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Increasing Cloud Database Efficiency – Like Crows in a Closet

Posted On February 25, 2015 | By Jon Tobin | 1 comments

In Mo’ Data, Mo’ Problems, we explored the paradox that “Big Data” projects pose to organizations and how Tokutek is taking an innovative approach to solving those problems. In this post, we’re going to talk about another hot topic in IT, “The Cloud,” and how enterprises undertaking Cloud efforts often…

TokuDB Table Optimization Improvements

Posted On February 11, 2015 | By Joe Laflamme | 0 comments

Section I: Fractal Tree and Optimization Overview Tokutek’s Fractal Tree® technology provides fast performance by injecting small messages into buffers inside the Fractal Tree index. This allows writes to be batched, thus eliminating I/O that is required in traditional B-tree indexes for every operation. Additional background information on how Fractal Trees…

TokuDB Hot Backup Now a MySQL Plugin

Posted On February 5, 2015 | By Rich Prohaska | 4 comments

In the recently released TokuDB 7.5.5 the implementation of TokuDB hot-backup moved from a patch to the MySQL Server, to MySQL Plugin.  Why did we make this change? TokuDB hot backup makes a transactionally consistent copy of the TokuDB files while applications continue to read and write these files.  Christian…

A Tokutek Take on MongoDB v3.0

Posted On February 4, 2015 | By Dave Rosenlund | 5 comments

On February 3rd MongoDB, Inc. formally announced MongoDB v3.0 (the product release formerly known as v2.8).  It includes a number of important enhancements, some of them of particular interest to users of the Tokutek distribution of MongoDB, TokuMX, or anyone thinking about using TokuMX. Most notably, MongoDB v3 includes a storage engine API that…

TokuDB 7.5.5 is now available

Posted On January 29, 2015 | By Rich Prohaska | 0 comments

Tokutek is pleased to announce the general availability of TokuDB 7.5.5. The notable changes since TokuDB 7.5.3 are: Rebased onto MySQL 5.5.41 and MariaDB 5.5.41 to integrate the latest changes Improved TokuDB lock timeout logging Added several optimize table options for TokuDB tables including the ability to throttle the optimize operation, selectively…

Mo’ Data, Mo’ Problems

Posted On January 22, 2015 | By Jon Tobin | 2 comments

Welcome to blog #2 in a series about the benefits of the Fractal Tree. In this post, I’ll be explaining Big Data, why it poses such a problem and how Tokutek can help. Given the fact that I am a lifelong fan of both Hip-hop and Big Data, the title…

The MongoDB Speed-up & Slim-down Big Data Challenge

Posted On January 22, 2015 | By Dave Rosenlund | 1 comments

Receive 20 FREE hours of MongoDB® consulting services if TokuMX does not improve your MongoDB application performance by at least 2x and/or reduce the size of your MongoDB database by 50% or more.  Like A Finely Tuned Rally Car Like a finely tuned rally car, your big data applications need to run lean and…

Announcing TokuMXse v1.0.0-rc.0

Posted On January 19, 2015 | By Leif Walsh | 3 comments

UPDATE: Since the publication of this blog post, Tokutek subsequently published preliminary performance benchmark results for TokuMXse. In addition, we have recently released the fourth release candidate of TokuMXse for testing.  Also, since this post was written, MongoDB has decided to call the new release of MongoDB v3.0 (formerly known as v2.8). Learn…

Fractal Tree Greatness: The Nexus

Posted On January 15, 2015 | By Jon Tobin | 0 comments

In my recent travels, I've been speaking with database users at various meetups and trade shows worldwide. Very often, I got questions centering around the best use cases for our products, be it TokuDB, our MySQL storage engine, or, TokuMX, our distribution of MongoDB. Over 90% of the time, I responded…

First TokuMXse performance numbers

Posted On January 12, 2015 | By Tim Callaghan | 2 comments

UPDATE: Since the publication of this blog post, the first release candidate of TokuMXse was made available for testing. Learn more about v1.0.0.RC.0. In addition, MongoDB has decided to call the release formerly known as v2.8, v3.0. We've been working on TokuMXse for quite some time now. TokuMXse is the MongoDB 2.8 storage…