Here’s the difference between Starburst and Orchest. 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.
Orchest is an open-source, cloud-native, development environment built for data science. Orchest helps you build data pipelines, the easy way. No frameworks. No YAML. Just write Python and R code in notebooks.
Overview | ||
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Categories | Data Lakes, Data Mesh | Workflow Orchestration |
Stage | Mid Stage | Early Stage |
Target Segment | Enterprise, Mid size | Mid Size, Enterprise |
Deployment | SaaS | Open Source |
Business Model | Commercial | Commercial |
Pricing | Contact Sales | Freemium / , Contact Sales |
Location | US | Rotterdam, Netherlands |
Companies using it | ||
Contact info |