Compare - Google Cloud Dataflow VS Astrato
Here’s the difference between Google Cloud Dataflow and Astrato. 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 Astrato
Astrato is a flexible data layer designed to enable everyone, everywhere to make live data decisions. With direct query access to Snowflake’s data cloud, Astrato unlocks insights across your organisation and provides a creator-centric layer for your data visualisation.
Comparison Table
| Overview | ||
|---|---|---|
| Categories | Data Streaming | Business Intelligence (BI) |
| Stage | Late Stage | Early Stage |
| Target Segment | Enterprise, Mid size | SMBs, Mid-Size, Enterprise |
| Deployment | SaaS | SaaS |
| Business Model | Commercial | Commercial |
| Pricing | Freemium | Freemium, Contact Sales |
| Location | US | London |
| Companies using it |  | |
| Contact info |
Add to compare
