Tag - Fractal Tree

InnoDB vs TokuDB in LinkBench benchmark

Previously I tested Tokutek’s Fractal Trees (TokuMX & TokuMXse) as MongoDB storage engines – today let’s look into the MySQL area.
I am going to use modified LinkBench in a heavy IO-load.
I compared InnoDB without compression, InnoDB with 8k compression, TokuDB with quicklz compression.
Uncompressed datasize is 115GiB, and cachesize is 12GiB for InnoDB and 8GiB […]

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Fractal Tree library as a Key-Value store

As you may know, Tokutek is now part of Percona and I would like to explain some internals of TokuDB and TokuMX – what performance benefits they bring, along with further optimizations we are working on.
However, before going into deep details, I feel it is needed to explain the fundamentals of Key-Value store, and […]

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Percona Live & OpenStack Live 2015 wrap-up

Peter Zaitsev kicks off Percona Live 2015
With highlights that included news of Percona’s acquisition of Tokutek, a lively keynote discussion with Apple legend Steve “Woz” Wozniak, scores of technical sessions, tutorials and a festive MySQL community dinner and game night, last week’s Percona Live MySQL Conference and Expo had something for everyone.
More than 1,200 […]

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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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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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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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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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