SAN MATEO, Calif., March 21, 2012 /PRNewswire/ -- GigaOm Structure (#dataconf) -- DataStax, the commercial leader in Apache Cassandra, today announced DataStax Enterprise 2.0 (DSE 2.0), the industry's first complete big data solution designed to manage real-time, analytic, and now enterprise search data, all in the same database cluster. The platform delivers a comprehensive, integrated data management solution that manages real-time data with Cassandra, provides batch analytic capabilities with Apache Hadoop, and enables enterprise search on that same data with Apache Solr.

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"Enterprise search is a high-demand capability, and open-source Apache Solr is the most popular open source search technology available," said Billy Bosworth, CEO, DataStax. "Solr downloads outnumber even Hadoop downloads today[1]. With DSE 2.0, we're allowing our customers to move faster in response to never ending user demands, by letting them focus on building big data applications instead of battling their infrastructure." 

By combining the search capabilities of Solr with the real-time and analytic database capabilities of Cassandra and Hadoop, DataStax Enterprise 2.0 provides Google-like capability for your database, with the added benefit of not needing to implement time-consuming and error-prone data movement routines.  Further, because DataStax Enterprise 2.0 is built on Cassandra, the platform delivers a scalable Solr for enterprise search with no single points of failure.  It also provides real-time search operations, full data durability, scalable and performant write operations across multiple datacenters, automatic data sharding, and easy index rebuild operations, none of which are found in native Solr. Lastly, in addition to the native Solr API's, developers can access Solr/search information using the SQL-like Cassandra Query Language (CQL), which makes it easy to query data stored in Solr.

With DataStax Enterprise 2.0, you can run real-time, analytic, and search operations in the same database cluster without any of the workloads affecting the other from a performance or resource contention standpoint.  The platform does not require time-consuming or expensive ETL software to move data between systems, because everything is automatically and transparently replicated in the cluster, even if that cluster spans multiple datacenters or is implemented in the cloud. 

"As a leading online video game subscription service, we wanted to enrich the customer experience by enabling our gamers to interact with each other and create a community," said Christian Carollo of GameFly. "With DataStax Enterprise integrating all aspects of data access into one robust data solution, it has allowed us to easily expand our platform and its feature set, thereby enhancing our products and users' experience."

SourceNinja, a leader in helping organizations manage open source, uses DSE 2.0 to correlate multiple distributions of a single open source project to a single project.  "For example, Linux is a single project - but there are multiple distributions and versions of Linux - Red Hat, Debian, Amazon and more," said Matt Stump, Co-founder, SourceNinja. "With all the different versions available, a search solution like what's in DataStax Enterprise 2.0 is really the only option that makes sense to keep all projects straight."

"With DataStax Enterprise, DataStax introduced the ability to use the same database cluster to support operational and analytic workloads. With version 2.0 the company has taken that one step further with the integration of enterprise search and elastic workload re-provisioning," said Matt Aslett, research manager, data management and analytics, 451 Research. "The new capabilities expand the way companies are able to use and analyze their data, avoiding the need to host redundant systems that have to be kept in-synch."

Other new functionality in DataStax Enterprise 2.0

DataStax Enterprise 2.0 now also includes RDBMS integration for all of the market-leading databases, making it simple to export data from your previous-generation database. And built-in utilities make it easy for developers to store, index and search application or web logs.

Finally, DataStax Enterprise 2.0 provides the ability to easily adjust the performance and capacity for various workloads. For example, the solution enables the creation of the perfect environment for retailers running major online ecommerce applications. Customers can assign a number of nodes to handle real-time operations during the day for transactional or shopping cart management. At night, they can reassign those same nodes to be Hadoop nodes, and run batch analytics on the data that was collected.

Key Benefits of DataStax Enterprise 2.0 include:

• Fully integrated smart big data platform
• Production certified Cassandra
• The only integrated, scalable, fault-tolerant enterprise search with Solr 
• Continuously available analytics with Hadoop
• Built-in workload isolation
• No costly and error-prone ETL operations
• Easy migration of RDBMS and log data
• Simple to install and grow
• OpsCenter Enterprise, a visual management solution for big data platforms
• 80-90% less cost than major RDBMS vendors

DataStax Enterprise 2.0 is currently available for download. For more information, please call 650-389-6000 or email info@datastax.com.

About DataStax
DataStax offers products and services based on the popular open-source database, Apache Cassandra™, which solve today's most challenging big data problems.  DataStax Enterprise combines the performance of Cassandra with analytics powered by Apache Hadoop and enterprise search with Apache Solr, creating a smartly integrated, big data platform. With DataStax Enterprise, real-time, analytic, and search workloads never conflict, giving you maximum performance with the added benefit of only managing a single database.

The company has over 140 customers, including leaders such as Netflix, Disney, Cisco, Rackspace and Constant Contact, and spans verticals including web, financial services, telecommunications, logistics and government. DataStax is backed by industry leading investors, including Lightspeed Venture Partners and Crosslink Capital, and is based in San Mateo, CA.

[1] http://people.apache.org/~vgritsenko/stats/projects/hadoop.html  

http://people.apache.org/~vgritsenko/stats/projects/lucene.html

SOURCE DataStax

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