Syncsort, a global leader in Big Data integration solutions, today announced the availability of its Spring ’13 release, including two brand new Hadoop products and breakthrough enhancements to DMX that turn Hadoop into a more robust, feature rich and easy-to-use ETL solution.
Big Data is prompting organizations to look at Hadoop to process more data in less time and for less money, but Hadoop is not yet a complete ETL solution. Syncsort’s two new offerings for Hadoop – DMX-h ETL Edition and DMX-h Sort Edition are designed to strengthen Hadoop by providing the full functionality required to deliver enterprise ETL capabilities. They provide greater ease-of-use and maximize node performance compared to non-native, code-generating ETL tools. In addition, performance and connectivity enhancements to DMX expand usage by end-users and partners.
“Analyzing Big Data is critical to our customers’ ability to sustain competitiveness, but the avalanche of information is breaking traditional data integration architectures ─ many of the tools are too code and resource intensive and ultimately drive costs too high,” said Josh Rogers, senior vice president, data integration business, Syncsort. “With our new DMX editions, we are strengthening Hadoop by providing seamless and powerful ETL and sort capabilities and at the same time, reinvigorating the value proposition of ETL by leveraging the power of Hadoop to scale core processing of Big Data.”
The new DMX-h solutions take advantage of Syncsort’s recent contribution to Apache Hadoop, which provides a unique level of native integration to deliver best in class data integration capabilities and Sort acceleration for Apache Hadoop distributions.
Highlights of the DMX-h ETL include:
• Smarter Architecture. DMX-h has the only ETL engine that runs natively within MapReduce, maximizing node performance.
• Smarter Development. Hadoop ETL without coding. Developers can leverage an easy-to-use Windows GUI and deploy seamlessly into Hadoop.
• Smarter Productivity. “Use case accelerators” – a library of pre-built templates help developers fast-track Hadoop ETL implementations.
• Smarter Connectivity. Extends access to and delivery of all data, including from the mainframe.
• Smarter Economics. Smarter architecture, development, connectivity and productivity combine to help drive results in less time and at a fraction of the cost of other solutions.
Recent Syncsort benchmarks show significant Hadoop performance and resource efficiency improvements when using DMX-h. More importantly, the results show very predictable and sustainable throughput even as data volumes grow. Using the TeraSort benchmark, DMX-h Sort Edition achieved a sustainable throughput of over 100 megabytes per second per node (MB/S/N) delivering upwards of 2x higher throughput per node than Hadoop’s native sort at 45 MB/S/N. Similarly, DMX-h ETL Edition achieved sustainable throughput in excess of 255 MB/S/N for up to 2.5x faster performance than Pig when aggregating 2TB of Web log data. In both cases, tests were run for data volumes ranging from 500GB to 2TB of data. While alternatives such as Hadoop’s native sort and Pig reach a saturation point – where throughput starts to decline – at around 500GB of data, DMX-h delivered sustainable and predictable performance from 500GB to 2TB. The implications are huge for organizations, as they can more efficiently size their Hadoop infrastructure, minimize uncertainty and achieve a more predictable cost–structure as Big Data becomes even bigger.