Alternatives to SSAS

icCube, a Swiss-made analytics solution, is crafted for B2B SaaS product and development teams aiming to integrate advanced analytics directly into their applications. Our dashboards are designed to merge effortlessly within the SaaS solution's UI and UX, powered by icCube’s strong analytical engine, which supports complex data models with high-level security features. Adopting a developer-to-developer approach, the icCube team guides clients to ensure a smooth, rapid transition to production. We recognize the challenges of data navigation, so we’re thrilled to offer our Data Analytics Boutique Services. Tailored for both new and existing clients, this suite provides seamless data integration, fortified security, deep insights, automated decision-making, and visually impactful reports. At every project stage and throughout the product lifecycle, we partner closely with our clients, from providing quick feedback to full project and product launches.

Windocks provides on-demand Oracle, SQL Server, as well as other databases that can be customized for Dev, Test, Reporting, ML, DevOps, and DevOps. Windocks database orchestration allows for code-free end to end automated delivery. This includes masking, synthetic data, Git operations and access controls, as well as secrets management. Databases can be delivered to conventional instances, Kubernetes or Docker containers. Windocks can be installed on standard Linux or Windows servers in minutes. It can also run on any public cloud infrastructure or on-premise infrastructure. One VM can host up 50 concurrent database environments. When combined with Docker containers, enterprises often see a 5:1 reduction of lower-level database VMs.

The VertiPaq Analyzer is a powerful tool for examining the storage structures within a data model in Power BI and Analysis Services Tabular. It includes measures for various segments and partitions, such as pageable, resident, refresh date, and last access. Analysis Services offers a range of Dynamic Management Views (DMVs) to gather insights about the memory utilized by a data model. For instance, the DISCOVER_OBJECT_MEMORY_USAGE DMV reveals details about all objects currently residing in memory. This type of DMV can also be employed to monitor a Multidimensional instance of Analysis Services effectively. A notable contribution by Kasper de Jonge is the BISM Memory Report, a sample model that presents this information hierarchically, allowing users to easily identify the most resource-intensive databases, tables, and columns on a server. Should you wish to delve deeper into a specific database, additional detailed insights are accessible through other DMVs designed for this purpose. Understanding these tools and their capabilities can significantly enhance your data management strategies.

Kyvos is a semantic data lakehouse designed to speed up every BI and AI initiative, offering lightning-fast analytics at an infinite scale with maximum cost efficiency and the lowest possible carbon footprint. The platform provides high-performance storage for both structured and unstructured data, ensuring trusted data for AI applications. It is built to scale seamlessly, making it an ideal solution for enterprises aiming to maximize their data’s potential. Kyvos is infrastructure-agnostic, which means it fits perfectly into any modern data or AI stack, whether deployed on-premises or in the cloud. Leading companies rely on Kyvos as a unified source for cost-effective, high-performance analytics that foster deep, meaningful insights and context-aware AI application development. By leveraging Kyvos, organizations can break through data barriers, accelerate decision-making, and enhance their AI-driven initiatives. The platform's flexibility allows businesses to create a scalable foundation for a range of data-driven solutions.

AnalyticDB for MySQL is a powerful data warehousing solution that is designed to be secure, reliable, and user-friendly. It facilitates the creation of online statistical reports, multidimensional analysis frameworks, and real-time data warehouses with ease. Utilizing a distributed computing architecture, AnalyticDB for MySQL harnesses the cloud's elastic scaling capabilities to process vast amounts of data, reaching into the tens of billions of records in real-time. This service organizes data based on relational structures and allows for flexible computation and analysis using SQL. Moreover, it simplifies database management, enabling users to scale nodes in or out and adjust instance sizes as needed. Equipped with a variety of visualization and ETL tools, AnalyticDB for MySQL streamlines enterprise data processing significantly. Users can benefit from instantaneous multidimensional analysis, exploring extensive datasets in just milliseconds, thus providing invaluable insights promptly. Additionally, its robust features ensure that businesses can efficiently handle their data demands while adapting to changing requirements.

UnlimitedAnalytics® serves as a comprehensive enterprise solution designed for data analytics, business intelligence, capacity management, data warehousing, and reporting, employing a versatile algorithm that accommodates various data sources to form a streamlined, cohesive multi-dimensional data warehouse. After data is uploaded for processing and analysis, users are empowered to generate both detailed and executive-level graphic or tabular reports effortlessly. This capability is facilitated by the solution's ability to construct dynamic and real-time multi-dimensional data cubes, such as OLAP, PIVOT, and CROSSTAB, all without the need for any coding or scripting. For organizations aiming to transform vast amounts of data from diverse origins into actionable business insights, this tool becomes an invaluable asset for enhancing operational, tactical, and strategic decision-making processes. Additionally, it allows teams to visualize data trends and patterns, further enhancing their analytical capabilities.

