Spring for Apache Hadoop provides a strong foundation for building Hadoop applications. Spring XD builds upon these foundational assets, as well as Spring Data, Spring Integration and Spring Batch - further simplifying the process of creating real-world big data solutions. Specifically, Spring XD offers a single, distribution portable, no-Java-complication-required solution to address common big data use-cases such as: - High throughput distributed data ingestion into HDFS from a variety of input sources. - Real-time analytics at ingestion time, e.g. gathering metrics and counting values. - Hadoop workflow management via batch jobs that combine interactions with standard enterprise systems (e.g. RDBMS) as well as Hadoop operations (e.g. MapReduce, HDFS, Pig, Hive or Cascading). - High throughput data export, e.g. from HDFS to a RDBMS or NoSQL database. Runs on Apache, Pivotal, Cloudera and Hortonworks!