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Open Source Databases
Open source databases have publicly available source code that anyone can view, study, or modify. They can be relational (SQL) or non-relational (NoSQL), and they significantly reduce database costs compared to proprietary solutions.
Why Use Open Source Databases?
Database licensing is a major software expense for companies. Open source databases offer a cost-effective alternative − free to use, with community support, and no vendor lock-in. Many also offer commercial support tiers for enterprise needs.
Popular Open Source Databases
| Database | Type | Key Feature |
|---|---|---|
| MySQL | Relational (SQL) | Most widely used open source DB; community edition free, acquired by Oracle |
| MariaDB | Relational (SQL) | MySQL fork, fully free; compatible with MySQL APIs and commands |
| PostgreSQL | Object-Relational (SQL) | More robust than MySQL; known for reliability and data integrity |
| PostgresPURE | Object-Relational (SQL) | Built on PostgreSQL with extra functionality; subscription-based |
| EnterpriseDB | Object-Relational (SQL) | PostgreSQL-based with enterprise features (performance, security tools) |
| MongoDB | Document (NoSQL) | JSON-like documents; document validation, encrypted storage |
| Redis | Key-Value (NoSQL) | In-memory data store; extremely fast for caching and sessions |
| Cassandra | Column-Family (NoSQL) | Highly scalable; designed for high write throughput |
Conclusion
Open source databases provide cost-effective, flexible alternatives to proprietary systems. Choose MySQL/MariaDB for web applications, PostgreSQL for data integrity and complex queries, and MongoDB/Redis/Cassandra for NoSQL use cases requiring scalability and flexible schemas.
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