Tad is an open-source desktop application available under the MIT License, designed specifically for the visualization and analysis of tabular data. This application serves as a swift viewer for various file types, including CSV and Parquet, as well as databases like SQLite and DuckDb, making it capable of handling large datasets efficiently. Acting as a Pivot Table tool, it facilitates in-depth data exploration and analysis. For its internal processing, Tad relies on DuckDb, ensuring rapid and precise data handling. It has been crafted to seamlessly integrate into the workflows of data engineers and scientists alike. Recent updates to Tad include enhancements to DuckDb 1.0, the functionality to export filtered tables in both Parquet and CSV formats, improvements in handling scientific notation for numbers, along with various minor bug fixes and upgrades to dependent packages. Additionally, a convenient packaged installer for Tad is accessible for users on macOS (supporting both x86 and Apple Silicon), Linux, and Windows platforms, broadening its accessibility for a diverse range of users. This comprehensive set of features makes Tad an invaluable tool for anyone working with data analysis.

Nucleon BizApp Studio is an advanced software platform designed for application design and development that minimizes or eliminates the need for extensive coding. It encompasses a variety of features including data editor forms, user controls, reports, charts, tables, cross tables, scripting, and other essential application components. With Data Forms, users can easily perform CRUD (create, read, update, delete) operations, as well as search and view data through HTML-based editor forms. The software offers a comprehensive form designer and viewer, enabling users to craft data editor forms equipped with various controls such as textboxes, date selectors, numeric fields, and image upload options, while also allowing data editing through these forms. It exclusively supports relational database management systems (RDBMS) like MS Access, Oracle, MySQL, PostgreSQL, and SQL Server for data operations, as it does not currently support NoSQL database solutions. Additionally, Nucleon BI enhances data analysis with its OLAP Cross Table features, offering a module that creates tables similar to MS Excel's Pivot Tables, specifically designed for in-depth multi-dimensional data analysis and the generation of cross-tab reports, making it a powerful tool for data-driven decision-making. This comprehensive suite of features ensures that users can effectively manage and analyze their data with ease.

Oracle SQL Developer Data Modeler is a complimentary graphical application designed to boost efficiency and streamline the process of data modeling. With this tool, users can effortlessly create, navigate, and modify various models, including logical, relational, physical, multi-dimensional, and data type models. The Data Modeler also offers capabilities for both forward and reverse engineering, while facilitating collaborative efforts through built-in source code management. It is versatile enough to be utilized in traditional setups as well as cloud-based environments. As part of the Oracle Database Tools suite, Oracle SQL Developer Data Modeler stands out as a comprehensive, independent product featuring a wide array of data and database modeling tools and utilities. Additional resources, including a general FAQ and other relevant materials, can be found on the Data Modeler homepage. This document aims to address some of the pricing-related inquiries that have emerged within the community, providing helpful insights for users navigating these questions.

Tabular is an innovative open table storage solution designed by the same team behind Apache Iceberg, allowing seamless integration with various computing engines and frameworks. By leveraging this technology, users can significantly reduce both query times and storage expenses, achieving savings of up to 50%. It centralizes the enforcement of role-based access control (RBAC) policies, ensuring data security is consistently maintained. The platform is compatible with multiple query engines and frameworks, such as Athena, BigQuery, Redshift, Snowflake, Databricks, Trino, Spark, and Python, offering extensive flexibility. With features like intelligent compaction and clustering, as well as other automated data services, Tabular further enhances efficiency by minimizing storage costs and speeding up query performance. It allows for unified data access at various levels, whether at the database or table. Additionally, managing RBAC controls is straightforward, ensuring that security measures are not only consistent but also easily auditable. Tabular excels in usability, providing robust ingestion capabilities and performance, all while maintaining effective RBAC management. Ultimately, it empowers users to select from a variety of top-tier compute engines, each tailored to their specific strengths, while also enabling precise privilege assignments at the database, table, or even column level. This combination of features makes Tabular a powerful tool for modern data management.

At 73Strings, we leverage over 25 years of expertise in private capital along with advanced real-time analytics and robust machine learning models. This powerful combination leads to a collaborative platform that enhances the speed, intelligence, and simplicity of valuation reporting. Financial data from investee companies is seamlessly uploaded through data warehouses, supplemented by information sourced from a variety of channels including market news, social media, earnings call transcripts, and more than 12 data partners like S&P Capital IQ, Gnews, Apollo, Currency Layer, Spyfu, as well as internal and alternative data sets gathered for customer analysis. The AI-driven valuation process enables users to choose from more than five valuation methods that align best with their investment strategies. Additionally, a suite of workflow tools can be utilized to compute the net asset value (NAV) by applying proportional weights to each chosen method. Users can also create tailored reports and dashboards featuring multiple widgets that automatically populate with graphic representations, tables, and insightful commentary or analysis, ultimately providing a comprehensive view of their investments. This innovative approach ensures that stakeholders have access to the most relevant and timely information for informed decision-making.

