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How we built TokuMX

When I get to talk to people about TokuMX and how it’s an optimized MongoDB, I sometimes get follow-up questions like: “Is it an in-memory proxy?” “Write optimized? So you buffer all of the writes in memory and lose them on crash?” “Did...

September 26 Webinar: Getting Started with MongoDB

Save Time & Money – Do It Right The First Time SPEAKER: Tim Callaghan, VP Engineering, Tokutek DATE: Thursday, September 26th TIME: 1pm ET If you are thinking of using the leading NoSQL database in a project, learn just how easy it is to get started with...

TokuMX Hot Backup – Part 3

Last week I described TokuDB’s new Hot Backup feature.  This week we are going to briefly discuss the same feature, but as it was added to TokuMX, our version of MongoDB. Since the Hot Backup library is essentially a shim between MySQL and the Linux kernel,...

TokuMX vs. MongoDB : In-Memory Sysbench Performance

In talking to existing MongoDB users and TokuMX evaluators, I’ve often heard that the performance of MongoDB is very good as long as your working data set fits in RAM. The story continues that if your working data set grows to be larger than the RAM on your...

Announcing TokuMX v1.2: Hot Backup

We’ve been hard at work on TokuMX since it’s initial release just over 2 months ago. Today we released TokuMX v1.2 which includes Hot Backup in the Enterprise Edition. Hot Backup allows users to create a backup of a running TokuMX primary or secondary...

TokuMX tip: Create any field name you want

A common MongoDB tip is to create short field names to save storage space. Because MongoDB does not compress its data on disk and stores field names in each document, using longer field names leads to bigger documents which leads to more storage space usage. The...

Building TokuMX and TokuDB for Production

Recently, we’ve seen a few people ask us about building TokuMX from scratch. While it’s best if you just use the binaries you can get from us (they have all the right optimizations, we’ve tested them, and we can interpret coredumps they generate), we...

TokuMX 1.0.3: Seamless Migrations from MongoDB

Since we released TokuMX, one of the most frequent requests has been for a migration tool. TokuMX has a completely different storage format than MongoDB, which means that you have to actually move all of your data out of MongoDB and into TokuMX, you can’t just...

Comparing MongoDB, MySQL, and TokuMX Data Layout

A lot is said about the differences in the data between MySQL and MongoDB. Things such as “MongoDB is document based”, “MySQL is relational”, “InnoDB has a clustering key”, etc.. Some may wonder how TokuDB, our MySQL storage engine, and TokuMX, our MongoDB product,...

How TokuMX Gets Great Compression for MongoDB

In my last post, I showed what a Fractal Tree® index is at a high level. Once again, the Fractal Tree index is the data structure inside TokuMX and TokuDB, our MongoDB and MySQL products. One of its strengths is the ability to get high levels of compression on the...

TokuMX Fractal Tree(R) indexes, what are they?

With our recent release of TokuMX 1.0, we’ve made some bold claims about how fast TokuMX can run MongoDB workloads. In this post, I want to dig into one of the big areas of improvement, write performance and reduced I/O. One of the innovations of TokuMX is that it...

TokuMX is MongoDB on steroids

I am actually quite excited about Tokutek’s release of TokuMX. I think it is going to change the landscape of database systems and it is finally something that made me looking into NoSQL. Why is TokuMX interesting? A few reasons: It comes with transactions, and...

iiBench Benchmark: TokuMX vs. MongoDB

Tokutek created the iiBench benchmark back in 2008. The point of the benchmark is to measure the performance of indexed insertions over time. It uses an extremely simple schema, one table with a sequential insertion pattern for the primary key along with three integer...

TokuMX: Fractal Trees with MongoDB

Over several blog posts, Tim has presented performance results on large data sets of TokuMX, our MongoDB product with fractal tree indexes integrated, side by side with MongoDB. Results look good. We’ve shown improved throughput numbers on a sysbench benchmark,...