by John.Schulz | May 22, 2014 | MySQL
Former AOL chief database architect, now independent database consultant, John Schulz guest blogs about his experience with basic MongoDB (from MongoDB, Inc.) and TokuMX™. If you’d like to speak with John about your own big data challenges you can contact him via...
by Dave Rosenlund | May 22, 2014 | MySQL
MongoDB includes several powerful features like high availability, read scaling, and horizontal scalability in an easy-to-use, schema-free database platform. But, what if you could retain those properties, improve performance, and ensure scalability without...
by Dave Rosenlund | May 20, 2014 | MySQL
If you’re reading this you may be a TokuMX user, or you’re thinking about using TokuMX. If the latter case applies, I bet you’re already using some form MongoDB today. Either way, you’ve probably heard about the MongoDB Innovation Awards announced in...
by Dave Rosenlund | May 16, 2014 | MySQL
Are you attending MongoDB World 2014? If so, I’d like to invite you to race ahead of the morning joggers by attending a breakfast meet-up where you’ll be able to discuss your big data challenges with database gurus: Mark Callaghan of Facebook (and the Small Datum...
by Dave Rosenlund | May 9, 2014 | MySQL
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”...
by Dave Rosenlund | May 7, 2014 | MySQL
NoSQL time-series applications built with MongoDB frequently need to remove expired or unwanted data. This is especially true in the world of big data. Sub-optimization in this area leads to unnecessary database growth and decreased performance. In addition, the Time...
by Dave Rosenlund | May 1, 2014 | MySQL
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...
by Dave Rosenlund | Apr 29, 2014 | MySQL
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. ——————- On March 11th, Mark, a former Google and now Facebook database guru,...
by Dave Rosenlund | Apr 17, 2014 | MySQL
As you scale, one of the challenges is optimizing your clusters and mitigating operational risk. Proper preparation can result in significant savings and reduced downtime. Register Now! SPEAKER: Jon Tobin, Tokutek and Vinay Joosery, Severalnines DATE: Thursday, April...
by Zardosht.Kasheff | Apr 15, 2014 | MySQL
As I’ve mentioned in previous posts, TokuMX replication differs quite a bit from MongoDB’s replication. The differences are large enough such that we’ve completely redone some of MongoDB’s existing algorithms. One such area is how secondaries apply oplog data from a...
by Zardosht.Kasheff | Apr 2, 2014 | MySQL
In a post last week, I described the difference in concurrency behavior between MongoDB’s oplog and TokuMX’s oplog. In short, here are the key differences: MongoDB protects access to the oplog with a database level reader/writer lock, whereas TokuMX does not. TokuMX...
by Zardosht.Kasheff | Mar 28, 2014 | MySQL
In my last post, I describe the differences between a TokuMX oplog entry and a MongoDB oplog entry. One reason why the entries are so different is that TokuMX supports multi-statement and multi-document transactions. In this post, I want to elaborate on why...
by Zardosht.Kasheff | Mar 26, 2014 | MySQL
by Zardosht.Kasheff | Mar 24, 2014 | MySQL
MongoDB replication has some great features. As I discussed in my last post, MongoDB’s crash safety design is very elegant. In addition to that, MongoDB has automatic failover, parallel slave replication, and prefetch threads on secondaries. The latter, as Mark...
by Zardosht.Kasheff | Mar 18, 2014 | MySQL
At an extremely high level, replication in MongoDB and MySQL are similar. Both databases have exactly one machine, the primary (or master), that accepts writes from clients. With a single transaction (or atomic operation, in MongoDB’s case), the tables and oplog (or...
by Leif.Walsh | Feb 25, 2014 | MySQL
We just released version 1.4.0 of TokuMX, our high-performance distribution of MongoDB. There are a lot of improvements in this version (release notes), the most of any release yet. In this series of blog posts, we describe the most interesting changes and how they’ll...
by Leif.Walsh | Feb 21, 2014 | MySQL
We just released version 1.4.0 of TokuMX, our high-performance distribution of MongoDB. There are a lot of improvements in this version (release notes), the most of any release yet. In this series of blog posts, we describe the most interesting changes and how they’ll...
by Leif.Walsh | Feb 20, 2014 | MySQL
We just released version 1.4.0 of TokuMX, our high-performance distribution of MongoDB. There are a lot of improvements in this version (release notes), the most of any release yet. In this series of blog posts, we describe the most interesting changes and how they’ll...
by Leif.Walsh | Feb 19, 2014 | MySQL
We just released version 1.4.0 of TokuMX, our high-performance distribution of MongoDB. There are a lot of improvements in this version (release notes), the most of any release yet. In this series of blog posts, we describe the most interesting changes and how they’ll...
by Leif.Walsh | Feb 18, 2014 | MySQL
We just released version 1.4.0 of TokuMX, our high-performance distribution of MongoDB. There are a lot of improvements in this version (release notes), the most of any release yet. In this series of blog posts, we describe the most interesting changes and how they’ll...
