MapR, Syncsort Partner on Big Data ETL Hadoop Solution
Users of MapR's Hadoop distribution have a new officially supported extract/transform/load (ETL) solution. Through a partnership with Syncsort, enterprises can use the latter's ETL software to offload data into MapR's Hadoop Big Data platform.
Users of MapR's Hadoop distribution have a new officially supported extract/transform/load (ETL) solution. Through a partnership with Syncsort, enterprises can use the latter's ETL software to offload data into MapR's Hadoop Big Data platform.
The companies announced the partnership at this week's Hadoop Summit in San Jose, California. The collaboration will make the Syncsort DMX-h ETL solution a certified complement to MapR's Hadoop distribution.
The agreement positions MapR to attract customers aiming to move data from legacy platforms into a more efficient and scalable Hadoop environment. "Customers can cost-effectively optimize data warehouses and expensive legacy platforms by offloading heavy processing into a secure and reliable Hadoop environment," according to MapR.
The company cited several big-name customers already taking advantage of the solution, among them comScore and Experian. "The MapR and Syncsort integration lets us process our data even faster than before, and allows us to bring new applications to market rapidly," said Mike Brown, CTO, comScore, in a statement.
Tom Thomas, IT director at Experian, credited "enterprise-grade Hadoop solutions from MapR and Syncsort" for his organization's ability to offload data "from mainframe and SAN systems has increased our performance at reduced costs."
MapR is making a trial version of Syncsort DMX-h available in the MapR App Gallery, a Big Data app store that the company also unveiled at the Hadoop Summit this week.
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