Here’s the difference between Lightdash and Databand. The comparison is based on pricing, deployment, business model, and other important factors.
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.
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||Metrics Store, Business Intelligence (BI)||Data Quality Monitoring|
|Stage||Early Stage||Early Stage|
|Target Segment||Mid size, SMBs||Mid size, Enterprise|
|Business Model||Open Source||Commercial|
|Location||UK||New York, US|
|Companies using it|