Compare - Google Cloud Dataflow VS Acho
Here’s the difference between Google Cloud Dataflow and Acho. 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 Acho
Acho offers a cloud-based data warehouse solution. It offers a solution where the data can be compiled, engineered, and shared within the team without coding. It also enables the users to transform data resources into assets with a point-and-click interface and tools such as annotations, worklog, and visualizations. Some of the features include network visibility, privilege separation, data encryption, etc.
Comparison Table
| Overview | ||
|---|---|---|
| Categories | Data Streaming | Operational Analytics , Business Intelligence (BI) |
| Stage | Late Stage | Early Stage |
| Target Segment | Enterprise, Mid size | Mid size, Enterprise |
| Deployment | SaaS | SaaS |
| Business Model | Commercial | Commercial |
| Pricing | Freemium | Contact Sales, Free trial |
| Location | US | Boston, US |
| Companies using it | ||
| Contact info |
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