Google Managed data processing service
June 20, 2022

Google Managed data processing service

Sathish Palanivel(He/Him) | TrustRadius Reviewer
Score 8 out of 10
Vetted Review
Verified User

Overall Satisfaction with Google Cloud Dataflow

In our company we are using Google Cloud Dataflow to create data pipe lines for data transformation and ingestion use cases before loading data into database. Flexibility to create our own flex templates for any special case handling. Capability to fit streaming and batch data loads are some benefits. We have some real time loads, which Dataflow helps alot.
  • Streaming, Real time work load
  • Batch processing
  • Auto scaling
  • flexible pricing
  • inbuild template options can be expanded
  • more data connector options
  • easy of use
  • cost saving from managing our own data center for ETL servers
  • consumption based pricing
  • with auto scaling feature, we were able to expand components to support work load
Google Cloud Dataproc
Cloud Datafusion

Do you think Google Cloud Dataflow delivers good value for the price?


Are you happy with Google Cloud Dataflow's feature set?


Did Google Cloud Dataflow live up to sales and marketing promises?


Did implementation of Google Cloud Dataflow go as expected?


Would you buy Google Cloud Dataflow again?


Based on my experience, streaming / real time / machine learning / AI type of processing and batch processing which needs less transformation are very well suited. Work load that needs complex transformation / multiple hops gets very complicated to implement. New feature like Dataflow SQL option will come in handy for sql heavy users.

Google Cloud Dataflow Feature Ratings

Real-Time Data Analysis
Data Ingestion from Multiple Data Sources
Low Latency
Linear Scale-Out
Machine Learning Automation
Data Enrichment