Optimized Data Environment for Networks - Multi-Core

ODEN-M technology optimizes data storage and network efficiency through data compression and network acceleration techniques to reduce network costs and data latency. 

​​​​​ODEN-M is a powerful data compression technology that offers significant space savings and compression ratios across all file formats and data types, including very unique compression capabilities for highly compressed file formats.  The massive parallel processor compression engine utilizes all available cores to optimize compression time.  This technology implements seamlessly and can be hosted on Field Programmable Gate Arrays (FPGA), allowing native device embedment.


ODEN-M supports compression of all computerized data and optimized for uncompressed, native file formats (e.g. DOC, PDF, TXT, . . . ).  A 3rd party evaluation of this technology found superior compression performance and speed compared to GZIP and BZIP2.

ODEN-M software is installed at endpoints with direct access to storage repositories.  The compression algorithm provides single pass compression.  Data is verified by micro-block as stored, and re-verified by macro-blocks.


This technology achieves compression ratios of 3.62:1 to 1002.16:1, depending on file type, offering dramatic improvement in data storage savings.  This capability especially benefits data storage providers with a low cost, efficient process to quickly compress large data files for deep, glacier storage.

ODEN-M is a cold storage technology solution capable of supporting all object storage use cases today.   ODEN-M data compression can be used in conjunction with MAGNUS to further increase SATCOM network efficiency.

3rd Party evaluations and technical documentation are available upon request.  Some of the technical information can be found in this site Library.

ODEN-M Compression Test Results

On Point Cyber is a TIMMES, Inc. authorized U.S. distributor of ODEN-M


Contact On Point Cyber for additional information.

Copyright © 2020 On Point Cyber, Inc

All Rights Reserved