Hello Flink Community, we would like to announce the availability of the Euphoria API [1] — a thin, declarative Java API for big-data processing we started mainly to shield our programs away from the differences between different execution engines as well as the implementation differences between batch and stream processing. Indeed, our goals are very similar to those of Apache Beam [2] and we consider our API an alternative and independent solution.
Earlier this year we managed to release Euphoria under the APL2 license and move its development fully to the open on Github[1]. Currently, we have back-ends for Apache Flink [3] and Apache Spark [4]. We are seeking for general feedback and ideas to improvements from a broader community. If you are interested in unifying the processing of bounded and unbounded inputs (and/or interested in writing big-data processing programs in a technology neutral manner) we would like to invite you to take a look at Euphoria and get into contact with us through Github. P. [1] https://github.com/seznam/euphoria [2] https://beam.apache.org/ [3] http://flink.apache.org/ [4] https://spark.apache.org/
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