Here’s the difference between Hevo Data and Onehouse. The comparison is based on pricing, deployment, business model, and other important factors.
Hevo is a cloud based automated data pipeline preparation solution. It connects to the source and uses the transformation code to transfer data to the warehouse. Features include automatic detection and handling of the schema change, real-time alerts & notifications on the data pipeline, zero data loss, joining tables, and writing queries, integration with technology stacks, etc.
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 | ETL Tools | Data Lakes |
Stage | Mid Stage | Early Stage |
Target Segment | Enterprise, Mid size | SMBs, Mid-size, Enterprise |
Deployment | SaaS | Open source |
Business Model | Commercial | Commercial |
Pricing | Freemium | Conatct Sales |
Location | California, US | Menlo Park, California |
Companies using it | ||
Contact info |