Compare - Google Cloud Dataflow VS Avo
Here’s the difference between Google Cloud Dataflow and Avo. 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 Avo
Avo is a next-generation analytics governance tool improving how product managers, developers, and data teams plan, track, and govern product analytics across organizations. Avos tracking plan interface lets teams standardize event schemas, branched workflows and peer reviews keep stakeholders informed, and type safe analytics code and debuggers make implementation faster than ever. Avo works seamlessly with existing analytics tooling so teams can ship faster without compromising data quality.
Comparison Table
| Overview | ||
|---|---|---|
| Categories | Data Streaming | Data Privacy and Governance, Product Analytics |
| Stage | Late Stage | Early Stage |
| Target Segment | Enterprise, Mid size | Enterprise, Mid size |
| Deployment | SaaS | SaaS |
| Business Model | Commercial | Commercial |
| Pricing | Freemium | Freemium, Contact Sales |
| Location | US | San Francisco |
| Companies using it | ||
| Contact info |
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