Here’s the difference between Amundsen and Onehouse. The comparison is based on pricing, deployment, business model, and other important factors.
Open-source data discovery and metadata platform. Data engineers and analysts can search for data within the organization by a simple text search and the page rank search algorithm recommends results based on names, descriptions, tags, and querying/viewing activity on the table/dashboard. Also, it allows to build trust in data using automated metadata.
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 | ||
---|---|---|
Categories | Data Discovery, Data Cataloging | Data Lakes |
Stage | Early Stage | Early Stage |
Target Segment | Mid size | SMBs, Mid-size, Enterprise |
Deployment | On Prem | Open source |
Business Model | Open Source | Commercial |
Pricing | Free trial | Conatct Sales |
Location | US | Menlo Park, California |
Companies using it | ||
Contact info |