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1. Oracle
2. MySQL
3. Microsoft SQL Server
4. PostgreSQL
5. MongoDB
6. Redis
7. Snowflake
8. Elasticsearch
9. Firebase
10. IBM Db2
Oracle ( view profile )
Oracle is a widely used relational database management system (RDBMS) known for its advanced features, robust security, and efficient data processing capabilities. It supports multiple database models including relational, document store, graph, and spatial. Oracle offers cloud integration, JSON support in SQL, and manages large binary objects and PDF documents efficiently .
MySQL ( view profile )
MySQL is a popular open-source RDBMS ideal for web applications due to its high performance and reliability. It supports multiple database models including relational, document store, and spatial .
Microsoft SQL Server ( view profile )
Microsoft SQL Server is a widely used RDBMS that integrates seamlessly with Microsoft products and operates on both Windows and Linux platforms. It supports relational, document store, graph, and spatial database models. SQL Server offers numerous editions including Azure SQL Database for cloud deployments .
PostgreSQL ( view profile )
PostgreSQL is an open-source object-relational DBMS that supports advanced features like JSON, XML, and geospatial queries. It is known for its reliability, data integrity, and extensibility .
MongoDB ( view profile )
MongoDB is a popular document-oriented NoSQL database that stores data in flexible, JSON-like documents. It is designed to be scalable, high-performance, and easy to use. MongoDB supports features like aggregation, text search, and geospatial queries .
Redis ( view profile )
Redis is an open-source, in-memory data structure store that can be used as a database, cache, and message broker. It supports multiple data structures like strings, hashes, lists, sets, sorted sets, and more. Redis is known for its speed, simplicity, and wide language support .
Snowflake ( view profile )
Snowflake is a cloud-based data warehousing platform that combines the power of data warehousing, the flexibility of big data platforms, and the elasticity of the cloud. It is designed to be easy to use, scalable, and cost-effective .
Elasticsearch ( view profile )
Elasticsearch is an open-source, distributed search and analytics engine based on Apache Lucene. It is designed to be scalable, fast, and easy to use. Elasticsearch supports multiple data types, structured and unstructured data, and real-time search and analytics .
Firebase ( view profile )
Firebase is a comprehensive app development platform that includes a real-time NoSQL cloud database. It is designed to be easy to use, scalable, and secure. Firebase supports offline functionality, real-time updates, and seamless integration with other Firebase services .
IBM Db2 ( view profile )
IBM Db2 is a family of database servers that deliver high performance, scalability, and reliability. It supports both transactional and analytical workloads, and offers advanced features like in-memory processing, machine learning integration, and cloud deployment options . recommend reading