DataStax Enterprise – Dataconomy https://dataconomy.ru Bridging the gap between technology and business Tue, 19 May 2015 14:58:01 +0000 en-US hourly 1 https://dataconomy.ru/wp-content/uploads/2022/12/cropped-DC-logo-emblem_multicolor-32x32.png DataStax Enterprise – Dataconomy https://dataconomy.ru 32 32 DataStax Debuts DSE 4.7, The Complete Enterprise Database Platform https://dataconomy.ru/2015/05/19/datastax-debuts-dse-4-7-the-complete-enterprise-database-platform/ https://dataconomy.ru/2015/05/19/datastax-debuts-dse-4-7-the-complete-enterprise-database-platform/#respond Tue, 19 May 2015 14:57:10 +0000 https://dataconomy.ru/?p=12848 DataStax today announced the general availability of DataStax Enterprise 4.7 (DSE 4.7), the database platform purpose-built for the performance and availability demands of web, mobile and Internet of Things (IoT) applications. With significant advancements to integrated enterprise search, analytics, security, in-memory computing, and database management and monitoring, DSE 4.7 is capable of handling the increasing shift […]]]>

DataStax today announced the general availability of DataStax Enterprise 4.7 (DSE 4.7), the database platform purpose-built for the performance and availability demands of web, mobile and Internet of Things (IoT) applications. With significant advancements to integrated enterprise search, analytics, security, in-memory computing, and database management and monitoring, DSE 4.7 is capable of handling the increasing shift toward mixed workload deployments.

“With DataStax Enterprise 4.7 and OpsCenter 5.2, users can search, analyze, secure and manage all their online data in one platform and ensure it’s immediately available for real-time decision making”, says Robin Schumacher, DataStax VP of Products. “For this release, a key area of concentration was improving our enterprise search. We’re very excited about our new “Live Indexing” feature, which makes new, high-velocity data coming in immediately available for search. Other search software like Apache Solr (which we use as our search foundation) and Elasticsearch oftentimes experience lags between new data entering a system and having it ready for search, but our Live Indexing does away with such delays”.

In addition, DSE 4.7 is the first database to link together Spark analytics and enterprise search. We’ve enhanced the SparkSQL language so that is accepts Solr search filters and syntax directly through a query’s WHERE clause. The end result is more powerful analytical queries that can use search and the potential for faster response times.

DSE 4.7 also includes support for machine learning, JDBC, and easy performance monitoring of Spark performance in DSE’s Performance Service. DSE’s in-memory option has also been improved to address up to 50x more RAM than previous versions. With encryption and external security software support enhancements, DSE 4.7 and OpsCenter 5.2, DataStax’s visual management and monitoring console, delivers heightened data protection to keep data safe at all times. OpsCenter 5.2 allows administrators to easily expand into new territories, add new on-premise data centers and provide additional cloud availability zones when needed. OpsCenter’s new visual features for multi-data center operations helps administrators efficiently provision, administer, and monitor multi-site databases, while new visual performance dashboards with expert recommendations help simplify performance tuning.

DSE 4.7 includes a production-certified version of Cassandra 2.1, bringing features such as user defined types, improved counters, and more efficient repair operations.


About Datastax

DataStax delivers Apache Cassandra™ in a database platform purpose-built for the performance and availability demands for IoT, web and mobile applications. This gives enterprises a secure, always-on database technology that remains operationally simple when scaling in a single datacenter or across multiple datacenters and clouds.

With more than 500 customers in over 50 countries, DataStax is the database technology of choice for the world’s most innovative companies, such as Netflix, Adobe, Intuit and eBay. Based in Santa Clara, Calif., DataStax is backed by industry-leading investors including Comcast Ventures, Crosslink Capital, Lightspeed Venture Partners, Kleiner Perkins Caufield & Byers, Meritech Capital, Premji Invest and Scale Venture Partners.


Image Credit: DataStax

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Azul Systems and DataStax Partner on High-Performance Java Platform for Cassandra https://dataconomy.ru/2014/11/05/azul-systems-and-datastax-partner-on-high-performance-java-platform-for-cassandra/ https://dataconomy.ru/2014/11/05/azul-systems-and-datastax-partner-on-high-performance-java-platform-for-cassandra/#respond Wed, 05 Nov 2014 11:54:47 +0000 https://dataconomy.ru/?p=10205 Azul Systems, the award-winning leader in Java runtime solutions and DataStax, the company that delivers Apache Cassandra™ to the enterprise, announced a partnership to allow DataStax Enterprise (DSE) customers to leverage the enhanced performance of Azul Zing. Zing is now a certified Java Virtual Machines (JVM) for DataStax Enterprise (DSE), ensuring smooth deployments and seamless […]]]>

Azul Systems, the award-winning leader in Java runtime solutions and DataStax, the company that delivers Apache Cassandra™ to the enterprise, announced a partnership to allow DataStax Enterprise (DSE) customers to leverage the enhanced performance of Azul Zing. Zing is now a certified Java Virtual Machines (JVM) for DataStax Enterprise (DSE), ensuring smooth deployments and seamless operation. In recent benchmark testing, DataStax deployed on Zing outperformed traditional SQL databases by an order of magnitude in both throughput and runtime consistency over conventional JVMs.

Core big data technologies such as Cassandra, Solr and Spark are written in Java requiring a JVM for runtime execution. Azul Zing is the only JVM that implements pauseless garbage collection, providing highly consistent Java runtime performance independent of an application’s memory requirements. Zing is ideal for real-time deployments that need to leverage large in-memory datasets and caches. Through this partnership DataStax customers can now deliver greater business value and provide low latency, real-time solutions for demanding applications requiring an ever-increasing amount of in-memory data such as fraud detection, website personalization, payment systems and time-critical decision support.

“DataStax is the distributed database management of choice for enterprises and together with our partners we offer innovative solutions that complement our technology,” said Matt Rollender, vice president of Infrastructure and Ecosystem Development, DataStax. “We are pushing the envelope with Azul Systems by delivering an incredible boost in performance for JVMs.”

“Companies depend on real-time big data systems to maximize revenue and mitigate operational risk,” said Scott Sellers, CEO of Azul Systems. “Zing was created to allow Java applications and open source databases like Cassandra to support high throughput, real-time and low latency use cases even with massive in-memory datasets. We are excited to be working with DataStax to bring these benefits to more enterprises.”

Zing is the best JVM for real-time Cassandra deployments. Zing allows Cassandra to operate more consistently by eliminating JVM-caused response time delays. With Zing each Cassandra node can scale to use 1 TB of in-memory data while remaining capable of delivering maximum response times below 20 milliseconds – a level of response time performance unmatched by traditional databases.

To test Zing with your DataStax or Cassandra deployment, request a free evaluation copy here: http://www.azul.com/trial

(Image Credit: Datastax)

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