Here’s the difference between Datafold and Kestra. The comparison is based on pricing, deployment, business model, and other important factors.
Datafold offers a cloud-based quality assurance & monitoring solution for analytical data. The solution enables the users to automate the quality assurance of analytical data. It verifies the data to prevent data corruption every time a developer makes a change that impacts the data in production. It also provides integration over PostgreSQL, etc.
Kestra is an infinitely scalable orchestration and scheduling platform, creating, running, scheduling, and monitoring millions of complex pipelines.
Overview | ||
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Categories | Data Quality Monitoring | Workflow Orchestration |
Stage | Early Stage | Early Stage |
Target Segment | Enterprise, Mid size | SMBs, Mid-size, Enterprise |
Deployment | SaaS | Open source |
Business Model | Commercial | Open Source |
Pricing | Freemium | Contact Sales, Freemium |
Location | California, US | Lille, Nord |
Companies using it | ||
Contact info |