Compare - Redpanda VS Google Cloud Dataflow
Here’s the difference between Redpanda and Google Cloud Dataflow. The comparison is based on pricing, deployment, business model, and other important factors.
About Redpanda
Redpanda is the modern streaming data platform for developers. API-compatible with Apache Kafka, the product has a breakthrough architecture with 10x lower latencies, single binary deployment with built-in features, and tiered storage in the cloud with a unified streaming API. Redpanda offers a free community edition and commercial options for both self-hosted and SaaS.
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 Streaming | Data Streaming |
| Stage | Mid Stage | Late Stage |
| Target Segment | Enterprise, Mid size | Enterprise, Mid size |
| Deployment | SaaSOn Prem | SaaS |
| Business Model | Commercial | Commercial |
| Pricing | Contact Sales | Freemium |
| Location | California, US | US |
| Companies using it | ||
| Contact info |
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