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Displaying posts with tag: big data (reset)
Two Cons against NoSQL. Part I.

Two cons against NoSQL data stores read like this: 1. It’s very hard to move data out from one NoSQL to some other system, even other NoSQL. There is a very hard lock in when it comes to NoSQL. If you ever have to move to another database, you have basically to re-implement a lot [...]

Webinar: MongoDB and Fractal Tree Indexes

This webinar covers the basics of B-trees and Fractal Tree Indexes, the benchmarks we’ve run so far, and the development road map going forward.

Date: November 13th
Time: 2 PM EST / 11 AM PST
REGISTER TODAY

Topics will include:

  • What is a Fractal Tree Index?
  • How to Fractal Trees compare with B-Trees
  • What can a Fractal Tree do for MongoDB performance
  • Benchmarks + Gotchas
  • What’s next

We look forward to having you join the webinar. We also hope that by sharing these results with the community we will be able to elicit people’s …

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On Eventual Consistency– Interview with Monty Widenius.

“For analytical things, eventual consistency is ok (as long as you can know after you have run them if they were consistent or not). For real world involving money or resources it’s not necessarily the case.” — Michael “Monty” Widenius. In a recent interview, I asked Justin Sheehy, Chief Technology Officer at Basho Technologies, maker [...]

Presenting “MongoDB and Fractal Tree Indexes” at MongoDB Boston 2012

I’ll be presenting “MongoDB and Fractal Tree Indexes” at MongoDB Boston 2012 on October 24th.  My presentation covers the basics of B-trees and Fractal Tree Indexes, the benchmarks we’ve run so far, and the development road map going forward.

I’ve been to this one day conference twice now and both times came away with a better understanding of MongoDB’s capabilities, use-cases, and many questions answered via their deep technical dives.  I highly recommend current MongoDB users and anyone considering a MongoDB project attend – it appears that seats are still available.

First of New NSF Big Data Grants Go to Tokutek Founders

The core technology behind Tokutek is based on the academic research by our founders: Michael Bender, Bradley Kuszmaul and Martin Farach-Colton.  They are all still in academia, in addition to their work at Tokutek.

Back in March, the White House kicked off a new Initiative for Big Data.  Last week, the National Science Foundation announced the first interagency grants for this.  Eight awards were given, and our own Michael Bender and Martin Farach-Colton, along with Robert Johnson of Stony Brook University, received one of them.

Through their academic work, they hope to extend our …

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Scaling MySQL and MariaDB to TBs: Interview with Martín Farach-Colton.

“While I believe that one size fits most, claims that RDBMS can no longer keep up with modern workloads come in from all directions. When people talk about performance of databases on large systems, the root cause of their concerns is often the performance of the underlying B-tree index”– Martín Farach-Colton. Scaling MySQL and MariaDB [...]

Log Buffer #289, A Carnival of the Vanities for DBAs

Oracle Open World 2012, this year, was all about Cloud, 12c, Exadata, Fusion, SuperClusters, social media, content management and much more. From operating systems to databases, and from applications to interactive media, professionals all around the world presented, attended, and networked in San Francisco. MySQL’S professionals also rocked massively. SQL Server bloggers also remained actively [...]

Forbes: “Tokutek Makes Big Data Dance”

Recently, our CEO, John Partridge had a chance to talk about novel database technologies for “Big Data” with Peter Cohan of Forbes.

According to the article, “Fractal Tree indexing is helping organizations analyze big data more efficiently due to its ability to improve database efficiency thanks to faster ‘database insertion speed, quicker input/output performance, operational agility, and data compression.’” As a start-up based on “the  first algorithm-based breakthrough in the database world in 40 years,” Toktuetek is following in the footsteps of firms such as Google and RSA, which also relied on novel algortithm advances as core to their technology.

To read the full article, and to see how Tokutek is helping companies tackle big data, see …

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Tips for Leveraging Oracle OpenWorld 2012 From Pythian Marketing

With Oracle OpenWorld just around the corner & MySQL Connect already underway I can’t believe yet another year has passed.  This is my third OOW and I must have a following as folks are already reaching out to me on twitter @pythiansimmons (log buffer lady seems to be a handle I can’t seem to shake). [...]

Announcing TokuDB v6.5: Optimized for Flash

We are excited to announce TokuDB® v6.5, the latest version of Tokutek’s flagship storage engine for MySQL and MariaDB.

This version offers optimization for Flash as well as more hot schema change operations for improved agility.

We’ll be posting more details about the new features and performance, so here’s an overview of what’s in store.

Flash
TokuDB v6.5 continues the great Toku-tradition of fast insertions. On flash drives, we show an order-of-magnitude (9x) faster insertion rate than InnoDB. TokuDB’s standard compression works just as well on flash and helps you get the most out of your storage system. And TokuDB reduces wear …
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