Big Sack is a Java persistence mechanism that allows storage of key value pairs following the popular Big Data paradigms. Its a very simple and straightforward way to bridge the gap between in-memory data structures and long-term storage. It has the convenience of Java SDK TreeMap and TreeSet classes and is used the same easy way, but it includes rollback through undo logging to checkpoint data so it does not wind up in an unknown state regardless of failures. Data storage in the exabyte range is possible using filesystem and/or memory-mapped IO. Three levels of configurable write-through caching at different granularities ensure performance.

Features

  • Java persistence mechanism that provides TreeSet and TreeMap functionality
  • Small footprint and exabyte object serialization capability
  • Undo logging
  • Tunable cache
  • Paged BTree index
  • Fully thread safe

Project Activity

See All Activity >

License

BSD License

Follow Big Sack

Big Sack Web Site

Other Useful Business Software
Gen AI apps are built with MongoDB Atlas Icon
Gen AI apps are built with MongoDB Atlas

The database for AI-powered applications.

MongoDB Atlas is the developer-friendly database used to build, scale, and run gen AI and LLM-powered apps—without needing a separate vector database. Atlas offers built-in vector search, global availability across 115+ regions, and flexible document modeling. Start building AI apps faster, all in one place.
Start Free
Rate This Project
Login To Rate This Project

User Reviews

Be the first to post a review of Big Sack!

Additional Project Details

Languages

English

Intended Audience

Developers

Programming Language

Java

Related Categories

Java Database Software, Java Software Development Software, Java Big Data Tool

Registered

2003-05-20