and ETL on 32-bit and 64 bit Windows, macOS, and Linux. Our ODBC drivers support all standard ODBC API functions. They also support data types. This allows you to access live data from any location. The drivers allow direct access to your cloud accounts and databases, which eliminates the need to use the database client libraries. It also simplifies the deployment process and expands your application capabilities. We provide optimal data access through ODBC and native client libraries. Client libraries can be avoided as our ODBC drivers can connect directly via the native protocol without any client software.

DataSpider Servista boasts compatibility with over 80 adapters tailored for prominent data sources. It seamlessly integrates IBM Notes, kintone, Salesforce, and your preferred SAP applications, ensuring they function together as needed. The system adheres to established protocols without altering any existing frameworks. For instance, when establishing a connection with Salesforce, DataSpider Servista complies with all requisite Salesforce standards. Simply enter the connection details, configure your data acquisition, and DataSpider Servista begins its operation—connecting to Salesforce requires just these two straightforward steps. Additionally, it interfaces effortlessly with major cloud platforms such as Microsoft Azure and Amazon Web Services. We also stay updated on the latest offerings in services and applications, allowing us to deliver the most sought-after connecting adapters. DataSpider Servista demonstrates remarkable adaptability across various databases, protocols, and file types. Furthermore, it's just as simple to terminate or redirect a connection using an adapter, making it a user-friendly solution for data integration challenges. This versatility ensures that users can navigate their data landscape with ease and efficiency.

The IoT Platform provides all the essential tools to design and launch a comprehensive IoT application, allowing you to concentrate on your primary business objectives. With the IoT Platform, you can easily integrate it into your brand instead of starting from scratch, enabling you to connect with more customers promptly. Its flexible architecture, bolstered by IoT technologies, is perfect for service providers seeking to unify their customer base while securely managing the connection of IoT devices and applications to a single hosted server. Essentially, any device that communicates via MQTT over a TCP/IP layer qualifies as an MQTT client, since the MQTT protocol relies on TCP/IP for operation. Both the broker and client need to operate on a TCP/IP layer, which can also be utilized for MQTT over SSL. The Bevywise platform supports MQTT/TCP, facilitating the development of IoT applications efficiently. Additionally, the platform enables multi-tenant device management, allowing for the oversight of multiple customers' device data within a single framework, thereby empowering each client to effectively monitor and control their IoT devices. This approach not only enhances user experience but also streamlines management processes across different customers.

You can quickly create and share dynamic, customizable, and beautiful dashboards that showcase your data in just a few clicks. Explore your data with our no-code visualiser or perform deeper analysis using the state-of-the art SQL editor. A lightweight, powerful visualization layer will allow you to leverage the investments made in your data infrastructure. Superset doesn't require any additional ingestion layers and is independent of your underlying data architecture. Apache Superset is an open-source data visualization tool that was developed out of Airbnb. Preset was founded by the original creator and maintainer of Superset. It provides a complete, easy-to-use, enterprise-ready platform for Superset.

eRAG: The Power of ChatGPT with your Operational Data eRAG combines the power of real-time operational data with ChatGPT’s amazing user experience. With eRAG, you can get accurate, consistent answers and can carry out intuitive data exploration with your operational structured data. With its sophisticated semantic reasoning capabilities, eRAG lets you respond proactively to business as it happens with the confidence of knowing your decisions are grounded in concrete enterprise operational data. eRAG gives you immediate answers visualized as graphs, tables, and summaries. It gives you insights and explores additional angles. It even uses AI agents to suggest actions, based on situational data analysis. eRAG gives everyone in your organization—from IT leaders to frontline staff—the ability to easily engage with enterprise data in natural language, gain accurate insights instantly, and trigger actions when they matter most. With operational data at your fingertips, now is the time to change the way you work with data. With eRAG, you can query any number of live data sources without thinking about where the data is or how it’s stored. There’s no data prep, no aggregation, and no waiting. Just connect your data sources, and eRAG handles the rest. Delivered as a SaaS service, you can achieve fast time-to-value, with powerful insights at your fingertips.

Cube serves as a comprehensive platform that establishes a universal semantic layer aimed at streamlining and consolidating the management and analysis of enterprise data. By revolutionizing data management practices, Cube removes the challenges associated with inconsistent models and metrics, thereby providing users with reliable data that is also primed for AI applications. This innovative platform is instrumental for organizations seeking to expand their data infrastructure by harmonizing various data sources and generating uniform metrics applicable across different teams. Tailored for enterprises, Cube enhances analytical capabilities, ensures data accessibility, and facilitates effortless access to AI-driven insights. With Cube, companies can navigate the complexities of data management more effectively than ever before.

Mozart Data is the all-in-one modern data platform for consolidating, organizing, and analyzing your data. Set up a modern data stack in an hour, without any engineering. Start getting more out of your data and making data-driven decisions today.

