Here’s the difference between Sigma and Apache Spark. The comparison is based on pricing, deployment, business model, and other important factors.
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.
Apache Spark is an open-source unified analytics engine for large-scale data processing. Spark provides an interface for programming entire clusters with implicit data parallelism and fault tolerance.
Overview | ||
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Categories | Business Intelligence (BI), Spreadsheet based BI | Data Modelling and Transformation |
Stage | Mid Stage | Late Stage |
Target Segment | Enterprise, Mid size | Mid Size, Enterprise |
Deployment | SaaS | On Prem |
Business Model | Commercial | Open Source |
Pricing | Free trial | Freemium |
Location | California, US | US |
Companies using it | ||
Contact info |