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Now more than ever, companies are faced with big data streams and repositories. Feeding, reading and analyzing large amounts of structured, complex or social data can prove challenging for most data integration vendors. Not so, for SnapLogic. SnapLogic's distributed, web-oriented architecture is a natural fit for consuming large data sets residing on-premise, in the cloud, or both.
Some of today's largest tech companies such as Facebook, Google and Yahoo! use Hadoop for processing and analyzing data patterns across big data sets. However, most companies do not have the technical resources to effectively perform complex tasks such as moving data into and out of the Hadoop system. This is where SnapLogic can provide tremendous value.
The Greenplum Snap provides read and write access to all objects in your custom Greenplum database. This Snap is equipped with dozens of functions you can perform on source data to integrate it with your other systems.
Use the HDFS Snap to read and write to the HDFS file system in delimited format. Files can be the consumed by the HDFS Reader and the HDFS Writer can generate files that can be consumed by other Hadoop tools like Hive.
Interested in joining SnapLogic's Big Data Innovator's Program? Please contact us to learn more.