Oracle Data Service Integrator empowers organizations to swiftly create and oversee federated data services, allowing for unified access to diverse datasets. This tool is entirely built on standards, is declarative in nature, and promotes the reusability of data services. It stands out as the sole data federation solution that facilitates the development of bidirectional (both read and write) data services across various data sources. Moreover, it introduces an innovative feature that removes the need for coding by enabling users to graphically design both straightforward and intricate modifications to different data sources. Users can easily install, verify, uninstall, upgrade, and initiate their experience with Data Service Integrator. Initially branded as Liquid Data and AquaLogic Data Services Platform (ALDSP), Oracle Data Service Integrator still retains some references to these earlier names within its product structure, installation paths, and components. This continuity ensures that users familiar with the legacy names can still navigate the system effectively.

Handling and storing tabular data, such as that found in CSV or Parquet formats, is essential for data management. Transferring large result sets to clients is a common requirement, especially in extensive client/server frameworks designed for centralized enterprise data warehousing. Additionally, writing to a single database from various simultaneous processes poses its own set of challenges. DuckDB serves as a relational database management system (RDBMS), which is a specialized system for overseeing data organized into relations. In this context, a relation refers to a table, characterized by a named collection of rows. Each row within a table maintains a consistent structure of named columns, with each column designated to hold a specific data type. Furthermore, tables are organized within schemas, and a complete database comprises a collection of these schemas, providing structured access to the stored data. This organization not only enhances data integrity but also facilitates efficient querying and reporting across diverse datasets.

Entity Framework (EF) Core is a versatile, lightweight, and open-source version of the widely used Entity Framework data access technology that operates across different platforms. It empowers .NET developers to interact with databases through .NET objects, significantly reducing the amount of data-access code that would typically need to be written. In EF Core, data interaction occurs through a model, which consists of entity classes and a context object that acts as a connection to the database. This context object facilitates both querying and data manipulation. Developers can generate a model directly from an existing database or manually create one to correspond with the database schema. After establishing a model, EF migrations can be employed to build a database from it, allowing for the database to evolve in tandem with any changes made to the model. Furthermore, instances of entity classes can be retrieved from the database using Language Integrated Query (LINQ), and operations such as creating, deleting, and modifying records in the database are accomplished through these instances, thus streamlining the data management process. Overall, EF Core simplifies database interactions and enhances the efficiency of data-driven applications.

NoSQL refers to a specialized programming language designed for interacting with, managing, and altering non-tabular database systems. This type of database, which stands for "non-SQL" or "non-relational," allows for data storage and retrieval through structures that differ from the traditional tabular formats found in relational databases. Although such databases have been around since the late 1960s, the term "NoSQL" only emerged in the early 2000s as a response to the evolving demands of Web 2.0 applications. These databases have gained popularity for handling big data and supporting real-time web functionalities. Often referred to as Not Only SQL, NoSQL systems highlight their capability to accommodate SQL-like query languages while coexisting with SQL databases in hybrid architectures. Many NoSQL solutions prioritize availability, partition tolerance, and performance over strict consistency, as outlined by the CAP theorem. Despite their advantages, the broader acceptance of NoSQL databases is hindered by the necessity for low-level query languages that may pose challenges for users. As the landscape of data management continues to evolve, the role of NoSQL databases is likely to expand even further.

Qvu Data Service is a versatile tool designed for creating and managing ad-hoc queries and API data services, featuring an intuitive web interface that enables users to design and store their queries easily. Additionally, it offers REST API endpoints that allow both users and applications to run stored query documents, returning results in either tabular or JSON formats. Enhanced security is a key feature of Qvu Data Service, as it incorporates role-based access controls for data sources, table columns, and document groups, while also supporting authentication methods including Basic and OIDC. This comprehensive approach ensures that users can securely interact with their data while enjoying a seamless experience.

Database X-Ray, a SQL Server utility, allows you to view all database objects tabularly. It also shows the relationships between objects, such as objects referenced by a particular object and objects that reference this object. This includes Tables and Views as well as Stored Procedures. Functions and Triggers. You can see at a glance how deleting or changing a database object will affect it. You won't see that in a database diagram!) You can also view the DDL or code that created the object, copy it and use it however you want. You only need a valid database connection string, local or remote, to get started. Works with Azure SQL database too!

Sequelize serves as a contemporary ORM for Node.js and TypeScript, compatible with various databases including Oracle, Postgres, MySQL, MariaDB, SQLite, and SQL Server. It boasts robust features such as transaction support, model relationships, eager and lazy loading, and read replication. Users can easily define models and optionally utilize automatic synchronization with the database. By establishing associations between models, it allows Sequelize to manage complex operations seamlessly. Instead of permanently deleting records, it offers the option to mark them as deleted. Additionally, features like transactions, migrations, strong typing, JSON querying, and lifecycle events (hooks) enhance its functionality. As a promise-based ORM, Sequelize facilitates connections to popular databases such as Amazon Redshift and Snowflake’s Data Cloud, requiring the creation of a Sequelize instance to initiate the connection process. Moreover, its flexibility makes it an excellent choice for developers looking to streamline database interactions efficiently.

