Here’s the difference between Snowflake and Keboola. 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.
Keboola Connection provides a cloud based staging layer to mash up data from various sources including social networks, web services, internal databases, etc.. Users can display it in Tableau or GoodData. The platform is fully extensible by third parties in all layers. Platform capabilities includes a cloud ETL layer that uses SQLDEP for easy orientation in large SQL queries. Access your own sandboxes for quick adjustments and apps to reduce repetitive tasks. Users can use SQL or R as the blending language.
Overview | ||
---|---|---|
Categories | Data Warehouses | Data Workspace/ Collaboration, Managed Data Stack |
Stage | Late Stage | Late Stage |
Target Segment | Enterprise, Mid size | Mid size, Enterprise |
Deployment | SaaS | SaaS |
Business Model | Commercial | Commercial |
Pricing | Contact Sales | Freemium, Contact Sales |
Location | California, US | US |
Companies using it | ||
Contact info |