Tag - Big Data

Managing big data? Say ‘hello’ to HP Vertica

Over the past few months, I’ve seen an increase in the following use case while working on performance and schema review engagements:
I need to store exponentially increasing amounts of data and analyze all of it in real-time.
This is also known simply as: “We have big data.” Typically, this data is used for user interaction […]

Read more

New TokuMX Meetup Groups Formed

Tokutek is pleased to announce the formation of two new TokuMX Bay Area Meetup Groups, as well as each group’s inaugural meet up event. These groups are for anyone who’s interested in delivering high-performance big data applications built with the world’s most popular NoSQL solution, MongoDB.
Join Tokutek team members, including key members of our […]

Read more

TokuMX Compression & Performance Innovation Awards @ MongoDB World 2014

Today, at MongoDB World 2014 in New York City, we announced the winners of our inaugural TokuMX Compression & Performance Innovation Award. We selected two winners from amongst the nominees – Brightcove and Crowdtap. The announcement was made at the TokuMX Scale-up & Slim-down breakfast meet-up.
This morning’s meet-up featured special guests Mark Callaghan of […]

Read more

TokuMX @ MongoDB World 2014

On Monday, some of the Boston-area Tokutek team will board New York bound trains to join our Union Square colleagues at MongoDB World 2014. We couldn’t be more excited.
You would be too. TokuMX, our high-performance distribution of MongoDB, just had its first birthday. The rapid acceptance by the MongoDB community has surpassed even our […]

Read more

June 11 Webinar: Comparing MongoDB and TokuMX Replication

MongoDB replication has a lot of great features including crash safety, automatic failover and parallel slave replication. Although MongoDB’s replication is impressive in many ways, TokuMX™ replication internals are purposely designed differently.
Register Now!
SPEAKER: Zardosht Kasheff, Sr. Engineer
DATE: Wednesday, June 11th
TIME: 1pm EDT/10am PDT
TokuMX is built on Fractal Tree® technology, unlike MongoDB’s B-tree structure. While […]

Read more

MongoDB World “Scale Up & Slim Down with TokuMX” Breakfast Meet-up

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 blog)
Kenny Gorman of ObjectRocket by Rackspace
Charity Majors of Parse […]

Read more

Thoughts on Small Datum – Part 3

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”
~~~~~~~~~~~~~~~~~~~~~~~~
Last time, in “Thoughts on Small Datum – Part […]

Read more

Maybe You Should Try Taking a Walk in My Shoes

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 […]

Read more

Thoughts on Small Datum – Part 2

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, published an insertion rate benchmark comparing MySQL outfitted with the […]

Read more

Thoughts on Small Datum – Part 1

A little background…
When I ventured into sales and marketing (I’m an engineer by education) I learned I would often have to interpret and simply summarize the business value that is sometimes hidden in benchmarks. Simply put, the people who approve the purchase of products like TokuDB® and TokuMX™ appreciate the executive summary.
Therefore, I plan to […]

Read more