The Spring XD team is pleased to announce that Spring XD 1.0.0 Milestone 5 is now available for download.

Spring XD makes it easy to solve common big data problems such as data ingestion and export, real-time analytics, and batch workflow orchestration. This release includes several notable new features:

• Pre-defined batch jobs for JDBC to HDFS
• Many additional job shell commands for controlling and reporting on batch jobs.
• Hadoop Dataset Avro sink that uses the Kite SDK
• HDFS sink now supports codecs (gzip, snappy, bzip2, lzo) and fine-grained control over file naming
• JMS source module now support Topics in addition to Queues
• Improved support for use of Gemfire Locators
• Aggregator module for batching that also supports a backing message store for checkpointing the event stream to memory, Redis, or a relational database.
• Support for separate control and data transport protocols
• XD servers are now built on top of Spring Boot

Having addressed 140+ Jira issues in this milestone release, please consult the changelog and the reference manual for more information.

Also available are several sample applications and scripts to deploy Spring XD to EC2

Also, if you're a Mac user and Homebrew connoisseur, installing Spring XD is as simple as executing:

$ brew tap pivotal/tap

$ brew install springxd

For more information please see the Spring XD project website. Lastly, if you're new to Spring XD, please don't forget to also checkout the QCon SF 2013 Session Reply: Introducing Spring XD.