DataStax Launches New Cassandra-Based NoSQL DBs, Gets $45M Funding

DataStax announced new versions of its Apache Cassandra-based NoSQL databases and also pulled in $45 million in funding.

DataStax, provider of a big data platform based on Apache Cassandra, has announced new versions of its enterprise-grade and community-edition database software, along with a new round of funding to help to grow its business.

In an interview with eWEEK, Jonathan Ellis, DataStax co-founder and Apache Cassandra project chair, said 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.

DataStax is glad to be able to announce Apache Cassandra 2.0 for Cassandra's fifth birthday, Ellis said. "Version 2.0 continues our focus on the developer experience," he said in a statement. "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 made its announcements at the O'Reilly Open Source Convention (OSCON) on July 23.

DataStax sells an enterprise-grade database that 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 life cycle, and provides greater scalability and simpler manageability.

DSE 3.1 provides greater scalability, enabling 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. It also features Apache Solr 4.3 integration with more than 60 new features to enable faster search performance, new memory caches and monitoring functionality, and greater reliability.

The new release of DataStax Enterprise also provides the latest version of the Cassandra Query Language (CQL3), which 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.

"We're seeing a lot of migration away from Oracle and relational technology in the enterprise to DataStax," Ellis told eWEEK. "We're smoothing the on-ramp for enterprise developers by adding this query language that is similar to SQL."

Ellis said 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 (RDBMSes) to DataStax, citing scalability, disaster avoidance and cost savings as key criteria. The new DataStax software versions offer comprehensive feature sets that allow developers accustomed to relational database systems to make a smooth transition to NoSQL technology, DataStax said.

Ellis added that virtual nodes (vnodes) and parallel operations enable users to increase capacity and perform maintenance operations much faster than before, and new tracing features let users dive into the response times of queries and other database operations.