Here’s the difference between Great Expectations and Apache Spark. The comparison is based on pricing, deployment, business model, and other important factors.
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.
Apache Spark is an open-source unified analytics engine for large-scale data processing. Spark provides an interface for programming entire clusters with implicit data parallelism and fault tolerance.
Overview | ||
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Categories | Data Quality Monitoring | Data Modelling and Transformation |
Stage | Early Stage | Late Stage |
Target Segment | Mid size | Mid Size, Enterprise |
Deployment | On Prem | On Prem |
Business Model | Open Source | Open Source |
Pricing | Freemium | Freemium |
Location | California, US | US |
Companies using it | ||
Contact info |