Compare - Acceldata VS Google Cloud Dataflow
Here’s the difference between Acceldata and Google Cloud Dataflow. The comparison is based on pricing, deployment, business model, and other important factors.
About Acceldata
Acceldata has developed the world's first enterprise Data Observability Cloud to help enterprises build and operate great data products. Our Data Observability Cloud ensures reliability of your pipelines, and provides visibility into your data environments to identify, investigate, prevent, and remediate data.
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 Quality Monitoring | Data Streaming |
| Stage | Early Stage | Late Stage |
| Target Segment | SaaS, On-prem | Enterprise, Mid size |
| Deployment | SaaS | SaaS |
| Business Model | Commercial | Commercial |
| Pricing | Contact Sales | Freemium |
| Location | Campbell, CA USA | US |
| Companies using it | ||
| Contact info |
