Here’s the difference between Flyte and Great Expectations. The comparison is based on pricing, deployment, business model, and other important factors.
Flyte provides a cloud-based machine learning and data processing platform. The open source structured programming and distributed solution enables concurrent, scalable and maintainable workflows for machine learning and data processing. Uses protocol buffers as the specification language to specify these workflows and tasks.
Great Expectations provides open-source enterprise data management solutions. It helps data teams eliminate pipeline debt, through data testing, documentation, and profiling. It maintains up-to-date data documentation by rendering expectations directly into clean, human-readable documentation. Users can join to GitHub and Slack community groups.
Overview | ||
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Categories | Workflow Orchestration | Data Quality Monitoring |
Stage | Early Stage | Early Stage |
Target Segment | Mid size | Mid size |
Deployment | On Prem | On Prem |
Business Model | Open Source | Open Source |
Pricing | Freemium | Freemium |
Location | US | California, US |
Companies using it | ||
Contact info |