Here’s the difference between Sigma and Snowflake. 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.
Snowflake delivers the Data Cloud — a global network where thousands of organizations mobilize data with near-unlimited scale, concurrency, and performance. Inside the Data Cloud, organizations unite their siloed data, easily discover and securely share governed data, and execute diverse analytic workloads. Wherever data or users live, Snowflake delivers a single and seamless experience across multiple public clouds. Snowflake’s platform is the engine that powers and provides access to the Data Cloud, creating a solution for data warehousing, data lakes, data engineering, data science, data application development, and data sharing.
Overview | ||
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Categories | Business Intelligence (BI), Spreadsheet based BI | Data Warehouses |
Stage | Mid Stage | Late Stage |
Target Segment | Enterprise, Mid size | Enterprise, Mid size |
Deployment | SaaS | SaaS |
Business Model | Commercial | Commercial |
Pricing | Free trial | Contact Sales |
Location | California, US | California, US |
Companies using it | ||
Contact info |