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 + 4GiB OS cache for TokuDB.

Important to note is that I used tokudb_fanout=128, which is only available in our latest Percona Server release.
I …

Today Percona announced the immediate availability of 24/7, enterprise-class support for MongoDB and TokuMX. The new support service helps organizations achieve maximum application performance without database bloat. Customers have round-the-clock access (365 days a year) to the most trusted team of database experts in the open source community.

The news means that Percona now offers support across the entire open-source database ecosystem, including the entire LAMP stack (Linux, Apache, MySQL, and PHP/Python/Perl), providing a single, expert, proven service provider for companies to turn to in good times (always best to be proactive) – and during emergencies, too.

Today’s support announcement follows …

Last week I wrote up my thoughts about the Percona acquisition of Tokutek from the perspective of TokuDB and TokuMX[se]. In this third blog of the trilogy I'll cover the acquisition and the future of the Fractal Tree Index. The Fractal Tree Index is the foundational technology upon which all Tokutek products are built.



 So what is a Fractal Tree Index? To quote the Wikipedia page:
"a Fractal Tree index is a tree data structure that keeps data sorted and allows searches and …

A few days ago I wrote up my thoughts about the Percona acquisition of Tokutek with respect to TokuDB. In this blog I'm going to do the same for TokuMX and TokuMXse. And in a few days I'll wrap up this trilogy by sharing my thoughts about Fractal Tree Indexes.

Again, when I'm writing up something that I was very involved with in the past I think it's important to disclose that I worked at Tokutek for 3.5 years (08/2011 - 01/2015) as VP/Engineering and I do not have any equity in Tokutek or Percona.

Since much of the MySQL crowd might be hearing about Tokutek's "other products" for the first time I'll provide a little history of both of the products before I dive in deeper.

TokuMX is a fork of MongoDB …

Two weeks ago Percona announced it's acquisition of Tokutek (April 14, 2015). The analyst coverage was a bit fluffy for my liking, but I decided to give it some time and see if anything "meaty" would come along, and ... it hasn't. The sheer number of tweets on Twitter was impressive, which makes me hopeful that the acquisition raised awareness to the Tokutek technologies and that the Tokutek products have a found a good home

I've been thinking a lot about the future of the Tokutek technologies over these same two weeks and want to share them publicly. I'm going to cover TokuDB in this blog post, TokuMX in a few days, and finally Fractal Tree Indexes a few days later. [Full disclosure: I worked at Tokutek for 3.5 years (08/2011 - 01/2015) as VP/Engineering and I do not have any equity in Tokutek or Percona]

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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 Tokutek team since 2009, helping to improve performance and scalability. The TokuDB storage engine has been available for Percona Server for about a year, so joining forces is quite a natural step for us.

Fractal Tree indexing technology—developed by years of data science research at MIT, Stony Brook University and Rutgers University—is the new generation data structure which, for many workloads, leapfrogs traditional B-tree technology which was invented in 1972 (over 40 years ago!).  It is also often …

If you haven’t already heard, on the Tuesday morning of the 2015 Percona Live MySQL Conference and Expo it was announced that Tokutek is now part of the Percona family.  This means TokuDB® for MySQL, and TokuMX™ for MongoDB are Percona products now; and that the Tokutek  team is now part of the Percona team.

Percona’s well-deserved reputation for unparalleled customer service and support in the MySQL market makes them the perfect home for Tokutek’s ground-breaking products.  And with the Tokutek acquisition, Percona can expand and extend their activities and offerings into the MongoDB market.

This is a win/win for NoSQL and MySQL fans alike.

More About Tokutek

Tokutek is the company that productized a new and revolutionary form of database indexing designed specifically for modern, Big Data applications.  Based on data science research on new methods for high-performance data …

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 Tokutek team since 2009, helping to improve performance and scalability. The TokuDB storage engine has been available for Percona Server for about a year, so joining forces is quite a natural step for us.

Fractal Tree indexing technology—developed by years of data science research at MIT, Stony Brook University and Rutgers University—is the new generation data structure which, for many workloads, leapfrogs traditional B-tree technology which was invented in 1972 (over 40 years ago!).  It is also often superior to LSM indexing, especially for mixed workloads.

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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 “problem trading.” Also, for some reason, databases are just given a pass as traditionally “noisy neighbors” and that there is nothing that can be done about it. Lets take a look at why we disagree.

With the birth of the information age came a coupling of business and IT. Increasingly strategic business projects and objectives were reliant on information infrastructure to provide information storage and retrieval instead of paper and filing cabinets. This was the dawn of the database and what gave rise to companies like Oracle, Sybase and MySQL. With the appearance of true Enterprise Grade …

The next release of MongoDB includes the ability to select a storage engine, the goal being that different storage engines will have different capabilities/advantages, and user's can select the one most beneficial to their particular use-case. Storage engines are cool. MySQL has offered them for quite a while. One very big difference between the MySQL and MongoDB implementations is that in MySQL the user gets to select a particular storage engine for each table, whereas in MongoDB it's a choice made at server startup. You get a single storage engine for everything on the particular mongod instance. I see pros and cons to each decision, but that's a blog for another day.

In MongoDB 3.0 …