Google Cloud Dataflow

Cloud Dataflow is a fully-managed service for transforming and enriching data in stream (real time) and batch (historical) modes with equal reliability and expressiveness.

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8.2/10 (Expert Score) ★★★★★
Product is rated as #36 in category Big Data Processing and Distribution Software
Ease of use
8.0
Support
8.1
Ease of Setup
7.4

Cloud Dataflow is a fully-managed service for transforming and enriching data in stream (real time) and batch (historical) modes with equal reliability and expressiveness — no more complex workarounds or compromises needed. And with its serverless approach to resource provisioning and management, you have access to virtually limitless capacity to solve your biggest data processing challenges, while paying only for what you use.

Google Cloud Dataflow
Google Cloud Dataflow

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Customer Reviews

Google Cloud Dataflow Reviews

Consultant in Airlines/Aviation

Advanced user of Google Cloud Dataflow
★★★★★
Great tool to build both Batch and Stream BigData pipelines

What do you like best?

This tool based on well known Apache Beam framework and can be locally or on internal GCP runner in GCP cloud. Has a great set of instruments to work with Stream data and Batch data in very fast manner.

It is very easy to run pipeline and track progress of the job. Much more powerful and easy than Dataproc with native Spark.

What do you dislike?

Not so clear documentation. You should practice a lot with that to pick up configuration for your particular case.

Recommendations to others considering the product:

You should definitely consider this tool in cases of BigData processing. You will have single tool for both Stream and Batch data pipelines

What problems are you solving with the product? What benefits have you realized?

Processing huge number of JSON data both as Stream and Batch data pipelines

Review source: G2.com

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