Here’s the difference between Meltano and Orchest. The comparison is based on pricing, deployment, business model, and other important factors.
Provider of open-source extract, load and transform pipelines for DataOps. It is a directory with text-based files and features such as tracking of incremental replication rate, data loading into data warehouses, UI for management and monitoring, as well as data extraction from multiple data sources.
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 | ETL Tools | Workflow Orchestration |
Stage | Early Stage | Early Stage |
Target Segment | Mid size, Enterprise | Mid Size, Enterprise |
Deployment | Open source | Open Source |
Business Model | Open Source | Commercial |
Pricing | Freemium | Freemium / , Contact Sales |
Location | US | Rotterdam, Netherlands |
Companies using it | ||
Contact info |