Overview
Great Expectations (GX) is the leading technical framework for defining, managing, and maintaining data quality across modern data architectures. In 2026, GX remains the cornerstone of the 'Data-as-Code' movement, providing a declarative syntax (Expectations) to define unit tests for data. Its architecture separates validation logic from the compute engine, allowing it to execute seamlessly across Pandas, Spark, and SQL-based environments like Snowflake, BigQuery, and Databricks. GX Cloud, the enterprise SaaS offering, enhances the open-source core by providing centralized management, team collaboration workflows, and native integrations with observability stacks. The tool's unique 'Data Docs' feature automatically generates human-readable documentation from validation results, ensuring that data contracts are transparent and audit-ready. For 2026, GX has expanded its capabilities into LLM evaluation, providing frameworks to validate unstructured data inputs and outputs in RAG (Retrieval-Augmented Generation) pipelines, securing its position as an essential tool for both traditional BI and advanced AI infrastructures.