Here’s the difference between Keboola and Google BigQuery. The comparison is based on pricing, deployment, business model, and other important factors.
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.
BigQuery is a fully-managed, serverless data warehouse that enables scalable analysis over petabytes of data. It is a Platform as a Service that supports querying using ANSI SQL. It also has built-in machine learning capabilities. BigQuery was announced in May 2010 and made generally available in November 2011.
Overview | ||
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Categories | Data Workspace/ Collaboration, Managed Data Stack | Data Warehouses |
Stage | Late Stage | Late Stage |
Target Segment | Mid size, Enterprise | Enterprise, Mid size |
Deployment | SaaS | SaaS |
Business Model | Commercial | Commercial |
Pricing | Freemium, Contact Sales | Contact Sales |
Location | US | US |
Companies using it | ||
Contact info |