Welcome!

Java IoT Authors: Zakia Bouachraoui, Pat Romanski, Elizabeth White, Liz McMillan, Yeshim Deniz

News Feed Item

RainStor Announces First Enterprise Database Running Natively on Hadoop for Faster Analytics at Lower Operating Cost

Combines Industry-Leading Data Compression With SQL Query and MapReduce Access to Multi-Structured Data

SAN FRANCISCO, CA -- (Marketwire) -- 01/18/12 -- RainStor, a provider of Big Data management software, today announced RainStor Big Data Analytics on Hadoop. The first enterprise database running natively on Hadoop, RainStor enables faster, more flexible analytics on multi-structured data, without the need to move data out of the Hadoop Distributed File System (HDFS) environment.

Building on RainStor's patented database technology and proven expertise managing complex Big Data environments, the new product combines industry-leading compression -- up to 40x -- along with 10-100x faster analytics by providing both SQL access and MapReduce. The compressed multi-structured data set running on HDFS delivers maximum efficiency and reduces the cluster size by 50 percent to 80 percent, which significantly lowers operating cost.

In addition to the new RainStor Big Data Analytics on Hadoop product, RainStor also announced partnerships with Cloudera, Hortonworks and MapR leading distributors of open source Apache Hadoop in addition to a partnership with Composite Software.

Extending the Value of Hadoop for the Enterprise
Hadoop has had a tremendous impact to enable enterprise analytics of Big Data at low cost scale. The Hadoop ecosystem is increasingly focused on enterprise features to add resilience, security and flexible high-performance analytics of multi-structured data for better business insights.

RainStor brings added value to new and existing Hadoop deployments with proven database technology and enterprise-grade features. Because RainStor provides the highest level of compression, data is reduced by up to 40x (97.5 percent) or more compared to raw data, and requires no re-inflation when accessed. Faster analytics are achieved when this compression is combined with unique dynamic filtering at file, column and row level, resulting in higher productivity from more efficient use of the Hadoop cluster. Compression, combined with enterprise database management features, also reduces storage and cluster size for lower operating costs.

RainStor Big Data Analytics on Hadoop Delivers:

1. The industry's first enterprise database running natively on Hadoop, enabling faster analytics
2. The highest data compression in the industry with up to 40x reduction, compared to raw data typically stored in HDFS, with no re-inflation required for access
3. The ability to run faster query and analysis using both SQL query and MapReduce with 10-100x faster results
4. The ability to perform analytics directly in Hadoop, reducing the need to create copies and transfer data out
5. Reduced nodes in a Hadoop cluster with ~85 percent lower operating costs.

Supporting Quotes
"As data volumes continue to grow and users look to take advantage of both structured and unstructured data, offerings like RainStor Big Data Analytics on Hadoop that enable co-existence without data movement are likely to come into greater focus. RainStor's de-duplication and compression capabilities also offer the potential to lower cluster size and cost, while improving analytic performance, which will be key considerations as we see even greater adoption of Hadoop."
-Matt Aslett, Research Manager, Data Management and Analytics at 451 Research

"To manage growing, complex volumes of data requires more efficient data management to drive down infrastructure costs and at the same time provide flexible, high performance analysis. RainStor uniquely delivers the flexibility to use both MapReduce and rapid-response SQL query, which gives customers the ability to get more out of their Hadoop environments. RainStor on Hadoop essentially gives the enterprise high performance analytics at scale, without the premium cost of a data warehouse."
-John Bantleman, CEO at RainStor

Product Availability
RainStor Big Data Analytics on Hadoop is available immediately. For more information on product, pricing and partner opportunities please contact [email protected] or visit www.rainstor.com.

Additional Resources

About RainStor
RainStor provides Big Data management software. RainStor's database enables the world's largest companies to keep and access limitless amounts of data for as long as they want at the lowest cost. It features the highest level of compression on the market, together with high performance on-demand query and simplified management. RainStor runs natively on a variety of architectures and infrastructure including Hadoop. RainStor's leading partners, include Amdocs, AdaptiveMobile, Dell, HP, Informatica, Qosmos and Teradata.

RainStor is a privately held company with offices in San Francisco, USA and Gloucester, UK. For more information, visit www.rainstor.com. Join the conversation at www.twitter.com/rainstor.

