Here’s the difference between Sifflet and Onehouse. The comparison is based on pricing, deployment, business model, and other important factors.
You make important business decision based on data. Sifflet ensures the data is reliable, traceable and easy to navigate.
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 Quality Monitoring | 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 | Custom, Usage based | Conatct Sales |
Location | Paris, France | Menlo Park, California |
Companies using it | ||
Contact info |