Here’s the difference between Snowflake and Cube. The comparison is based on pricing, deployment, business model, and other important factors.
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.
Cube is the headless business intelligence platform for accessing data from modern data stores, organizing it into consistent definitions, and delivering it to every application. Cube works with all kinds of data sources and delivers data to any BI tool or data app.
|Categories||Data Warehouses||Metrics Store|
|Stage||Late Stage||Mid Stage|
|Target Segment||Enterprise, Mid size||Mid size, Enterprise|
|Business Model||Commercial||Open Source, Commercial|
|Location||California, US||San Francisco|
|Companies using it|