Compare - Rivery.io VS Google Cloud Dataflow
Here’s the difference between Rivery.io and Google Cloud Dataflow. The comparison is based on pricing, deployment, business model, and other important factors.
About Rivery.io
Rivery offers a cloud based data pipeline preparation tool. The platform can be used to collect data from various enterprise data sources such as Salesforce, Google Adwords, AppNexus, MySQL, OpenX, MongoDB, Oracle, Google Analytics. The platform can also collect streaming data, process the data, and persist into databases such as HDFS or Bigtable.
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 Modelling and Transformation, ETL Tools, Workflow Orchestration | Data Streaming |
| Stage | Mid Stage | Late Stage |
| Target Segment | Mid size, Enterprise | Enterprise, Mid size |
| Deployment | SaaS | SaaS |
| Business Model | Commercial | Commercial |
| Pricing | Free trial, Contact Sales | Freemium |
| Location | New York, US | US |
| Companies using it |  | |
| Contact info |
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