If you are considering Percona Server, you may also want to investigate similar alternatives or competitors to find the best solution. Other important factors to consider when researching alternatives to Percona Server include performance. The best overall Percona Server alternative is MariaDB. Other similar apps like Percona Server are MySQL, Google Cloud SQL, Oracle Database, and PostgreSQL. Percona Server alternatives can be found in Relational Databases but may also be in Database as a Service (DBaaS) Providers.
MariaDB is a high performance, open source database that helps the world's busiest websites deliver more content, faster.
MySQL is an open source database solution.
Cloud SQL is a fully managed, relational database service for running PostgreSQL, MySQL and SQL Server workloads. It's an ideal choice if you want to lift & shift an existing database or build a new application in the cloud.
PostgreSQL is a powerful, open source object-relational database system.
EnterpriseDB provides Postgres database solutions, products and services for the enterprise with expertise in performance optimization.
SQL Server 2017 brings the power of SQL Server to Windows, Linux and Docker containers for the first time ever, enabling developers to build intelligent applications using their preferred language and environment. Experience industry-leading performance, rest assured with innovative security features, transform your business with AI built-in, and deliver insights wherever your users are with mobile BI.
Amazon Aurora is a MySQL and PostgreSQL-compatible relational database engine that combines the speed and availability of high-end commercial databases with the simplicity and cost-effectiveness of open source databases.
Amazon Relational Database Service (RDS) is a web service that makes it easy to set up, operate, and scale a relational DB in the cloud: Amazon Aurora, PostgreSQL, MySQL, MariaDB, Oracle, and Microsoft SQL Server.
SAP HANA Cloud is the cloud-native data foundation of SAP Business Technology Platform, it stores, processes and analyzes data in real time at petabyte scale and converges multiple data types in a single system while managing it more efficiently with integrated multitier storage.