Apache Delivers Cassandra 2.0 Open-Source NoSQL Database
The Apache Software Foundation (ASF) announces version 2.0 of the Cassandra NoSQL database.The Apache Software Foundation (ASF) has announced the availability of Apache Cassandra v2.0, the latest version of the highly scalable, NoSQL big data distributed database. Apache Cassandra powers massive data sets quickly and reliably without compromising performance, whether running in the cloud or partially on-premise in a hybrid data store, ASF officials said. New features in Apache Cassandra v2.0 include lightweight transactions, triggers and CQL (Cassandra Query Language) enhancements that increase productivity in creating modern, data-driven applications. “The headlining features in 2.0 are lightweight transactions, CQL enhancements and triggers,” wrote Jonathan Ellis, chair of the Apache Cassandra Project Management Committee and CTO at DataStax, in a blog post on the new release. “But 2.0 also features a lot of internal optimizations and improvements,” he added.
ASF officials said Cassandra’s fully distributed architecture provides critical fault tolerance to ensure applications will not go offline, and its linear scalability allows them to reach massive sizes while successfully handling thousands of requests per second.
- Lightweight transactions allow ensuring operation ‘linearizability’ similar to the ‘serializable’ isolation level offered by relational databases, which prevents conflicts during concurrent requests
- Triggers, which enable pushing performance-critical code close to the data it deals with, and simplify integration with event-driven frameworks like Storm
- CQL enhancements such as cursors and improved index support
- Improved compaction, keeping read performance from deteriorating under heavy write load
- Eager retries to avoid query timeouts by sending redundant requests to other replicas if too much time elapses on the original request
- Custom Thrift server implementation based on LMAX Disruptor that achieves lower message processing latencies and better throughput with flexible buffer allocation strategies