blob: 26f6cd9638a64bd840579ab2a14c6c7f43dcb0bd [file] [log] [blame] [view]
<img src="https://mnemonic.apache.org/img/mnemonic_logo_v2.png" width=200 />
================================
## <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