No per-connection charges for setting up all the automated connections that you need. No per-connection fees for all the automated connections that you need. No technical expertise is required to set up and scale your cloud data warehouse or processing operations. Conversionomics allows you to make mistakes and ask hard questions about your data. You have the power to do whatever you want with your data. Conversionomics creates complex SQL to combine source data with lookups and table relationships. You can use preset joins and common SQL, or create your own SQL to customize your query. Conversionomics is a data aggregation tool with a simple interface that makes it quick and easy to create data API sources. You can create interactive dashboards and reports from these sources using our templates and your favorite data visualization tools.

IRI Voracity is an end-to-end software platform for fast, affordable, and ergonomic data lifecycle management. Voracity speeds, consolidates, and often combines the key activities of data discovery, integration, migration, governance, and analytics in a single pane of glass, built on Eclipse™. Through its revolutionary convergence of capability and its wide range of job design and runtime options, Voracity bends the multi-tool cost, difficulty, and risk curves away from megavendor ETL packages, disjointed Apache projects, and specialized software. Voracity uniquely delivers the ability to perform data: * profiling and classification * searching and risk-scoring * integration and federation * migration and replication * cleansing and enrichment * validation and unification * masking and encryption * reporting and wrangling * subsetting and testing Voracity runs on-premise, or in the cloud, on physical or virtual machines, and its runtimes can also be containerized or called from real-time applications or batch jobs.

Effortlessly transition your data, schemas, and objects from various sources to the cloud on a large scale. The Azure Database Migration Service serves as a helpful tool designed to streamline, direct, and automate your migration process to Azure. You can transfer your database alongside server objects, which encompass user accounts, agent jobs, and SQL Server Integration Services (SSIS) packages in one go. This service facilitates the migration of your data to Azure from popular database management systems. Whether you are transitioning from a local database or another cloud provider, the Database Migration Service accommodates essential migration scenarios for SQL Server, MySQL, PostgreSQL, and MongoDB. By leveraging PowerShell, you can save both time and effort in automating your migration to Azure. Additionally, the Database Migration Service is compatible with PowerShell cmdlets, enabling the automatic migration of multiple databases in one operation. This means you can efficiently manage migrations to Azure not only from on-premises but also from other cloud environments, ensuring a seamless transition for all your database needs.

The EMS Data Generator for MySQL is a remarkable application designed to create test data for MySQL database tables, offering options to save and modify scripts. This versatile utility enables users to replicate a production-like database environment, facilitating the simultaneous filling of multiple MySQL tables with test data. Users can specify which tables and columns to target for data generation, establish ranges of values, and create MySQL character fields based on specific patterns. Additionally, it allows for the input of custom value lists or the selection of values through SQL queries, along with tailored generation parameters for each type of field. With its diverse features, the tool simplifies the process of generating MySQL test data effectively. Furthermore, the Data Generator for MySQL includes a user-friendly console application, enabling one-click generation of test data using pre-defined templates. This added functionality streamlines workflows and enhances productivity for database developers.

A skilled visual designer is available to develop the user interface, data layer, and workflows for your application. The result is clean source code crafted with React and NodeJS. You can choose the framework and programming language that suit your needs best. Your application is built upon a widely accepted architecture, employing React, Redux, and React-router on the frontend, alongside NodeJS and Express for the backend. After creating your application view, you can easily integrate actual data into your components by connecting them to the database through a visual SQL query builder, ensuring that the data updates are instantly visible in the components. Build intricate user interfaces for business applications effortlessly by simply dragging and dropping components, making it as straightforward as using a mockup tool. Additionally, our designer possesses the capability to convert your designs into an aesthetically pleasing Bootstrap theme. We streamline numerous repetitive tasks, allowing you to concentrate on the more significant aspects of your project while enhancing the overall development experience. Ultimately, this approach not only improves efficiency but also elevates the quality of your application.

SQL Manager for PostgreSQL offers a variety of intuitive visual editors tailored for managing database and server objects. Users can seamlessly construct intricate queries through a visual interface or utilize an editor equipped with features such as code completion, code folding, and formatting options. The editor's layout can be customized to fit individual needs, enhancing the overall user experience. Additionally, query results can be exported effortlessly into multiple formats. Users have the ability to manipulate data using filters, grouping, sorting, and sub-levels, and can view the information in formats like JSON, Image, or XML, with export options available for popular formats including XLSX, CSV, TXT, XML, SQL, and more. The tool also supports advanced importing capabilities from various sources like MS Excel, MS Access, DBF, XML, ODF, and TXT, allowing users to select methods for adding data to existing tables, as well as processing or replacing the inserted data. Furthermore, data can be exported into an extensive range of widely-used formats such as MS Excel, MS Word, MS Access, HTML, PDF, TXT, CSV, DBF, XML, ODF, and beyond, with customizable settings for how the resulting data is presented. This versatility makes SQL Manager an invaluable tool for database management and data manipulation tasks.

