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io.swaydb:compression_2.13
Advanced tools
Embeddable persistent and in-memory key-value storage engine aimed for high performance & resource efficiency.
Manage data by creating familiar data structures like Map
, Set
, Queue
MultiMap
, SetMap
that can easily be converted
to native Java and Scala collections.
Perform conditional updates/data modifications with any Java, Scala, Kotlin or any native JVM code - No query language.
Scalable on a single machine - Data can be stored on multiple local HDD/SSD and, single or multiple Threads can be allocated for reads, caching & compaction.
SwayDB's core is non-blocking, but the APIs are configurable to be blocking, non-blocking and/or reactive.
Highly configurable to suit different workloads. Some use-cases are:
See comparable benchmarks with RocksDB or QuickStart in Java, Scala or Kotlin.
Documentation | License summary | Project status
Storage type | Performance |
---|---|
Persistent | up to 863,000 reads/sec & 482,000 writes/sec |
Memory | TODO |
Map
, Set
, Queue
, SetMap
& MultiMap
.Your feedback and review is very important to get to production. Please get involved via chat, issues or email which is on my profile.
See tasks labelled Production release that are required before becoming production ready.
Contributions are welcomed following the Scala code of conduct.
We would like to see others find SwayDB useful in their own projects, companies and other open-source projects for both personal and commercial reasons, the license only asks for your modifications (e.g bug-fixes) to SwayDB's source code to be shared so that it supports the contributors by not duplicating efforts and shares knowledge on this project's subject.
The language in the LICENSE file follows GNU's FAQ.
Thank you Jetbrains for providing an open-source licence for their awesome development tools.
FAQs
compression
We found that io.swaydb:compression_2.13 demonstrated a not healthy version release cadence and project activity because the last version was released a year ago. It has 0 open source maintainers collaborating on the project.
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