What is Google Cloud Data Fusion?
Who uses Google Cloud Data Fusion?
Here are some stack decisions, common use cases and reviews by companies and developers who chose Google Cloud Data Fusion in their tech stack.
I am currently launching 50 pipelines in a Google Cloud Data Fusion version 6.4 instance. These pipelines are launched daily and transport data from a MySQLServer database to Google BigQuery. The cost is becoming very high and I was wondering if the costs with Google Cloud Dataflow decrease for the same rows transported.
Will Dataflow be the right replacement for AWS Glue? Are there any unforeseen exceptions like certain proprietary transformations not supported in Google Cloud Dataflow, connectors ecosystem, Data Quality & Date cleansing not supported in DataFlow. etc?
Also, how about Google Cloud Data Fusion as a replacement? In terms of No Code/Low code .. (Since basic use cases in Glue support UI, in that case, CDF may be the right choice ).
What would be the best choice?
Google Cloud Data Fusion's Features
- Code-free self-service
- Collaborative data engineering
- Enterprise-grade security
- Integration metadata and lineage
- Seamless operations
- Comprehensive integration toolkit
- Hybrid enablement