Here’s the difference between Snowflake and Continual. 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.
Continual is the missing AI layer for the modern data stack. Get continually improving predictions – from customer churn to inventory forecasts – directly in your data warehouse. No complex engineering required.
|Categories||Data Warehouses||Feature Store|
|Stage||Late Stage||Early Stage|
|Target Segment||Enterprise, Mid size||Mid size, Enterprise|
|Pricing||Contact Sales||Contact Sales|
|Location||California, US||San Francisco, California|
|Companies using it|