DataStax Announces New Developer-Rich Versions of Its Enterprise-Grade and Community-Edition Database Software, Powered by Apache Cassandra
- Latest software versions give developers more options and an easier transition from relational databases such as Oracle to NoSQL solutions.
- DataStax Enterprise (DSE) 3.1 can allow up to 10x more Cassandra data per node than prior versions, features Solr 4.3 integration and incorporates the new Cassandra Query Language (CQL) binary protocol with .NET and Java drivers.
- DataStax Community Edition (DSC) 2.0 adds lightweight transaction capability with Compare and Set (CAS), eager retries, triggers, improved compaction and CQL cursors.
OSCON, Portland Ore., July 23, 2013—DataStax, the company that powers the online applications that transform business, today announced new versions of its enterprise-grade and community-edition database software, powered by Apache Cassandra™. The new software versions offer developers more powerful tools and easier deployment capabilities as they transition from relational database technologies such as Oracle to NoSQL solutions such as DataStax.
“We are excited to announce Apache Cassandra 2.0 for Cassandra’s fifth birthday,” said Jonathan Ellis, chair, Apache Cassandra Project Management Committee and chief technology officer, DataStax. “Version 2.0 continues our focus on the developer experience. Features like lightweight transactions and cursors make the Cassandra Query Language even more powerful and easy to use, while we continue to make performance improvements under the hood.”
DataStax Enterprise 3.1
DataStax sells an enterprise-grade database that seamlessly and securely integrates real-time data with Apache Cassandra, batch analytics with Apache Hadoop™, enterprise search with Apache Solr™ and visual monitoring and management with OpsCenter. The latest version, DataStax Enterprise (DSE) 3.1, increases developer ease-of-use to shorten the product development lifecycle, and provides greater scalability and simpler manageability with the following features:
- Increased scalability: new version enables users to manage up to 10 times as much Cassandra data per node for many use cases with the same high levels of performance, handling more data with fewer servers
- Faster search: Apache Solr 4.3 integration with more than 60 new features enables faster search performance, new memory caches and monitoring functionality, and greater reliability
- Easier transition: latest version of Cassandra Query Language (CQL3) flattens the learning curve for developers migrating from relational databases. Developers can make use of 3.1’s CQL binary protocol and new DataStax Java and .NET drivers to shorten product development cycles
- Simpler manageability: virtual nodes (vnodes) and parallel operations enable users to increase capacity and perform maintenance operations much faster than before
- Deeper visibility: tracing features let users dive into the response times of queries and other database operations
“We’re looking forward to all the benefits of DataStax Enterprise 3.1,” said Aaron Stannard, chief technology officer, MarkedUp. “We use DSE today to power a lot of our customer facing analytics service and use all three Apache components – Cassandra, Hadoop and Solr – in our platform. We’ll definitely make use of Cassandra’s virtual nodes and CQL3 support, and the Solr improvements should enable faster, more robust search.”
DSE 3.1 is available for purchase now, and organizations interested in the software can click here to learn more about its comprehensive feature set.
DataStax Community Edition (DSC 2.0)
DataStax also announced its community-edition software based on Apache Cassandra 2.0, the newest version of the massively scalable open-source NoSQL database which is targeted for release next month. DSC 2.0 includes a range of new features, including:
- Compare and Set (CAS): a lightweight transaction mechanism that helps ensure users do not overwrite each other’s work
- Triggers: delivers the ability to have event-driven operations for applications at the database level
- Improved compaction: delivers efficiency gains for larger data on disk
- Eager retries: gives increased reliability when replicating data
- CQL cursors: allows developers to easily navigate and scroll through datasets
Companies Migrate From Relational Databases to DataStax
Relational database technologies such as Oracle are inadequate for powering today’s online line-of-business applications. DataStax recently announced that dozens of companies have migrated from traditional Oracle relational database management systems (RDBMS) to DataStax, citing scalability, disaster avoidance and cost savings as key criteria. The new software versions announced today offer comprehensive feature sets that allow developers accustomed to relational database systems to make a smooth transition to NoSQL technology.
DataStax powers the online applications that transform business for more than 300 customers, including startups and 20 of the Fortune 100. DataStax delivers a massively scalable, flexible and continuously available big data platform built on Apache Cassandra™. DataStax integrates enterprise-ready Cassandra, Apache Hadoop™ for analytics and Apache Solr™ for search across multi-datacenters and in the cloud.
Companies such as Adobe, Healthcare Anytime, eBay and Netflix rely on DataStax to transform their businesses. Based in San Mateo, Calif., DataStax is backed by industry-leading investors: Lightspeed Venture Partners, Crosslink Capital, Meritech Capital Partners, Scale Venture Partners, DFJ Venture Capital and Next World Capital. For more information, visit DataStax or follow us @DataStax.
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