Here’s the difference between Great Expectations and Preset. 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.
Preset provides data analytics platform for teams. It is an open-source platform that allows users to analyze and provides actionable insights about the data. Its products include Superset that enables visualize data and build dashboards to interpret and show hidden patterns from the data. It enables users to share reports and insights with teams and explore data analytics solutions. It can be integrated with Amazon RedShift, Google BigQuery, Presto and Druid.
|Categories||Data Quality Monitoring||Business Intelligence (BI)|
|Stage||Early Stage||Early Stage|
|Target Segment||Mid size||Mid size|
|Business Model||Open Source||Commercial|
|Location||California, US||California, US|
|Companies using it|