https://github.com/apache/mnemonic

Apache Mnemonic - A non-volatile hybrid memory storage oriented library
https://github.com/apache/mnemonic

apache apache-mnemonic bigdata java memory non-volatile

Last synced: about 1 month ago
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Apache Mnemonic - A non-volatile hybrid memory storage oriented library

• Host: GitHub
• URL: https://github.com/apache/mnemonic
• Owner: apache
• License: apache-2.0
• Created: 2016-03-29T07:00:06.000Z (about 9 years ago)
• Default Branch: master
• Last Pushed: 2025-02-22T18:43:38.000Z (3 months ago)
• Last Synced: 2025-04-03T04:17:04.751Z (about 2 months ago)
• Topics: apache, apache-mnemonic, bigdata, java, memory, non-volatile
• Language: Java
• Homepage: https://mnemonic.apache.org
• Size: 3.09 MB
• Stars: 120
• Watchers: 25
• Forks: 63
• Open Issues: 8
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

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## Mnemonic Official Website

[![CI](https://github.com/apache/mnemonic/workflows/build%20in%20container/badge.svg)](https://github.com/apache/mnemonic/actions?query=workflow%3Abuild%20in%20container)

Apache Mnemonic is a non-volatile hybrid memory storage oriented library, it proposed a non-volatile/durable Java object model and durable computing service that bring several advantages to significantly improve the performance of massive real-time data processing/analytics. developers are able to use this library to design their cache-less and SerDe-less high performance applications.

### Features:

* In-place data storage on local non-volatile memory

* Durable Object Model (DOM)

* Durable Native Computing Model (DNCM)

* Object graphs lazy loading & sharing

* Auto-reclaim memory resources and Mnemonic objects

* Hierarchical cache pool for massive data caching

* Extensible memory services for new device adoption and allocation optimization

* Durable data structure collection(WIP)

* Durable computing service

* Minimize memory footprint of on-heap

* Reduce GC Overheads as the following chart shown (collected from Apache Spark experiments)

* Drop-in Hadoop MapReduce support

* Drop-in Hadoop Spark support