by Angela Guess
A new release out of the company reports, “SnapLogic, the industry’s first unified data and application integration platform as a service (iPaaS), today introduced the Summer 2016 release of its SnapLogic Elastic Integration Platform. The Summer 2016 release brings new additions to SnapLogic’s library of more than 400 intelligent connectors called Snaps, and enhances the core platform with improved performance and new data governance features for hybrid deployments. ‘SnapLogic continues to break down the barriers between data and application integration in the enterprise with a converged platform that is built for self-service,’ said Vaikom Krishnan, vice president of engineering at SnapLogic. ‘The Summer 2016 release further enhances our Snap library and resources for Snap developers to help support our vision of ‘anything, anytime, anywhere’ integration’.”
The press release continues, “The Summer 2016 release introduces several enhancements to SnapLogic’s support for Hadoop- and Spark-based big data integration. These include: (1) New Hive Snap: the Snap for the Apache Hive data warehouse automates execution of Data Manipulation Language (DML) and Data Definition Language (DDL) statements for rapid queries on either Cloudera- or Hortonworks-based Hadoop clusters. (2) New Teradata Snap: this Snap connects a Teradata database as part of an integrated data pipeline for enhanced business analytics. (3) Enhanced encryption for the Hadooplex: this enhancement to the SnapLogic Hadooplex – the data processing engine that is deployed on a Hadoop cluster – allows cloud service and database credentials to be stored and encrypted under the customer’s control without leaving the SnapLogic environment, bringing more flexibility and security to data processing in Hadoop clusters.”
Photo credit: SnapLogic