Compare - Firebolt VS Google Cloud Dataflow
Here’s the difference between Firebolt and Google Cloud Dataflow. The comparison is based on pricing, deployment, business model, and other important factors.
About Firebolt
Firebolt is the world’s fastest cloud data warehouse, purpose-built for delivering a new grade of analytic experiences over big data. It provides tech companies with a modern data stack, an order of magnitude faster query performance at a fraction of the cost of the alternatives by combining the simplicity, elasticity and low cost of the cloud with the latest innovations in analytics. Engineering teams that adopted Firebolt have been able to deploy data applications and interactive analytics over big data in weeks while delivering sub-second performance at terabyte to petabyte scale.
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 | Data Warehouses | Data Streaming |
| Stage | Early Stage | Late Stage |
| Target Segment | Mid size, Enterprise | Enterprise, Mid size |
| Deployment | SaaS | SaaS |
| Business Model | Commercial | Commercial |
| Pricing | Contact Sales | Freemium |
| Location | Delaware, US | US |
| Companies using it | ||
| Contact info |
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