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Why Percona Acquired Tokutek: by Peter Zaitsev

It is my pleasure to announce that Percona has acquired Tokutek and will take over development and support for TokuDB® and TokuMX™ as well as the revolutionary Fractal Tree® indexing technology that enables those products to deliver improved performance, reliability and compression for modern Big Data applications.
At Percona we have been working with the […]

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Increasing Cloud Database Efficiency – Like Crows in a Closet

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 struggle with idea of […]

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TokuDB Table Optimization Improvements

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 operate can be found in […]

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TokuDB Hot Backup Now a MySQL Plugin

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 Rober wrote a nice series […]

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A Tokutek Take on MongoDB v3.0

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 can be used to create […]

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TokuDB 7.5.5 is now available

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 pick indexes to optimize, optimize a percentage […]

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Mo’ Data, Mo’ Problems

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 was a no-brainer and, […]

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

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 mean. But if those applications were […]

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Announcing TokuMXse v1.0.0-rc.0

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 more about the performance benchmark; […]

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Fractal Tree Greatness: The Nexus

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 Cloud, Big Data or […]

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