Turso is a distributed database service compatible with SQLite, designed to ensure low-latency data access for various environments, including online, offline, and on-device platforms. Built on the foundation of libSQL, which is an open-source variant of SQLite, Turso allows developers to position databases in proximity to their users, thereby boosting application performance significantly. It offers easy integration with a wide range of frameworks, languages, and infrastructure providers, which streamlines data management for applications that utilize large language models and AI agents. Among its many features, Turso includes unlimited databases, the ability to instantly roll back changes with branching, and advanced native vector search capabilities at scale, enabling effective parallel searches across different users, instances, or contexts using SQL database integration. The platform places a strong emphasis on security, implementing encryption for data both at rest and during transmission, while also adopting an API-first approach that simplifies programmatic database management. Additionally, Turso's architecture supports rapid scaling to meet the demands of growing applications, making it a versatile choice for developers in today's data-driven landscape.

Oracle Autonomous Data Warehouse is a cloud-based data warehousing solution designed to remove the intricate challenges associated with managing a data warehouse, including cloud operations, data security, and the creation of data-centric applications. This service automates essential processes such as provisioning, configuration, security measures, tuning, scaling, and data backup, streamlining the overall experience. Additionally, it features self-service tools for data loading, transformation, and business modeling, along with automatic insights and integrated converged database functionalities that simplify queries across diverse data formats and facilitate machine learning analyses. Available through both the Oracle public cloud and the Oracle Cloud@Customer within client data centers, it offers flexibility to organizations. Industry analysis by experts from DSC highlights the advantages of Oracle Autonomous Data Warehouse, suggesting it is the preferred choice for numerous global enterprises. Furthermore, there are various applications and tools that work seamlessly with the Autonomous Data Warehouse, enhancing its usability and effectiveness.

NGS-IQ offers integrated email and FTP capabilities along with the robust security features of IBM i and the ability to query external data sources. This solution allows you to enhance your reporting capabilities without the need for additional servers or databases in your network. With NGS-IQ™, business users and analysts can create queries that produce outputs in various formats, including Excel, Access, Word, PDF, CSV, TXT, HTML, and XML, as well as generate analytical reports and construct multidimensional models. Furthermore, it allows for the integration of web reporting that incorporates charts and drill-down functionalities into your intranet or web portal. Query developers benefit from a range of powerful, time-efficient tools, such as conditional (if-then) logic, calculations for new columns (fields), and run-time prompts for selecting records and applying calculation formulas. Additionally, the platform simplifies table (file) joins—whether inner, outer, exception, one-to-many, or unions—while offering program exits that facilitate unique data access and manipulation. The inclusion of query usage statistics and change management also enhances the overall efficiency of the querying process. Ultimately, NGS-IQ equips users with a comprehensive toolkit to streamline data reporting and analysis.

Access SQL Planner application on any device, from anywhere. Manage your SQL server (automatic SQL health analysis, monitoring and validation, index defragmentation, stats maintenance and automation), with ease. SQL Planner can be installed locally on any Microsoft Windows operating system machine. You will need to provide SQL server credential (ensure it is granted Server view state permission or higher privilege Sysadmin) that will be used to monitor or analyze for health. SQL Planner collects performance and server usage data quickly, ensuring that your SQL runs smoothly. It also alerts you via email when there are critical factors such as high CPU, RAM, disk use, database usage, or excessive drive space usage. SQL Planner instance can be used from browser (Firefox Mozilla preferred), same can be accessed by anyone in your network without installing in another machine, or through mobile device.

This is the essential tool for metadata management. In just 5 minutes, automatically populate your entire catalogue! Data Discovery. Data Discovery. Find the data you need from any part of your data ecosystem, starting with the database and ending with the specific values for each field. Automated documentation of your data from existing data storage. First-class support for unstructured and tabular data. Automated data governance actions. Data Lineage. Data Lineage. Explore your data lineage to understand where your data is coming from and where it is headed. View the impact analysis of changes. See all up- and downstream impacts. Visualize connections and relationships. API AccessNew. Tree Schema API allows you to manage your data lineage in code and keep your catalog current. Integrate Data Lineage in CICD pipelines Capture values & description within your code Analyze the impact of breaking changes. Data Dictionary. Know the key terms and lingo which drive your business. Define the context and scope of keywords

Oracle SQL Developer is a versatile, free development environment designed to streamline the processes of developing and managing Oracle Database, whether in traditional settings or on the Cloud. It provides comprehensive support for the complete lifecycle of PL/SQL application development, includes a worksheet for executing queries and scripts, and features a DBA console for efficient database management. Additionally, it offers a reporting interface, an extensive data modeling solution, and a platform for migrating third-party databases to Oracle. You can execute SQL commands and scripts, manage user accounts, create and modify database objects, import data into new or existing tables, troubleshoot performance issues, visualize your database schemas, and much more. It encapsulates the capabilities of a robust desktop tool within your web browser. Furthermore, with Oracle REST Data Services, users can also access their on-premises database instances seamlessly, and the platform facilitates the migration from Oracle On-Premises to Oracle Cloud effortlessly, allowing for easy interaction and management of database content. This tool enhances productivity by making database management and development accessible at any time, from virtually anywhere.

