Compare - Sigma VS Google Cloud Dataflow
Here’s the difference between Sigma and Google Cloud Dataflow. The comparison is based on pricing, deployment, business model, and other important factors.
About Sigma
Sigma computing offers a data discovery platform to users for querying data from their warehouses. Compatible with multiple data warehouses including Snowflake, Google BigQuery, and Amazon Redshift. Users can build queries for extracting data through its visual interface and excel-like formulae.
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 | Business Intelligence (BI), Spreadsheet based BI | Data Streaming |
| Stage | Mid Stage | Late Stage |
| Target Segment | Enterprise, Mid size | Enterprise, Mid size |
| Deployment | SaaS | SaaS |
| Business Model | Commercial | Commercial |
| Pricing | Free trial | Freemium |
| Location | California, US | US |
| Companies using it | ||
| Contact info |
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