Here’s the difference between Streamlit and Onehouse. The comparison is based on pricing, deployment, business model, and other important factors.
The fastest way to build and deploy data apps. Streamlit is the first app framework built specifically for Machine Learning and Data Science teams.
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 Apps | Data Lakes |
Stage | Early Stage | Early Stage |
Target Segment | Mid size, Enterprise | SMBs, Mid-size, Enterprise |
Deployment | Open Source | Open source |
Business Model | Commercial | Commercial |
Pricing | Free Trial | Conatct Sales |
Location | San Francisco, California, United States | Menlo Park, California |
Companies using it | ||
Contact info |