Skip to main content

Fast Python bindings for the forestdb embedded database.

Project description

## forestdb-python

Fast Python bindings for [forestdb](, an embedded key-value storage engine developed by Couchbase. The main index structure is built from [Hierarchical B+-Tree based Trie]( (pdf).

> Compared with traditional B+-Tree based storage engines, ForestDB shows significantly better read and write performance with less storage overhead.

### ForestDB Features

  • Keys, values and metadata are treated as arbitrary binary data.

  • Values can be retrieved by key or by a unique integer sequence number.

  • Write-Ahead-Logging (WAL) and its in-memory index are used to reduce the main index lookup/update overhead.

  • Multi-Version Concurrency Control (MVCC) support and append-only storage layer.

  • Multiple snapshots can be created from a given ForestDB instance to provide different views of database over time.

  • Rollback is supported to revert the database to a point-in-time.

  • Ranged iteration by keys is supported for partial or full range lookup operation (cursors).

  • Transactional support with read committed or read uncommitted isolation.

  • Encryption (AES256)

### Python Binding Features

  • Written in Cython to give best performance.

  • Support for virtually all public APIs.

Project details

Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

forestdb-0.1.1.tar.gz (110.3 kB view hashes)

Uploaded source

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page