A cloud-based database service that allows for easy set-up, scaling, and management of relational databases.

A fast and powerful data warehousing service, enabling efficient analysis and storage of large amounts of data.

A powerful and flexible solution for data warehousing and business intelligence, providing high-performance analytics and big data capabilities.

A columnar storage format designed for big data processing and analytics, making it efficient and useful for storing and querying large datasets.

A cloud-based data integration and analytics platform that allows users to analyze and visualize data from various sources in real-time.

A cloud-based relational database service, offering scalability and high availability, making it useful for businesses needing efficient data management.

A distributed SQL database that allows for horizontal scaling, high availability, and strong consistency.

A file format for storing structured data and is commonly used for data import/export and data analysis in databases.

A unified analytics platform built on Apache Spark, designed to streamline data processing and analytics, facilitating collaboration and advanced data-driven insights.

A highly efficient and powerful IBM database system, designed for IBM i platforms that helps to streamline and manage large amounts of data.

A powerful and versatile database management system that is useful for a wide variety of data storage and management tasks.

A high-performance, scalable, and secure database management system designed for mission-critical enterprise systems.

Industry-leading performance, ease of use, and integration with Power BI, while converging data lakes and warehouses to simplify organizations' investments in their analytics estate.

Integrates OneLake as a foundational data lake, enabling users to create workspaces and lakehouses for seamless data collaboration and analysis across various Microsoft Fabric compute experiences.

A powerful, open-source data warehousing and analytics platform used for big data management and analysis.

A lightweight data interchange format useful for storing and exchanging structured data in web applications.

A widely used open-source relational database management system that offers high performance, scalability and data integrity.

A popular open-source relational database management system, commonly used for web-based applications and data management.

A high-performance, scalable data warehouse appliance that enables rapid querying and analysis of large datasets using SQL.

A distributed SQL database designed to provide elastic scalability, high availability, and ACID compliance for cloud-based and containerized environments.

A data access standard that enables connectivity between different databases, making it useful for cross-platform data integration.

The world’s most popular database in enterprise market, designed for true distributed computing, handling the most complex and demanding needs.

A powerful open-source relational database management system known for its robust performance and scalability.

A high-performance relational database management system providing robust data management, scalability, and security for enterprise-level applications.

A high-performance, columnar database that allows for efficient data warehousing and analytics.

A cloud-based data warehouse platform that allows users to easily store, query and analyze large amounts of data in real-time.

A relational database management system developed by Microsoft that is widely used for data warehousing, business intelligence, and analytics.

A high-performance, scale-out relational database used for data warehousing and business intelligence applications.

A high-performance, column-oriented database useful for handling big data analytics and business intelligence tasks.