Compare - Google Cloud Dataflow VS Debezium
Here’s the difference between Google Cloud Dataflow and Debezium. 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 Debezium
Debezium is an open source distributed platform for change data capture. Start it up, point it at databases, and apps can start responding to all of the inserts, updates, and deletes that other apps commit to databases. Debezium is durable and fast, so apps can respond quickly and never miss an event, even when things go wrong.
Comparison Table
| Overview | ||
|---|---|---|
| Categories | Data Streaming | Change Data Capture |
| Stage | Late Stage | Late Stage |
| Target Segment | Enterprise, Mid size | Mid size |
| Deployment | SaaS | Open source |
| Business Model | Commercial | Open Source |
| Pricing | Freemium | Freemium |
| Location | US | US |
| Companies using it | ||
| Contact info |
Add to compare
