Google Cloud Dataflow Features

Collects, stores, and organizes massive, unstructured data in real time This feature was mentioned in 11 Google Cloud Dataflow reviews.

Facilitates the disseminating of collected big data throughout parallel computing clusters 11 reviewers of Google Cloud Dataflow have provided feedback on this feature.

Creates a repository to collect and store raw data from sensors, devices, machines, files, etc. 10 reviewers of Google Cloud Dataflow have provided feedback on this feature.

Aligns processing and distribution workflows on top of Apache Hadoop

Aligns processing and distribution workflows on top of Apache Hadoop

Based on 11 Google Cloud Dataflow reviews. Facilitates solution to run on and scale to a large number of machines and systems

Curates collected data for big data analytics solutions to analyze, manipulate, and model This feature was mentioned in 12 Google Cloud Dataflow reviews.

Aligns processing and distribution workflows on top of Apache Hadoop

As reported in 12 Google Cloud Dataflow reviews. Moves big data collection and processing to the cloud

Processes batch, real-time, and streaming data workloads in singular, multi-tenant, or cloud systems 10 reviewers of Google Cloud Dataflow have provided feedback on this feature.

The ability to process large amounts of data.

The ability to process data from a wide variety of sources and formats.

The ability to work seamlessly with another software platform.

Processing data from a variety of sources in real time as it arrives.

Tools to visualize and analyze data.