With its powerful and open-source database system, PostgreSQL is among the top database in the market. This relational database is highly extensible and scalable, uses the SQL language, and allows you to add custom functions using different programming languages such as C/C++, Java, etc.
MySQL is an open-sourced relational database management system with numerous advanced features. Globally renowned to be the most secure and reliable database, MySQL allows for flexibility, scalability, high performance, complete workflow control and much more.
MariaDB is a relational database management system made by the developers of MySQL. This database is open-sourced, provides an SQL interface for accessing data and is highly compatible with MySQL. Known for its capability to offer more and better storage engines, MariaDB remains as one of the most popular databases within the tech space.
Microsoft SQL Server is a relational database management system that supports data transactions, business intelligence and analytics applications. As one of the three marketing-leading database technologies, Microsoft SQL Server offers increased security, reliability, data integrity, and high-speed data processing.
Oracle is an object-relational database management system known for its scalability, logical data structure, memory caching and partitioning. It is commonly used by global enterprises for running online transaction processing, data warehousing and mixed database workloads.
Snowflake is a cloud-based data warehouse system founded in 2012. It is a columnar-stored relational database and works well with Tableau, Excel and many other tools familiar to end-users. Snowflake automatically handles infrastructure, optimization, availability, data protection, and more, so you can focus on using your data, not managing it.
Amazon Redshift is a fully managed data warehousing service in the cloud. Designed for large scale data set storage and analysis, Redshift is used by some of the largest companies in the world including Ford Motor Company and Lyft. The data warehouse offers features such as flexibility, scalability, high performance, and efficient data compression.