Research alternative solutions to SQLite on G2, with real user reviews on competing tools. Other important factors to consider when researching alternatives to SQLite include ease of use and reliability. The best overall SQLite alternative is Microsoft SQL Server. Other similar apps like SQLite are MySQL, Amazon Relational Database Service (RDS), Oracle Database, and PostgreSQL. SQLite alternatives can be found in Relational Databases but may also be in Database as a Service (DBaaS) Providers or Desktop Database Software.
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 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.
Helps customers lower IT costs and deliver a higher quality of service by enabling consolidation onto database clouds.
PostgreSQL is a powerful, open source object-relational database system.
Firebird is a relational database offering many ANSI SQL standard features that runs on Linux, Windows, and a variety of Unix platforms.
Base is a full-featured desktop database front end, designed to meet the needs of a broad array of users. Base caters to power users and enterprise requirements, providing native-support drivers for some of the most widely employed multi-user database engines: MySQL/MariaDB, Adabas D, MS Access and PostgreSQL. In addition, the built-in support for JDBC- and ODBC-standard drivers allows you to connect to virtually any other existing database engine as well.
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.