Say goodbye to intricate log management setups and effortlessly retrieve log information from Docker containers, Kubernetes, and remote log files via SSH. With Retrospective, tedious search and monitoring tasks are transformed into a matter of mere minutes, utilizing just your laptop without the need for log collector agents or additional software. This tool allows you to efficiently search and oversee extensive collections of log files from both local and remote origins, ensuring that your servers remain unburdened. You can navigate your files through Retrospective’s sophisticated features to delve into your search and monitoring outcomes. Keep an eye on container log data while easily identifying points of interest within your local container logs using the intuitive search criteria composer. Furthermore, Retrospective provides a consolidated view of your entire setup, accommodating multiple containers operating simultaneously within your Docker environment. The organized data can also be exported in various formats for compatibility with other analytical tools, making it a versatile asset for log management. This streamlined approach not only saves time but also enhances your overall operational efficiency.

SQL Managed Instance, part of the Azure SQL family, offers an intelligent cloud database solution that pairs extensive SQL Server engine compatibility, dating back to SQL Server 2008, with the advantages of a fully managed and current platform as a service. By successfully utilizing tools like Azure Migrate or Azure Data Studio, you can confidently transition your custom applications and those provided by vendors to Azure without the hassle of managing updates, upgrades, or the risk of end-of-support issues. Built on the robust SQL Server engine, SQL Managed Instance ensures that you always have access to the newest SQL features and capabilities. This service meets critical performance requirements significantly faster—up to five times quicker—while also saving you as much as 93 percent compared to AWS RDS. Discover how SQL Managed Instance has excelled in three distinct benchmarks that evaluate both transactional and analytical workloads, demonstrating its superior performance. By leveraging the latest managed SQL Server features in the cloud, you can effectively accelerate your application modernization efforts and streamline your overall operational efficiency.

Aqua Data Studio is a tool for database administrators and database developers. It also helps data and business analysts manage data platforms and analyze data visually. It offers a unique combination, unlike its competitors, of a full-featured database editor and visual analytics. It also supports flexible import and export, advanced SQL queries optimization, extensive comparisons of databases and data, as well as powerful team collaboration.

Offers superior scalability compared to traditional spreadsheets. With a multidimensional data model, it allows for the efficient management of thousands of worksheets. Users can seamlessly transform, aggregate, or duplicate millions of cells with just a few clicks. The data is perpetually primed for business intelligence and dashboarding. Ensuring reliable formulas means no more dealing with broken references or tedious copy-and-paste tasks. Users can express intricate logic simply through formulas by leveraging the relationships within the data model, eliminating the risks associated with typical VLOOKUP errors. It supports multi-user access, allowing hundreds of individuals to collaborate on the model at the same time. Security is built into the system, granting users control over which sections of each worksheet can be shared, while providing options for special permissions to add or delete rows. Only those designated as model designers have the ability to view or alter the formulas. More user-friendly than a traditional multidimensional database, it is designed to be intuitive and easy to learn, enabling individuals with spreadsheet experience to grasp the system within just one or two days. Users can continue to employ standard functions, and many existing spreadsheet models can be directly converted to CubeWeaver without issue, enhancing workflow and productivity even further.

Graph databases, which are a key feature of Oracle's converged database solution, remove the necessity for establishing a distinct database and transferring data. This allows analysts and developers to conduct fraud detection in the banking sector, uncover relationships and links to data, and enhance traceability in smart manufacturing, all while benefiting from enterprise-level security, straightforward data ingestion, and robust support for various data workloads. The Oracle Autonomous Database incorporates Graph Studio, offering one-click setup, built-in tools, and advanced security measures. Graph Studio streamlines the management of graph data and facilitates the modeling, analysis, and visualization throughout the entire graph analytics lifecycle. Oracle supports both property and RDF knowledge graphs, making it easier to model relational data as graph structures. Additionally, interactive graph queries can be executed directly on the graph data or via a high-performance in-memory graph server, enabling efficient data processing and analysis. This integration of graph technology enhances the overall capabilities of data management within Oracle's ecosystem.

SQL Inventory Manager allows database administrators to manage SQL Server inventory in physical, virtual, or cloud environments. It is unlike other products, it automatically detects SQL Server instances, databases and analysis services in your network, protection against back-level versions and missing security patches. It also provides quick display of server details to determine licensing cost and monitor instance health.

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.

SQL Server Integration Services serves as a robust platform designed for developing high-level solutions focused on data integration and transformation. It enables organizations to tackle intricate business challenges by facilitating the copying or downloading of files, populating data warehouses, cleaning and analyzing data, as well as overseeing SQL Server objects and their corresponding data. The platform is capable of extracting and transforming data from numerous sources, including XML files, flat files, and relational databases, before loading it into various destinations. Integration Services comes equipped with a comprehensive array of built-in tasks and transformations, along with user-friendly graphical tools that allow users to construct packages seamlessly. Additionally, the Integration Services Catalog database serves as a repository for storing, executing, and managing these packages. Users can take advantage of the visual tools within Integration Services to devise solutions without the need for any coding, but they also have the option to leverage the extensive object model to develop packages programmatically and implement custom tasks as needed. This flexibility makes Integration Services suitable for both novice users and experienced developers alike.

