Great Expectations is a software development company focused on empowering data teams to ensure and maintain data quality throughout their data pipelines. The company offers tools designed to validate, test, and manage data quality, enabling teams to have greater confidence in their data assets.
Their core offerings include:
- GX Cloud: An end-to-end, fully managed SaaS platform for orchestrating the data quality process. GX Cloud allows data teams to work efficiently, collaborate on data quality initiatives, and maintain transparency over expectations and results.
- GX Core: An open source Python framework recognized as the world's most popular data quality solution. At its core are 'Expectations'—verifiable assertions about datasets that function as clear, expressive, and automated data quality tests.
Great Expectations addresses the core problem of data reliability and trust within modern organizations, providing both managed and open source solutions that help teams communicate about data quality and take corrective actions as needed. Their tools are used to automate data validation, reduce risks associated with poor-quality data, and support collaborative workflows among technical and business stakeholders.
How Was Great Expectations Started?
Great Expectations was founded by Abe Gong and James Campbell, with the goal of giving data teams practical tools to trust and verify their data. The leadership team includes:
- Abe Gong: Founder and Executive Chair
- James Campbell: Founder and Strategic Advisor
- Hernan Alvarez: CEO
- Amanda Bradshaw: Head of People
- André Bearfield: Vice President, Product
Their backgrounds span data engineering, product management, and organizational leadership, helping to shape the company’s focus on both technical excellence and collaborative processes.
Who Uses Great Expectations?
Great Expectations' solutions are designed for data teams, data engineers, and analytics professionals within organizations seeking to maintain data quality and reliability. While specific customer names are not listed, the platform is widely adopted in the data engineering and analytics community, particularly among businesses that rely on robust data operations and need automated, repeatable data quality checks.
What Makes Great Expectations Unique?
Great Expectations stands out for its open source roots and its focus on 'Expectations' as a way to create transparent, verifiable data quality tests. The dual offering of GX Core (open source) and GX Cloud (managed SaaS) allows organizations to choose the approach that best fits their needs. The collaborative features and integration flexibility also make it a popular choice for teams looking to scale data quality management across complex data environments.
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