Channels ▼
RSS

Parallel

Pervasive Software Announces Pervasive TurboRush for Hive


Announced this week, TurboRush for Hive is Pervasive Software's latest play in its efforts to try and make Hadoop-driven Hive data warehouse infrastructure queries run faster on less hardware.

As Pervasive now opens up its early access program, TurboRush for Hive is the first in a series of "big data accelerators" currently being developed on the company's parallel processing multicore processor-aligned DataRush platform.

"Hive is the data warehouse system built on top of Hadoop," said Ray Newmark, vice president of sales and marketing for Pervasive DataRush. "Pervasive TurboRush for Hive accelerates Hive by using the Pervasive DataRush dataflow engine on the back end, providing faster execution of Hive programs without needing to modify any code. It also provides the power of Pervasive DataRush parallelism to the full spectrum of SQL and Hive developers."

The company says that its engineers and early access users have seen Hive acceleration of between two to four times using the Pervasive TurboRush accelerator. Pervasive now intends to extend this model to deliver out-of-the-box accelerators for other languages and frameworks as well.

"I am seeing more and more organizations turn to the Hadoop ecosystem to see what kind of practical strategies they can adopt for processing big data," said David S. Linthicum, CTO of Blue Mountain Labs, and an internationally known cloud computing and SOA expert. "This is a promising offer to deliver enterprise-scale performance for Hive developers tackling big data challenges."

There will also be a community edition of Pervasive DataRush for Hadoop in the coming weeks.


Related Reading


More Insights






Currently we allow the following HTML tags in comments:

Single tags

These tags can be used alone and don't need an ending tag.

<br> Defines a single line break

<hr> Defines a horizontal line

Matching tags

These require an ending tag - e.g. <i>italic text</i>

<a> Defines an anchor

<b> Defines bold text

<big> Defines big text

<blockquote> Defines a long quotation

<caption> Defines a table caption

<cite> Defines a citation

<code> Defines computer code text

<em> Defines emphasized text

<fieldset> Defines a border around elements in a form

<h1> This is heading 1

<h2> This is heading 2

<h3> This is heading 3

<h4> This is heading 4

<h5> This is heading 5

<h6> This is heading 6

<i> Defines italic text

<p> Defines a paragraph

<pre> Defines preformatted text

<q> Defines a short quotation

<samp> Defines sample computer code text

<small> Defines small text

<span> Defines a section in a document

<s> Defines strikethrough text

<strike> Defines strikethrough text

<strong> Defines strong text

<sub> Defines subscripted text

<sup> Defines superscripted text

<u> Defines underlined text

Dr. Dobb's encourages readers to engage in spirited, healthy debate, including taking us to task. However, Dr. Dobb's moderates all comments posted to our site, and reserves the right to modify or remove any content that it determines to be derogatory, offensive, inflammatory, vulgar, irrelevant/off-topic, racist or obvious marketing or spam. Dr. Dobb's further reserves the right to disable the profile of any commenter participating in said activities.

 
Disqus Tips To upload an avatar photo, first complete your Disqus profile. | View the list of supported HTML tags you can use to style comments. | Please read our commenting policy.
 

Video