Continuent, Inc., a leading provider of open source database clustering and replication solutions, today announced the immediate availability of Continuent Tungsten Replicator 3.0, a progressive, open source replication solution for Hadoop. Recognizing that fast decision-making depends on real-time data movement, Tungsten Replicator 3.0 replicates transactions from operational database systems such as MySQL, MariaDB and Oracle to Hadoop in real-time. This produces carbon-copy tables and enables the execution of analytic views in Hadoop within multiple environments including Hive.
By automatically reading the DBMS and forwarding transactions as soon as they commit, Tungsten Replicator reduces the load on operational systems, minimizes the amount of data that needs to move between locations, and allows transactions to quickly enter the data warehouse. When used together with Apache Sqoop, businesses can provision information and then leverage Tungsten Replicator to replicate transactions incrementally in real-time. This provides continuous data loading so existing data and changes can easily be applied into Hadoop. To learn more, visit Continuent at the Percona Live MySQL Conference and Expo in booth #300.
"Today, organizations are struggling to achieve real-time integration between MySQL/MariaDB and Hadoop and Oracle and Hadoop," said Robert Hodges, CEO, Continuent. "Rapid loading of data into Hadoop enables effective analytics and is becoming increasingly crucial, as Hadoop itself raises the bar for real-time query through technology like the Cloudera-sponsored Impala project, Spark, and HBase. With a flexible topology, our low cost, open source based solution provides organizations with a high-performance, low-impact way to transfer data from multiple upstream systems into Hadoop and to handle billions of transactions daily in order to derive demonstrable business value."
"Having tried traditional ETL tools and slow data-scraping techniques that put a heavy load on operational systems, we found that we were unable to meet demand," said Chris Schneider, Database Architect at Groupon. "Hadoop has clearly changed the landscape of data management by providing a central data hub that receives data from across the business; however, there is now a wide range of services that need to move OLTP data efficiently into Hadoop. With Tungsten Replicator we can quickly and flexibly move data out of operational databases into Hadoop where we run analytics that answer important business questions on timelines matching the needs of our users."