Add to Digg Bookmark with del.icio.us Add to Newsvine

Contact:
Julie Tangen
Kulesa Faul for RainStor
(831) 425-1083
Email Contact

More Stories By Marketwired .

Copyright © 2009 Marketwired. All rights reserved. All the news releases provided by Marketwired are copyrighted. Any forms of copying other than an individual user's personal reference without express written permission is prohibited. Further distribution of these materials is strictly forbidden, including but not limited to, posting, emailing, faxing, archiving in a public database, redistributing via a computer network or in a printed form.

IoT & Smart Cities Stories
The challenges of aggregating data from consumer-oriented devices, such as wearable technologies and smart thermostats, are fairly well-understood. However, there are a new set of challenges for IoT devices that generate megabytes or gigabytes of data per second. Certainly, the infrastructure will have to change, as those volumes of data will likely overwhelm the available bandwidth for aggregating the data into a central repository. Ochandarena discusses a whole new way to think about your next...
CloudEXPO | DevOpsSUMMIT | DXWorldEXPO are the world's most influential, independent events where Cloud Computing was coined and where technology buyers and vendors meet to experience and discuss the big picture of Digital Transformation and all of the strategies, tactics, and tools they need to realize their goals. Sponsors of DXWorldEXPO | CloudEXPO benefit from unmatched branding, profile building and lead generation opportunities.
All in Mobile is a place where we continually maximize their impact by fostering understanding, empathy, insights, creativity and joy. They believe that a truly useful and desirable mobile app doesn't need the brightest idea or the most advanced technology. A great product begins with understanding people. It's easy to think that customers will love your app, but can you justify it? They make sure your final app is something that users truly want and need. The only way to do this is by ...
Digital Transformation and Disruption, Amazon Style - What You Can Learn. Chris Kocher is a co-founder of Grey Heron, a management and strategic marketing consulting firm. He has 25+ years in both strategic and hands-on operating experience helping executives and investors build revenues and shareholder value. He has consulted with over 130 companies on innovating with new business models, product strategies and monetization. Chris has held management positions at HP and Symantec in addition to ...
DXWorldEXPO LLC announced today that Big Data Federation to Exhibit at the 22nd International CloudEXPO, colocated with DevOpsSUMMIT and DXWorldEXPO, November 12-13, 2018 in New York City. Big Data Federation, Inc. develops and applies artificial intelligence to predict financial and economic events that matter. The company uncovers patterns and precise drivers of performance and outcomes with the aid of machine-learning algorithms, big data, and fundamental analysis. Their products are deployed...
Dynatrace is an application performance management software company with products for the information technology departments and digital business owners of medium and large businesses. Building the Future of Monitoring with Artificial Intelligence. Today we can collect lots and lots of performance data. We build beautiful dashboards and even have fancy query languages to access and transform the data. Still performance data is a secret language only a couple of people understand. The more busine...
Cell networks have the advantage of long-range communications, reaching an estimated 90% of the world. But cell networks such as 2G, 3G and LTE consume lots of power and were designed for connecting people. They are not optimized for low- or battery-powered devices or for IoT applications with infrequently transmitted data. Cell IoT modules that support narrow-band IoT and 4G cell networks will enable cell connectivity, device management, and app enablement for low-power wide-area network IoT. B...
The hierarchical architecture that distributes "compute" within the network specially at the edge can enable new services by harnessing emerging technologies. But Edge-Compute comes at increased cost that needs to be managed and potentially augmented by creative architecture solutions as there will always a catching-up with the capacity demands. Processing power in smartphones has enhanced YoY and there is increasingly spare compute capacity that can be potentially pooled. Uber has successfully ...
SYS-CON Events announced today that CrowdReviews.com has been named “Media Sponsor” of SYS-CON's 22nd International Cloud Expo, which will take place on June 5–7, 2018, at the Javits Center in New York City, NY. CrowdReviews.com is a transparent online platform for determining which products and services are the best based on the opinion of the crowd. The crowd consists of Internet users that have experienced products and services first-hand and have an interest in letting other potential buye...
When talking IoT we often focus on the devices, the sensors, the hardware itself. The new smart appliances, the new smart or self-driving cars (which are amalgamations of many ‘things'). When we are looking at the world of IoT, we should take a step back, look at the big picture. What value are these devices providing. IoT is not about the devices, its about the data consumed and generated. The devices are tools, mechanisms, conduits. This paper discusses the considerations when dealing with the...