Stellar Data Recovery for Tape retrieves data from the tape and creates an image file. It then saves it to your computer. After creating an image, the software loads it, scans it and displays the scanned data as a tabular format. You can view the data in the table and save it to your computer. 1- Creates an image dump for data recovery 2- Support for BKF, TAR, CPIO & TSM 3- Recover all File Formats from Tape Drives 4- All Makes and Models Recover Data 5- Preview Recoverable Tape Data 6- Displays Archived Data in Tabular Format 7- Save Tape Image, Recover Data Later 8- Simple and intuitive software 9- Choose the block size to restore tape data 10- Save Tape Data to the Desired Location 11- Compatible with LTO1, LTO2, LTO3, LTO4 and above. Minimum System Requirements: •Processor: Intel-compatible (x86, x64) •OS: Windows 11, 10, 8.1, 8, 7 •Memory: 8 GB (recommended) 4 GB (min) •Hard Disk: 250MB

Maps offer a visual representation of data, enabling users to comprehend locations and derive additional insights from their information. Crafting an effective map, which simplifies the data collection process, necessitates robust analytical tools and precise symbolization. GeoMedia serves as a comprehensive solution, whether the task involves updating land and tax records, scrutinizing traffic patterns and incidents, or identifying optimal sites for evacuation centers, by merging tabular and geographical data to yield practical insights. This versatile GIS management platform allows you to consolidate information from multiple sources and analyze it collectively, leading to the extraction of clear, actionable insights. With its ability to provide simultaneous access to geospatial data in nearly any format, GeoMedia presents this information in a cohesive map view, facilitating efficient processing, analysis, presentation, and sharing. By leveraging GeoMedia’s capabilities, users can effectively navigate and interpret a wide range of dynamically evolving data, empowering them to make informed and strategic decisions. Ultimately, the use of GeoMedia enhances the quality of decision-making by transforming complex data into easily digestible visual formats.

Make informed decisions by efficiently testing and modeling intricate business assumptions, whether in the cloud or on-premises. Oracle Essbase empowers organizations to swiftly extract insights from multidimensional datasets through what-if analyses and data visualization tools. Forecasting both company and departmental performance becomes a straightforward task, enabling the development and management of analytic applications that leverage business drivers to simulate various what-if scenarios. Users can oversee workflows for multiple scenarios all within a unified interface, simplifying submissions and approvals. The sandboxing features allow for rapid testing and evaluation of models, ensuring the best-suited model is chosen for production. Additionally, financial and business analysts benefit from over 100 ready-to-use mathematical functions that can be effortlessly implemented to generate new data insights. This comprehensive approach enhances the strategic capabilities of organizations, ultimately driving better performance outcomes.

Ahsay Backup Software is designed for IT consulting companies, system integrators, managed service providers, and system integrators. It will allow you to offer your customers a secure, managed, cloud-hosted, and on-premises backup service and generate recurring income. The server-client architecture is the best solution. The server-side central management console (AhsayCBS) can be installed on your backup server or a cloud platform like Microsoft Azure. We can also provide a shared hosted CBS for you if you don't wish to host it. AhsayOBM is for backing up servers, databases, and Office 365 as an admin; AhsayACB is for backing up customers' computers. OBM backs up servers, databases, and virtual machines, as well as Microsoft 365 admin; ACB backs up files on desktops and laptops and individual users of Microsoft 365. Ahsay Mobile is for backing up iOS and Android mobile devices and is a two-factor authentication tool to protect AhsayCBS/AhsayOBM/AhsayACB from hackers.

SQL Server Data Tools (SSDT) revolutionizes the way database development is approached by offering a comprehensive, declarative framework that integrates seamlessly into Visual Studio throughout every stage of the process. With SSDT's Transact-SQL design features, you can efficiently create, troubleshoot, manage, and enhance databases. You have the flexibility to operate within a database project or directly interact with a database instance, whether it is hosted on-premises or in the cloud. Familiar Visual Studio features facilitate database development, including code navigation, IntelliSense, language support akin to that in C# and Visual Basic, targeted validation, debugging tools, and declarative editing capabilities in the Transact-SQL environment. Additionally, SSDT includes a visual Table Designer, which simplifies the creation and modification of tables in both database projects and connected instances. In collaborative settings, you can also leverage version control to manage all project files effectively, ensuring that team contributions are streamlined and organized. This integration not only enhances productivity but also fosters collaboration among developers working on complex database solutions.

Amazon Elastic Inference offers a cost-effective way to enhance Amazon EC2 and SageMaker instances or Amazon ECS tasks with GPU-powered acceleration, potentially cutting deep learning inference expenses by as much as 75%. It seamlessly supports models built with TensorFlow, Apache MXNet, PyTorch, and ONNX. Inference involves predicting outcomes based on a model that has already been trained. Notably, in the realm of deep learning, inference can account for up to 90% of total operational costs due to two main factors. The first factor is that dedicated GPU instances are primarily optimized for training rather than inference; training typically involves processing numerous data samples concurrently, whereas inference often handles one input at a time in real time, leading to minimal GPU resource usage. Consequently, this results in an inefficient cost structure for standalone GPU inference. Conversely, standalone CPU instances lack the necessary specialization for matrix operations and therefore tend to be inadequate for the speed requirements of deep learning inference. By integrating Elastic Inference, users can strike a balance between performance and cost, ensuring that their inference workloads are handled more efficiently.

