Open-Source DBMS

Context:
- It can (often) provide features such as data storage, retrieval, update, and administrative functions without licensing costs.
- It can foster community-driven development and innovation, leveraging contributions from developers worldwide.
- It can support multiple programming languages and platforms, offering APIs and tools for efficient database management.
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Example(s):
- a PostgreSQL instance that demonstrates transaction processing and complex query capabilities,
- a MongoDB setup showcasing document-oriented storage and retrieval suitable for dynamic schemas and agile development.
- an Open-Source Vector DBMS, such as Chroma DBMS.
- an Open-Source Relational Database.
- an Open-Source NoSQL Database.
- an Open-Source NewSQL Database.
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Counter-Example(s):
- Proprietary Software Systems like Oracle Database, which require licensing fees and do not provide the source code to users,
- Closed-Source DBMS that restrict modification, distribution, or review of the underlying source code,
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See: Database Management System, Relational Database, NoSQL Database, NewSQL Database.