Tag - tokumx

Migrate from TokuMX to Percona Server for MongoDB

Percona no longer develops or supports TokuMX software. The product has been EoL’d. We recommend TokuMX users migrate to Percona Server for MongoDB.
This blog post details how to migrate from TokuMX to Percona Server for MongoDB.
As part of our ongoing plans to embrace the MongoDB community, we have increased support and software around MongoDB. Percona’s […]

Read more

Embracing MongoRocks

This blog post discusses Percona’s future plans for TokuMX, PerconaFT, and MongoRocks for MongoDB 3.2 and later releases.
At Percona, we focus on providing the best solution for our customers, rather than falling into “big ego,” “not invented here” or “sunk cost fallacy” messages. We have limited engineering resources and want to concentrate on the things […]

Read more

Find unused indexes on MongoDB and TokuMX

Finding and removing unused indexes is a pretty common technique to improve overall performance of relational databases. Less indexes means faster insert and updates but also less disk space used. The usual way to do it is to log all queries’ execution plans and then get a list of those indexes that are not […]

Read more

The language of compression

Leif Walsh will talk about the language of compression at Percona Live Amsterdam
Storage. Everyone needs it. Whether your data is in MySQL, a NoSQL, or somewhere in the cloud, with ever-growing data volumes – along with the need for SSDs to cut latency and replication to provide insurance – an organization’s storage footprint is […]

Read more

Checkpoint strikes back

In my recent benchmarks for MongoDB, we can see that the two engines WiredTiger and TokuMX struggle from periodical drops in throughput, which is clearly related to a checkpoint interval – and therefore I correspond it to a checkpoint activity.
The funny thing is that I thought we solved checkpointing issues in InnoDB once and […]

Read more

Tokutek now part of the Percona family

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 […]

Read more

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 […]

Read more

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 […]

Read more

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 […]

Read more

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; […]

Read more