Etherpad enables users to collaboratively edit documents in real-time, functioning similarly to a browser-based multi-player editor. Whether you're crafting articles, writing press releases, or creating to-do lists, you can collaborate seamlessly with friends, classmates, or coworkers, all contributing to the same document simultaneously. Each Etherpad instance offers comprehensive access to data via a well-documented API, along with support for importing and exporting various major data formats. Should the default features fall short of your requirements, a plethora of plugins is available to tailor your experience to your specific needs. There's no necessity to configure a server or install Etherpad yourself; simply choose from one of the many publicly accessible instances set up by generous users from around the globe. As an open-source project, Etherpad thrives on community involvement and continuous improvement. This collaborative tool not only fosters teamwork but also enhances productivity by allowing multiple users to contribute and edit in real time.

DxEnterprise is a versatile Smart Availability software that operates across multiple platforms, leveraging its patented technology to support Windows Server, Linux, and Docker environments. This software effectively manages various workloads at the instance level and extends its capabilities to Docker containers as well. DxEnterprise (DxE) is specifically tuned for handling native or containerized Microsoft SQL Server deployments across all platforms, making it a valuable tool for database administrators. Additionally, it excels in managing Oracle databases on Windows systems. Beyond its compatibility with Windows file shares and services, DxE offers support for a wide range of Docker containers on both Windows and Linux, including popular relational database management systems such as Oracle, MySQL, PostgreSQL, MariaDB, and MongoDB. Furthermore, it accommodates cloud-native SQL Server availability groups (AGs) within containers, ensuring compatibility with Kubernetes clusters and diverse infrastructure setups. DxE's seamless integration with Azure shared disks enhances high availability for clustered SQL Server instances in cloud environments, making it an ideal solution for businesses seeking reliability in their database operations. Its robust features position it as an essential asset for organizations aiming to maintain uninterrupted service and optimal performance.

ProjectSync efficiently replicates project entities—such as projects, tasks, and resources—into a SQL database, significantly reducing the time required to respond to events in Project Online, like saving or publishing. It can be set up to utilize the same database as ListSync, enabling seamless integration of Project Site list data and Project Online entity data within queries. The solution stores SharePoint list information in a Microsoft SQL Server database, and users can select either an Azure SQL database or an On-premise SQL Server based on their needs. Additionally, it facilitates data connection to existing reporting systems, including BI Service, Power BI, and Tableau. ProjectSync also allows for the creation of multiple environments, which is advantageous for managing development, testing, and production release processes. Furthermore, departments can have their data segregated into different databases, accommodating instances such as ICT and operations if they utilize separate Project Online instances. ThorApps provides its own secure SSRS farms for storing this data, ensuring safety and accessibility. By offering these robust features, ProjectSync not only enhances data management but also streamlines workflow processes across various departments and reporting platforms.

Tablestore facilitates effortless growth in data capacity and access concurrency by utilizing data sharding along with server load balancer technologies, allowing for the storage and instantaneous retrieval of extensive structured data. It maintains three data copies that ensure high consistency, robust service availability, and exceptional reliability. The system offers comprehensive and incremental data tunnels that link seamlessly with an array of products designed for extensive data analysis and real-time streaming computation. Its distributed architecture features automatic scaling for individual tables, accommodating up to 10 petabytes of data and supporting access concurrency in the millions. Additionally, it includes multi-dimensional and multi-level security measures alongside resource access management to guarantee the protection of data. The service's low latency and high concurrency, combined with elastic resource allocation and a Pay-As-You-Go billing model, empower your risk management system to function at peak efficiency, enabling strict oversight of transaction-related risks while adapting to changing demands. This ensures that organizations can respond swiftly to market fluctuations and maintain operational resilience.

Adapta Software Inc. is the creator behind the AdaptAccounts suite of flexible accounting software solutions. Established in 1986, Adapta Software aimed to innovate the AdaptAccounts series by incorporating cutting-edge database technology into traditional accounting applications. The first version of AdaptAccounts was released in 1987, followed by the introduction of Client/Server database accounting solutions in 1998. Today, AdaptAccounts is utilized by businesses in sectors such as distribution, manufacturing, and services both within the United States and around the globe. This modular suite is designed to offer adaptable and integrated database accounting applications complete with accessible source code. The versions of AdaptAccounts that run on SQL Server have been compatible with SQL Server 2012, 2008, 2005, 2000, and 7, while earlier versions have also supported a range of other database systems, including Oracle and InterBase/Firebird. The continuous evolution of AdaptAccounts reflects the company's commitment to enhancing accounting efficiency for diverse industries.

