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Showing entries 1 to 10 of 39 10 Older Entries

Displaying posts with tag: tokumx (reset)

TokuMX vs. PostgreSQL in EnterpriseDB's NoSQL Compression Benchmark
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Since this is my first blog I feel it's necessary to introduce myself. I'm Tim Callaghan, I work at Tokutek (makers of TokuDB and TokuMX), and I love benchmarking. While some of the content on this blog will certainly be about Tokutek technologies, I plan on exploring a wide variety of others as well. These are strictly my own personal views and opinions, and comments/feedback are always welcome. Lets get started...

A few weeks ago I …

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Puppet Module for ClusterControl - Adding Management and Monitoring to your Existing Database Clusters
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September 10, 2014 By Severalnines

If you are automating your infrastructure using Puppet, then this blog is for you. We are glad to announce the availability of a Puppet module for ClusterControl. For those using Chef, we already published Chef cookbooks for Galera Cluster and ClusterControl some time back.  

 

 

ClusterControl on Puppet Forge

 

The ClusterControl module initial release is available on …

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Big Data Integration & ETL - Moving Live Clickstream Data from MongoDB to Hadoop for Analytics
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June 16, 2014 By Severalnines

MongoDB is great at storing clickstream data, but using it to analyze millions of documents can be challenging. Hadoop provides a way of processing and analyzing data at large scale. Since it is a parallel system, workloads can be split on multiple nodes and computations on large datasets can be done in relatively short timeframes. MongoDB data can be moved into Hadoop using ETL tools like Talend or Pentaho Data Integration (Kettle).

 

In this blog, we’ll show you how to integrate your MongoDB and Hadoop datastores using Talend. We have a MongoDB database collecting …

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Best Practices for Partitioned Collections and Tables in TokuDB and TokuMX
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In my last post, I gave a technical explanation of the performance characteristics of partitioned collections in TokuMX 1.5 (which is right around the corner) and partitioned tables in relational …

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Understanding the Performance Characteristics of Partitioned Collections
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In TokuMX 1.5 that is right around the corner, the big feature will be partitioned collections. This feature is similar to partitioned tables in Oracle, MySQL, SQL Server, and Postgres. A question many have is “why should I use partitioned tables?” In short, it’s complicated. The answer depends on your workload, your schema, and your database of choice. For example, this …

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Webinar Replay, Slides & Q&A: Introducing ClusterControl 1.2.6 - Managing your MySQL, MariaDB & MongoDB Clusters
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May 19, 2014 By Severalnines

 

Thanks to everyone who attended and participated last week’s joint webinar on ClusterControl 1.2.6! We had great questions from participants (thank you), most of which are transcribed below with our answers to them.

 

If you missed the sessions or would like to watch the webinar again & browse through the slides, they are now available online.

 

Webinar topics discussed: 

  • Database …
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Thoughts on Small Datum – Part 3
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Background: If you did not read my first blog post about why I am sharing my thoughts on the benchmarks published by Mark Callaghan on Small Datum you may want to skim through it now for a little context:Thoughts on Small Datum – Part 1”

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Last time, in Thoughts on Small Datum – Part 2 I shared my cliff notes and a graph on Mark …

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New Release Webinar on May 13th: Introducing ClusterControl 1.2.6 - Live Demo
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May 7, 2014 By Severalnines

 

Following the release of ClusterControl 1.2.6 a couple of weeks ago, we are now looking forward to demonstrating this latest version of the product on Tuesday next week, May 13th.

 

This release contains key new features (along with performance improvements and bug fixes), which we will be demonstrating live during the webinar.  …

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Maybe You Should Try Taking a Walk in My Shoes
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The title of this post should really be, “Maybe He Should Try Taking a Walk in Your Shoes.”

The he I’m referring to is economist and author, Tim Harford. The you is the people who use NewSQL and NoSQL approaches to mine big data with database platforms like MySQL and MongoDB (or, preferably, our high-performance distributions of them, …

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Thoughts on Small Datum – Part 2
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If you did not read my first blog post about Mark Callaghan’s (@markcallaghan) benchmarks as documented in his blog, Small Datum, you may want to skim through it now for a little context.

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On March 11th, Mark, a former Google and now Facebook database guru, published an insertion rate benchmark comparing MySQL outfitted with the …

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Showing entries 1 to 10 of 39 10 Older Entries

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