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Aster Data Announces Connectivity with Apache Hadoop


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Aster Data, a provider of data analytics and management platforms for "big data" applications, has announced the availability of a new Aster-Hadoop Data Connector, which utilizes Aster's patent-pending SQL-MapReduce capabilities for two-way, high-speed, data transfer between Apache Hadoop and Aster Data's massively parallel data warehouse.

Apache Hadoop is a Java software framework that supports data-intensive distributed applications under a free license. It enables applications to work with thousands of nodes and petabytes of data. The Apache Hadoop project consists of numerous subprojects that are all focused on providing open-source software for reliable, scalable, distributed computing. These include a data collection system, the Hadoop Distributed File System (HDFS) for high throughput access to application data, and a high-level data flow language.

Aster's new Hadoop Connector allows businesses to leverage Hadoop for data collection and preparation, alongside Aster, to perform complex data analytics and processing. For example, companies can now seamlessly use Hadoop for ETL processing or data manipulation, and then pull that data into Aster for interactive queries or ad-hoc analytics on massive data scales. The Connector utilizes key new SQL-MapReduce functions to provide ultra-fast, two-way data loading between HDFS and Aster Data's MPP Database.

"The Aster Data MPP Database meets customers' needs for more affordable large-scale, high-speed data management and analytics by providing horizontal scalability across large numbers of inexpensive, commodity servers," Tasso Argyros, CTO of Aster Data, tells 5 Minute Briefing. "Additionally, Aster Data has combined SQL architecture with MapReduce technology to distribute large SQL queries across many worker- server nodes for even faster parallel processing. With this latest announcement, customers can now utilize the Hadoop connector to run large data streams through Hadoop for transformations, putting the data into proper structures that prepare it for analytic use, and then loading it into the Aster data warehouse where it can be accessed by analytical applications."

For more information, go here.


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