Here’s the difference between Great Expectations and Onehouse. The comparison is based on pricing, deployment, business model, and other important factors.
Great Expectations provides open-source enterprise data management solutions. It helps data teams eliminate pipeline debt, through data testing, documentation, and profiling. It maintains up-to-date data documentation by rendering expectations directly into clean, human-readable documentation. Users can join to GitHub and Slack community groups.
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.
|Categories||Data Quality Monitoring||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|
|Location||California, US||Menlo Park, California|
|Companies using it|