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Big Data

Integrate Big Data

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.

Hadoop

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.

SnapReduce

Furthering SnapLogic's Big Data capabilities is our SnapReduce technology (currently in Beta). SnapReduce provides SnapLogic customers with an easy on-ramp to large-scale data-analysis projects carried out in Hadoop.

Key capabilities of SnapReduce include:

  • Hadoop for Humans – Enables non-technical users to process large data integration pipelines through Hadoop
  • Parallel Data Processing – Takes SnapLogic's parallel processing capabilities into the stratosphere with support for analyzing inconsistent or non-relational data such as text messages, social media streams, images and more
  • Triple Redundancy – SnapReduce's process replication ensures that if there is ever a problem with any one element of the computing environment, the data will not be lost

Interested in joining SnapLogic's Big Data Innovator's Program? Please contact us to learn more.