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The Final Frontiers of ICE

By Don DeLoach • June 10, 2016

When Infobright was founded in 2005, a team of mathematicians from Warsaw, Poland created an innovative, columnar analytics engine designed for scale with data and queries.  By 2007, the big data market evolved to include many commercial open-source vendors that used community editions to help expand the overall user base and encourage communication from the market.  Infobright’s Community Edition (ICE) provided immediate analytic assistance for those on MySQL or other row-oriented databases, and it joined its commercial open-source cohorts to drive the big data market.

Naturally, markets adjusted, as did customer needs.  Many of the commercial open-source vendors either left the market or were incorporated into all-commercial vendors.  In addition, the licensing of many of those community editions prohibited expansion in the booming OEM market for many of the big data corporations.  Thus, the overall community market has stagnated; ICE was no exception.

For those reasons, Infobright will officially discontinue the release of our open-source Community Edition and the community forum effective June 30, 2016.  Instead, all engineering and support efforts will be dedicated to the expansion of Infobright’s core product Infobright Enterprise Edition (IEE) and the new, peta-scale analytics product Infobright Approximate Query (IAQ).

For existing ICE users, Infobright will store all ICE versions internally.  If you would like access to a particular ICE build, please contact us.  All forum support will conclude immediately, and the website will redirect to www.infobright.com on July 5, 2016.

What’s next?  Truly, Infobright’s ground-breaking IAQ analytic solution will change the paradigm of terabytes and petabytes of data in the landscape of the Internet of Things.  Today, to join multiple data sources with petabytes worth of data requires extreme resources.  IAQ delivers the same insight using 1-2% of typical hardware we’d have to use today.  Moreover, IAQ executes 100-500 times faster.  As for traditional IEE, great work will continue on IEE-PostgreSQL including multi-machine implementations, streaming support via IBStream, and improved function support.

We would love to hear from you.  Please contact us if you have any questions surrounding ICE, availability, next steps, or options to move to IEE or IAQ.  While we are saying goodbye to our past, we are certainly very excited about the present and future.

Sincerely,
Don DeLoach
President & CEO, Infobright

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