Here’s the difference between Great Expectations and Lightdash. 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.
Lightdash removes the gap between your data transformation layer and your data visualization layer. It enables data analysts and engineers to control all of their business intelligence (data transformations/business logic as well as data visualization) in a single place. Lightdash integrates with your dbt project and gives a framework for defining metrics and specifying joins between models all within your existing dbt YAML files. The data output from your dbt project is then available for exploring and sharing in Lightdash.
|Categories||Data Quality Monitoring||Metrics Store, Business Intelligence (BI)|
|Stage||Early Stage||Early Stage|
|Target Segment||Mid size||Mid size, SMBs|
|Deployment||On Prem||Open source|
|Business Model||Open Source||Open Source|
|Companies using it|