Storing time-series data is a frequent pattern for databases – be it for logs or for any kind of monitoring. Such data has the following properties: records are inserted but also never updated, the insertion rate can be high and records are likely to expire after some time. MongoDB and TokuMX are both good […]Read more
“There’s no benchmark for how life’s “supposed” to happen. There is no ideal world for you to wait around for. The world is always just what it is now, it’s up to you how you respond to it.”
― Isaac Marion, Warm Bodies
At one time or another, most of us have heard some version of […]
While our engineering team is working on finalizing the TokuMXse storage engine, I want to provide an experimental build that you can try and test MongoDB 3.0 with our storage engine.
It is available here
To start MongoDB with TokuMXse storage engine use:
I am looking for your feedback!Read more
Percona CEO Peter Zaitsev and Big Data guru Alexander Rubin will be speaking at Meetups along the East Coast next week with stops in Boston (May 11), New York City (May 12), Philadelphia (May 13) and Baltimore (May 14).
Dubbed the “MySQL Whistle-Stop Tour” since they’ll be traveling city to city via Amtrak, Peter will […]
An idea for a benchmark based on the “arrival request” rate that I wrote about in a post headlined “Introducing new type of benchmark” back in 2012 was implemented in Sysbench. However, Sysbench provides only a simple workload, so to be able to compare InnoDB with TokuDB, and later MongoDB with Percona TokuMX, I […]Read more