Here’s the difference between GoodData and Great Expectations. The comparison is based on pricing, deployment, business model, and other important factors.
GoodData is a multi-tenant, composable data and analytics platform that can be run in a public or private cloud, allowing you to build rich analytics for your end users (e.g., employees, customers, or business partners). GoodData provides self-service analytics, low-code/no-code interfaces, embeddable data visualization, and application integration. The platform also offers a robust end-to-end pipeline, including data ingestion, preparation, and transformations.
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 | Business Intelligence (BI), Metrics Store | Data Quality Monitoring |
Stage | Late Stage | Early Stage |
Target Segment | Mid size, Enterprise | Mid size |
Deployment | SaaS | On Prem |
Business Model | Commercial | Open Source |
Pricing | Freemium | Freemium |
Location | San Francisco, U.S | California, US |
Companies using it | ||
Contact info |