Here’s the difference between Starburst and Lightdash. The comparison is based on pricing, deployment, business model, and other important factors.
Starburst queries data across any database, making it instantly actionable for data-driven organizations. With Starburst, teams can lower the total cost of their infrastructure and analytics investments, prevent vendor lock-in, and use the existing tools that work for their business. Trusted by companies like Comcast, FINRA, and Condé Nast, Starburst helps companies make better decisions faster on all data.
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 Lakes, Data Mesh||Metrics Store, Business Intelligence (BI)|
|Stage||Mid Stage||Early Stage|
|Target Segment||Enterprise, Mid size||Mid size, SMBs|
|Business Model||Commercial||Open Source|
|Companies using it|