SnapLogic has unveiled a new version of DataFlow Server, which includes new enhancements including support for Java and the inclusion of database connection pipelines directly into web resources.
The company said that the version 2.2 with Java support provides higher performance execution and support for parallel execution, required in cloud data centres with multi-core processors.
The Java components can be mixed and matched with Python components in the company’s pipelines and they are compatible with one another. The component APIs for each language are also similar, providing a consistent API for Snap developers, whether they use Python or Java, the company said.
According to SnapLogic, the new DataFlow Server 2.2 provides access to libraries and APIs of Java community; and gives more options for Snap developers. Snaps, the connectors, pipelines and data transformations available in SnapLogic’s SnapStore online marketplace, can be built in Java and existing code libraries can be re-used to build public and private Snaps.
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In addition, the new version 2.2 offers enhanced parallelism; JDBC support that allows connections to a greater number of enterprise databases; and includes database connection resources directly into pipelines. SnapLogic DataFlow Server 2.2 allows for full parameterisation of all connection properties at runtime.
Gaurav Dhillon, chief executive officer of SnapLogic, said: “With our new support for Java, we are thrilled to offer an enterprise-grade integration platform that beats laborious, repetitive, and error-prone scripts and provides a smart alternative to traditional enterprise integration products. The combination of our new DataFlow Server and the upcoming SnapStore has the power to transform the integration market.”
