Berkeley DB

Berkeley DB

Berkeley DB is an open source embedded database engine that provides scalable high-performance data management services to applications. It supports replication, transactions, concurrent access, and recovery with ACID semantics.
Berkeley DB screenshot

Berkeley DB: Open Source Embedded Database Engine

Berkeley DB is an open source embedded database engine that provides scalable high-performance data management services to applications. It supports replication, transactions, concurrent access, and recovery with ACID semantics.

What is Berkeley DB?

Berkeley DB is an open source embedded database engine that provides scalable high-performance data management services to applications. It supports key-value data model and can be used as an embedded database, in-memory database, XML database, or for simple data storage scenarios.

Some key features of Berkeley DB include:

  • Supports replication and high availability
  • ACID compliant transactional database with commit, rollback, and recovery capabilities
  • Concurrent access allowing high volume read/write performance
  • Supports indexes, cursors and sorted duplicates for range queries
  • Out-of-the box encryption and access controls
  • Small footprint suitable for embedding in applications
  • Cross-platform support for Linux, Windows, macOS etc.

Berkeley DB originated in the early 90s from research at UC Berkeley focused on building a fast, scalable, transactional database engine. Over the years it has seen widespread industry adoption and isembedded in many commercial and open source systems and applications.

Berkeley DB Features

Features

  1. Key-value store
  2. Scalable
  3. High performance
  4. ACID compliant
  5. Replication and failover
  6. Transactions
  7. Concurrent access
  8. Recovery
  9. Embedded database engine

Pricing

  • Open Source

Pros

High performance and scalability

Reliability and data integrity

Flexible API

Cross platform

Mature and stable codebase

Open source

Cons

Complex API

Steep learning curve

Not ideal for ad-hoc queries

Limited ecosystem compared to other databases

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