The Apache Software Foundation has announced the availability of Apache HBase v1.0, a scalable database for Apache Hadoop and HDFS.
The Apache HBase is being dubbed the "Hadoop Database" and is used on top of Apache Hadoop and HDFS for random, real-time read/write access for Big Data across clusters of commodity hardware.
Michael Stack, Vice President of Apache HBase, said: "Apache HBase v1.0 marks a major milestone in the project’s development. It is a monumental moment that the army of contributors who have made this possible should all be proud of. The result is a thing of collaborative beauty that also happens to power key, large-scale Internet platforms."
Apache HBase v1.0 is the result of 7 years of development and includes more than 1,500 changes and upgrades over the previous major release.
Lars Hofhansl, Principal Architect at Salesforce.com, and member of the HBase Project Management Committee, said: "Over 13,000 JIRA issues were filed to get HBase where it is now. Going forward we have a clear compatibility story between major and minor versions."
Included in the new features are improved performance and the introduction of new API’s along with read availability which uses timeline consistent region replicas for new availability guarantees.
Francis Liu, Development Lead for Apache HBase at Yahoo, said: "This is a very exciting moment for Apache HBase, and goes to show how far we have come as a community in stabilizing and maturing Apache HBase."
"HBase is an integral part of our technology stack powering numerous critical offstage processing use cases across our business in online advertising, search, communication, content personalization and targeting, and social, mobile and emerging products."
"Today, we operate some of the largest HBase clusters across a 3,000 server footprint, and look forward to working with the community with a stable release as a base to scale individual HBase clusters to millions of regions soon."
