Compare - Google Cloud Dataflow VS Estuary
Here’s the difference between Google Cloud Dataflow and Estuary. The comparison is based on pricing, deployment, business model, and other important factors.
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.
About Estuary
Estuary helps organizations gain real-time access to their data without having to manage infrastructure. Capture data from SaaS or technology sources, transform it and materialize it back into the same types of systems all with millisecond latency.
Comparison Table
| Overview | ||
|---|---|---|
| Categories | Data Streaming | ETL Tools |
| Stage | Late Stage | Early Stage |
| Target Segment | Enterprise, Mid size | Mid Size, Enterprise |
| Deployment | SaaS | SaaS |
| Business Model | Commercial | Commercial |
| Pricing | Freemium | Contact Sales |
| Location | US | New York, US |
| Companies using it | ||
| Contact info |
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