Here’s the difference between Keboola and Onehouse. 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.
Onehouse delivers a new bedrock for your data, through a cloud-native managed lakehouse service built on Apache Hudi, which was created by the founding team while they were at Uber. Onehouse makes it possible to blend the ease of use of a warehouse with the scale of a data lake, by offering a seamless experience for engineers to get their data lakes up and running.
Overview | ||
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Categories | Data Workspace/ Collaboration, Managed Data Stack | Data Lakes |
Stage | Late Stage | Early Stage |
Target Segment | Mid size, Enterprise | SMBs, Mid-size, Enterprise |
Deployment | SaaS | Open source |
Business Model | Commercial | Commercial |
Pricing | Freemium, Contact Sales | Conatct Sales |
Location | US | Menlo Park, California |
Companies using it | ||
Contact info |