andrewts129 / swaydb

Embeddable persistent & in-memory database - www.SwayDB.io

SwayDB

Embeddable persistent and in-memory database. Resource efficiency, performance and easy data management with simple functional APIs.

See documentation - SwayDB.io (currently being updated for latest version).

Performance (old benchmark for v0.2 - #119)

Storage type	Performance
Persistent	up to 308,000 writes/sec & 316,000 reads/sec
In memory	up to 653,000 writes/sec & 628,000 reads/sec

View detailed benchmark results here.

Overview

• Java & Kotlin APIs.
• Single or multiple disks persistent, in-memory or periodically persistent.
• Simple data types - Map[K, V] & Set[T].
• Simple Stream based iteration following collections APIs.
• Atomic updates and inserts with transactions.
• Custom updates using JVM function.
• TTL - auto expiring key-values.
• Range update, remove & expire.
• Non-blocking with customisable non-blocking or blocking APIs.
• Key only iterations (Lazily fetched values).
• Configurable compression with LZ4 & Snappy
• Configurable core internals.
• Duplicate values can be eliminated with compressDuplicateValues.
• A small type-safe Actor implementation.
• IO type for type-safe error handling.

Read more.

Quick start

Quick start App.

Project status

Undergoing beta & performance testing. Backward binary compatibility is not yet a priority for minor releases unless it's requested.

Related GitHub projects

• SwayDB.java.examples - Java examples demonstrating features and APIs.
• SwayDB.kotlin.examples - Kotlin examples demonstrating features and APIs.
• SwayDB.scala.examples - Scala examples demonstrating features and APIs.
• SwayDB.benchmark - Benchmarks for write and read performance.
• SwayDB.stress - Stress tests.
• SwayDB.website - Website code.

Contribution

Contributions are welcomed following the Scala code of conduct.

Project support

Thank you Jetbrains for providing an open-source licence for their awesome development tools.