Big data integration firm Syncsort has announced the availability of Syncsort Ironcluster, claimed to be the first data integration engine for Amazon Elastic MapReduce (Amazon EMR).
The new offering from Syncsort on Amazon Web Services (AWS) provides elastic Hadoop ETL as-a-service running on Amazon EMR, combining speed, scalability, and ease of use, according to Syncsort. The first ten nodes are offered free, with additional nodes charged at an hourly price point.
Gary Survis, CMO at Syncosrt, said in an interview with CBR that the low price point (free up to 10 nodes) will be ideal for companies wanting to experiment with Hadoop in the Amazon cloud, while many are also hoped to take projects into production, either in the Amazon cloud or after moving them back on-premise. He believes more and more companies are looking to offload data processing from ‘expensive’ data warehouses and mainframes into Hadoop.
"The combination of these two offerings will enable customers to quickly and cost-effectively process vast amounts of data in the cloud," said Terry Hanold, VP cloud commerce, Amazon Web Services.
Syncsort’s Survis said a library of use-case accelerators makes it easier to implement common tasks including Amazon EMR jobs such as joins, change data capture (CDC), web log aggregations, and mainframe data access.
Developers can design MapReduce jobs and develop complex data flows through a template-based graphical user interface without writing code, and also design once and reuse many times.
Read our recent feaure on big data integration here.
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