Tag - Fractal Tree® Indexing

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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Fractal Tree Indexing and Filesystems – HotStorage 2012

Modern file systems are well equipped to deal with large writes. One area that remains challenging however is to efficiently write out “microdata”, such as metadata and small portions of large files, while showing good I/O utilization when the data is read back. This challenge is evident with mount options like “noatime” which disables […]

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Basement Nodes: Turning Big Writes into Small Reads

Executive Summary
Fast indexing requires the leaves of a Fractal Tree® Index to be big. But some queries require the leaves to be small in order to get any reasonable performance. Basements nodes are our way to achieve these conflicting goals, and here I’ll explain how.
Big Leaves
On many occasions, we at Tokutek have pointed out […]

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