SnapLogic Expands Elastic Integration Platform to IoT

The Spring 2015 release of the SnapLogic Elastic Integration Platform extends the platform’s cloud and big data integration capabilities to the Internet of Things (IoT) with support for Message Queuing Telemetry Transport (MQTT), a lightweight machine-to-machine connectivity protocol.

The Spring 2015 release also adds user experience updates, API monitoring, and new intelligent connectors that allow the platform to be deployed more broadly in the enterprise.

With the new release of the enterprise integration platform as a service (iPaaS), SnapLogic customers can build dataflow pipelines that connect to an MQTT broker for sensors, mobile and connected devices and stream data to analytical and other applications in real time. According to the company, one of the primary use cases for the new MQTT Snaps is rapidly integrating IoT data with other big data sources and enterprise applications for predictive, advanced analytics and data visualization.

In addition to MQTT, SnapLogic is working toward supporting a number of emerging standards to ensure IoT data is able to be harnessed and managed effectively as part of an overall data lake strategy. Later this year, the platform will support additional IoT protocols such as AMQP, CoAP, OMA Lightweight M2M, ETSI Smart M2M.

“The Internet of Things represents the next wave of big data in the enterprise,” said Gaurav Dhillon, CEO of SnapLogic. “As IT organizations move away from legacy data and application management approaches and toward Hadoop, Spark and the data lake, SnapLogic’s scale-out architecture and breadth of connectivity have become essential ingredients for the modern integration fabric. The Spring 2015 release is yet another milestone for our company as we continue to focus on platform innovation and ensuring our enterprise customers can connect data, applications and things faster.”

In addition,the Spring 2015 release introduces additional updates that enable customers to broaden their iPaaS deployments and move away from traditional extraction, transformation and loading (ETL) and enterprise service bus (ESB) technologies, including low latency Ultra Pipelineswith improved error handling and performance monitoring, a new public monitoring API to allow proactive queriying of pipeline status, and lifecycle manage ment updates that allow customers to manage pipeline development, creating and testing pipelines before they move into production.

In addition the new release includes additional big data integration, user experience updates, and new and improved Snaps.

To learn more about what’s new, visit