Compare - Google Cloud Dataflow VS DoubleCloud
Here’s the difference between Google Cloud Dataflow and DoubleCloud. 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 DoubleCloud
DoubleCloud is a platform that helps organizations build cost-effective sub-second analytical applications on tightly integrated and proven open-source technologies like ClickHouse, Kafka and other. It created a data platform specifically to help any business build an end-to-end data stack and near real-time analytics with fully managed opensource technologies.
Comparison Table
| Overview | ||
|---|---|---|
| Categories | Data Streaming | Managed Data Stack |
| Stage | Late Stage | Early Stage |
| Target Segment | Enterprise, Mid size | SMB's, Mid-Size |
| Deployment | SaaS | SaaS |
| Business Model | Commercial | Commercial |
| Pricing | Freemium | Free Trial, Contact Sales |
| Location | US | Berlin |
| Companies using it | ||
| Contact info |
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