Quickly generate manual backups for any database that is registered with ease. When all necessary configurations are already established, you can complete the backup process with just one click! Utilize a sophisticated step-by-step wizard to set up tasks for automatic backup procedures. You can incorporate multiple schedules as necessary and choose between local or UTC time formats for when tasks are executed. Optimize your time and storage by specifying which items should be included in the backup. Additionally, you can establish black and white lists while configuring advanced settings for the target structure. Enhance your efficiency by overseeing all backup operations from a centralized console. This allows you to create and track all your backup tasks conveniently from your computer, ensuring you have complete control over your data management.

Renowned startpoint security software products in the IRI Data Protector suite and IRI Voracity data management platform will: classify, find, and mask personally identifiable information (PII) and other "data at risk" in almost every enterprise data source and sillo today, on-premise or in the cloud. Each IRI data masking tool in the suite -- FieldShield, DarkShield or CellShield EE -- can help you comply (and prove compliance) with the CCPA, CIPSEA, FERPA, HIPAA/HITECH, PCI DSS, and SOC2 in the US, and international data privacy laws like the GDPR, KVKK, LGPD, LOPD, PDPA, PIPEDA and POPI. Co-located and compatible IRI tooling in Voracity, including IRI RowGen, can also synthesize test data from scratch, and produce referentially correct (and optionally masked) database subsets. IRI and its authorized partners around the world can help you implement fit-for-purpose compliance and breach mitigation solutions using these technologies if you need help. ​

Lucee stands out as the premier open-source CFML application server and engine, offering an extensive array of functionalities, including tags and functions that facilitate various web-related tasks. From handling images and PDF documents to managing XML, strings, numbers, and dates, Lucee is equipped to tackle it all! Additionally, Lucee simplifies the process of both consuming existing web services and creating new ones. As a community-driven open-source project, we invite contributions in multiple forms. For those interested in coding, our Contributors guide is a great place to start. You can also participate by engaging in discussions on our forum or contributing to the Lucee Association Switzerland's source code repository. Other ways to get involved include writing articles for our newsletter or blog, assisting with documentation, or providing support on our forums. Your involvement can help enhance the Lucee ecosystem, making it even more robust and user-friendly for everyone.

Datatron provides tools and features that are built from scratch to help you make machine learning in production a reality. Many teams realize that there is more to deploying models than just the manual task. Datatron provides a single platform that manages all your ML, AI and Data Science models in production. We can help you automate, optimize and accelerate your ML model production to ensure they run smoothly and efficiently. Data Scientists can use a variety frameworks to create the best models. We support any framework you use to build a model (e.g. TensorFlow and H2O, Scikit-Learn and SAS are supported. Explore models that were created and uploaded by your data scientists, all from one central repository. In just a few clicks, you can create scalable model deployments. You can deploy models using any language or framework. Your model performance will help you make better decisions.

FusionPBX serves as a versatile solution for both single and domain-based multi-tenant PBX setups, functioning as a carrier-grade switch, call center system, fax server, VoIP server, voicemail server, conference server, and voice application server, among other roles. Meanwhile, FreeSWITCH™ stands out as a highly adaptable and scalable communication platform that operates across multiple threads and platforms. It boasts an impressive array of features, including unlimited extensions, voicemail-to-email, music on hold, call parking, call center capabilities, call queues, and phone provisioning, catering to businesses of all sizes. By delivering corporate-level phone system functionalities, it meets the diverse needs of small, medium, and large enterprises alike. Significant efforts have been invested in enhancing security, resolving issues, and refining the codebase. Furthermore, ongoing advancements are being made in preparation for an upcoming release, with notable progress achieved; the master branch has outpaced the current version in several respects. As the team works meticulously to finalize the essential updates, anticipation builds for the enhancements that will accompany this release. The commitment to continuous improvement ensures that the platform will remain competitive and relevant in the rapidly evolving telecommunication landscape.

Visualize and comprehend database architectures while recognizing their interconnections. Develop robust logical and physical data models with precision. Reverse engineer current database frameworks to represent them visually in diagrams. Produce comprehensive reports in formats such as HTML, RTF, or PDF. Efficiently construct quality database designs or implement modifications to existing models automatically, supplying documentation across various platforms. Create intricate logical and physical entity-relationship models and facilitate both reverse and forward engineering of databases seamlessly. Connect to numerous databases natively and concurrently, including Oracle, SAP, MySQL, SQL Server, PostgreSQL, DB2, Ingres, and Microsoft Access. Maintain synchronization between models and existing databases through Change Script Generations and the Update Model functionalities. Effortlessly convert data architectures from one database platform to another, aiding in business migration efforts. Additionally, generate extensive hyperlinked reports detailing existing database structures in various formats, enhancing accessibility and usability. This comprehensive approach ensures a well-rounded understanding and efficient management of database systems.

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