Splynx stands out as the premier billing and management software tailored specifically to meet the diverse needs of ISPs. By eliminating the need for multiple platforms, businesses can significantly reduce their operational expenses. The software facilitates comprehensive management and optimization across all aspects of an ISP's operations. We pride ourselves on delivering outstanding customer support, ensuring our clients receive immediate assistance whenever necessary. Splynx can be conveniently deployed either on-premise or on our secure cloud server. Your data is protected with frequent backups every six hours to an encrypted server, guaranteeing that you will never face data loss. Our expert team is dedicated to simplifying the migration process from your existing platform, whether it involves exported data from Excel/CSV files or any Radius server database. Additionally, you can establish centralized customer authentication, implement restrictions for non-paying users, analyze internet usage statistics, and support various types of equipment and vendors to enhance your service offerings. With Splynx, you can streamline your operations while ensuring robust support for your technological infrastructure.

Oracle's bare metal servers offer clients a dedicated infrastructure that ensures isolation, visibility, and control. Designed to accommodate applications that demand substantial processing power, these servers can scale to an impressive 128 cores—the highest available in the market—along with 2 TB of RAM and up to 1 PB of block storage. This capability allows users to construct robust cloud environments on Oracle’s bare metal servers, achieving notable performance enhancements compared to other public cloud solutions and traditional on-premises setups. The E4 series of compute instances features the largest bare metal option in the industry, boasting 128 OCPUs and 2 TB of memory, making it suitable for a wide range of enterprise applications that can efficiently operate on a single AMD-based instance. Furthermore, bare metal servers are particularly advantageous for executing high-performance, latency-sensitive, specialized, and conventional workloads directly on dedicated hardware, similar to on-premises configurations. Ideal for situations where nonvirtualized environments are necessary, these bare metal instances can significantly optimize workload performance. Overall, the flexibility and power of Oracle's bare metal servers position them as a compelling choice for businesses looking to enhance their computational capabilities.

To effectively utilize the ZetaAnalytics product, a compatible database appliance is essential for the Data Warehouse setup. Landmark has successfully validated the ZetaAnalytics software with several systems including Teradata, EMC Greenplum, and IBM Netezza; for the latest approved versions, refer to the ZetaAnalytics Release Notes. Prior to the installation and configuration of the ZetaAnalytics software, it is crucial to ensure that your Data Warehouse is fully operational and prepared for data drilling. As part of the installation, you will need to execute scripts designed to create the specific database components necessary for Zeta within the Data Warehouse, and this process will require database administrator (DBA) access. Additionally, the ZetaAnalytics product relies on Apache Hadoop for model scoring and real-time data streaming, so if an Apache Hadoop cluster isn't already set up in your environment, it must be installed before you proceed with the ZetaAnalytics installer. During the installation, you will be prompted to provide the name and port number for your Hadoop Name Server as well as the Map Reducer. It is crucial to follow these steps meticulously to ensure a successful deployment of the ZetaAnalytics product and its features.

Oracle Enterprise Metadata Management (OEMM) serves as a robust platform for managing metadata. It is capable of harvesting and cataloging metadata from a wide array of sources, such as relational databases, Hadoop, ETL processes, business intelligence systems, and data modeling tools, among others. Beyond merely acting as a repository for metadata, OEMM facilitates interactive searching and browsing of the data, while also offering features like data lineage tracking, impact analysis, and both semantic definition and usage analysis for any asset in its catalog. With its sophisticated algorithms, OEMM integrates metadata from various providers, creating a comprehensive view of the data journey from its origin to its final report or back. The platform's compatibility extends to numerous metadata sources, including data modeling tools, databases, CASE tools, ETL engines, data warehouses, BI systems, and EAI environments, among many others. This versatility ensures that organizations can effectively manage and utilize their metadata across diverse environments.

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

InterSystems Cache®, a high-performance database, powers transaction processing applications all over the globe. It's used for everything, from mapping a million stars in the Milky Way to processing a trillion equity trades per day to managing smart energy grids. InterSystems has developed Cache, a multi-model (object-relational, key-value), DBMS and application server. InterSystems Cache offers multiple APIs that allow you to work with the same data simultaneously: key/value, relational/object, document, multidimensional, object, object, and object. Data can be managed using SQL, Java, node.js.NET, C++ and Python. Cache also offers an application server that hosts web apps (CSP, REST, SOAP and other types TCP access for Cache data).

Introducing an innovative solution for the automatic training, assessment, and deployment of cutting-edge Machine Learning models. AutoTrain provides a streamlined approach to train and launch advanced Machine Learning models, fully integrated within the Hugging Face ecosystem. Your training data is securely stored on our server, ensuring that it remains exclusive to your account. All data transfers are secured with robust encryption. Currently, we offer capabilities for text classification, text scoring, entity recognition, summarization, question answering, translation, and handling tabular data. You can use CSV, TSV, or JSON files from any hosting source, and we guarantee the deletion of your training data once the training process is completed. Additionally, Hugging Face also offers a tool designed for AI content detection to further enhance your experience.