With Cloud Dataflow — in its ideal state — data analysts will be able use the same system for creating their pipelines, no matter the underlying architecture they want to run them on.

Google expanded its Cloud Platform today with a new managed service called Cloud Dataflow that creates data pipelines that can ingest, transform and analyze data. Developers can use the service to ...

Cloud Dataflow fills a major puzzle piece in Google's rapidly evolving and growing cloud stack as the Internet giant continues to challenge Amazon Web Services.

Google on Wednesday launched Cloud Dataflow, a big data analytics service to crunch information in either streaming or batch mode. The announcement, made at Google's I/O keynote in San Francisco ...

The company on Dec. 18 released a Java software development kit for Cloud Dataflow into the open-source community as part of what it described as an effort to spur application development around ...

Google released a beta of its Cloud Dataflow tool for simplifying the creation of big data analytics apps and enhanced the Google Cloud Platform.

In a simple batch processing test, Google Cloud Dataflow beat Apache Spark by a factor of two or more, depending on cluster size ...

Cloud Dataflow allows users to just submit their code, and the service provisions resources, auto-scales and releases those resources when the job is finished.

Google announced earlier this year their Cloud Dataflow, a service and SDK for processing large amounts of data in batches or real time. Now they have open sourced the Dataflow Java SDK, enabling ...

“Cloudera DataFlow automates and manages cloud-native data flows on Kubernetes – and it is something only we offer,” said Dinesh Chandrasekhar, Head of Product Marketing, Data-in-Motion at Cloudera.