by Angela Guess
A recent article out of the company reports, “SnapLogic, the industry’s first unified data and application integration platform as a service (iPaaS), today introduced the Spring 2016 release of the SnapLogic Elastic Integration Platform. The Spring release adds new capabilities for integrating streaming data and powering big data analytics in the cloud with support for Apache Kafka, Microsoft HDInsight, and Google Cloud Storage, plus numerous enhancements that automate data shaping and management tasks that are critical to transforming data into insights.”
Vaikom Krishnan, vice president of engineering at SnapLogic, commented, “SnapLogic’s platform is now processing over 100 billion JSONdocuments per month, delivering enterprise-scale data and application integration as a service to our customers… The Summer 2016 release further expands our big data integration capabilities with advanced streaming capabilities that are well suited for Internet of Things and data lake use cases.”
The article goes on, “Much of the data flowing into enterprise data lakes is high-throughput, real-time data from e-commerce transactions, website clickstreams, wearables and other Internet of Things sources. SnapLogic’s new intelligent connectors, called Snaps, for the Apache message broker: (1) make it simple to create low-latency big data pipelines without coding & help to make Kafka enterprise-ready with pre-built Snaps for common data transformation operations plus connectors for 400+ endpoints, (2) can be used in conjunction with SnapLogic Ultra Pipelines, always-on data flows which receive input from a website or an application and return data to the requested endpoint at speeds up to 10x faster, making them ideal for IoT data flows.”
Photo credit: SnapLogic