Here’s the difference between Datalogz and Onehouse. The comparison is based on pricing, deployment, business model, and other important factors.
A data collaboration tool that allows users to centralize data dictionaries, ask questions regarding essential data knowledge, clarify user hierarchy, and share analytics.
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 Discovery | Data Lakes |
Stage | Early Stage | Early Stage |
Target Segment | Mid- size, Enterprise | SMBs, Mid-size, Enterprise |
Deployment | SaaS | Open source |
Business Model | Commercial | Commercial |
Pricing | Contact sales | Conatct Sales |
Location | New York City | Menlo Park, California |
Companies using it | ||
Contact info |