# Mnemonic

**Repository Path**: apache/mnemonic

## Basic Information

- **Project Name**: Mnemonic
- **Description**: Apache Mnemonic  是一个面向非易失性混合内存存储的库，它提出了一个非易失性/持久的 Java 对象模型和持久的计算服务，能显着提高了海量实时数据处理/分析的性能
- **Primary Language**: Java
- **License**: Apache-2.0
- **Default Branch**: master
- **Homepage**: None
- **GVP Project**: No

## Statistics

- **Stars**: 8
- **Forks**: 2
- **Created**: 2017-12-16
- **Last Updated**: 2025-10-01

## Categories & Tags

**Categories**: big-data

**Tags**: None

## README

<img src="https://mnemonic.apache.org/img/mnemonic_logo_v2.png" width=200 />

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## <a href="https://mnemonic.apache.org/" target="_blank">Mnemonic Official Website</a>

[![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