Tag - Fractal Tree

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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