Great Expectations
FundedEnsure data trust and quality across complex modern data pipelines
About Great Expectations
Great Expectations provides a comprehensive data quality and observability platform designed to help enterprise data teams validate, monitor, and govern their data effectively. The platform enables early detection of data issues, ensuring that data pipelines remain reliable and stakeholders stay aligned. It supports the entire data lifecycle by integrating seamlessly with existing data stacks and workflows, allowing teams to catch data problems during development, before data moves downstream, and in production environments.
Built on an open-source core framework, Great Expectations offers a flexible, Python-based solution that empowers technical teams to write custom data quality tests reflecting business logic. Its cloud-based GX Cloud platform delivers scalability without infrastructure management, real-time data health monitoring, automated test generation, and collaboration tools to bridge technical and business teams. This solution is particularly suited for large enterprises requiring robust data governance, quality assurance, and trust in AI-driven decision-making.
Key Capabilities
- ✓Automated data quality test generation with ExpectAI
- ✓Real-time data health monitoring and alerting
- ✓Integration with existing data pipelines and CI/CD workflows
- ✓Collaboration tools for technical and business teams
- ✓Flexible Python-based data validation framework
Integrations
Other Data & Analytics Vendors
View allRelated Buyer Guides
Independent evaluation frameworks for this category.
This profile was compiled by CIOPages from public sources with AI assistance, and may be incomplete or out of date. It is informational only and not an endorsement. Represent this vendor? or .