Compare - Hevo Data VS Google Cloud Dataflow
Here’s the difference between Hevo Data and Google Cloud Dataflow. The comparison is based on pricing, deployment, business model, and other important factors.
About Hevo Data
Hevo is a cloud based automated data pipeline preparation solution. It connects to the source and uses the transformation code to transfer data to the warehouse. Features include automatic detection and handling of the schema change, real-time alerts & notifications on the data pipeline, zero data loss, joining tables, and writing queries, integration with technology stacks, etc.
About Google Cloud Dataflow
Google Cloud Dataflow is a cloud-based data processing service for both batch and real-time data streaming applications. It enables developers to set up processing pipelines for integrating, preparing and analyzing large data sets, such as those found in Web analytics or big data analytics applications. The Cloud Dataflow software expands on earlier Google parallel processing projects, including MapReduce, which originated at the company. Cloud Dataflow is designed to bring to entire analytics pipelines the style of fast parallel execution that MapReduce brought to a single type of computational sort for batch processing jobs.
Comparison Table
| Overview | ||
|---|---|---|
| Categories | ETL Tools | Data Streaming |
| Stage | Mid Stage | Late Stage |
| Target Segment | Enterprise, Mid size | Enterprise, Mid size |
| Deployment | SaaS | SaaS |
| Business Model | Commercial | Commercial |
| Pricing | Freemium | Freemium |
| Location | California, US | US |
| Companies using it | ||
| Contact info |
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