Here’s the difference between Great Expectations and Databand. 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.
Databand is a provider of cloud and AI based data observability solutions. It provides an AI platform for unified data pipeline monitoring. It allows data scientists, data engineers, and data analysts to build, manage and optimize their processes for model training, experimentation, testing, and deployment. It is saturated with DataOps in providing automation and integration solutions through a pipeline framework for machine learning and iterative data products.
|Categories||Data Quality Monitoring||Data Quality Monitoring|
|Stage||Early Stage||Early Stage|
|Target Segment||Mid size||Mid size, Enterprise|
|Business Model||Open Source||Commercial|
|Location||California, US||New York, US|
|Companies using it|