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Grai

Grai is an open-source data observability platform designed to prevent production data outages by evaluating changes to data pipelines during CI, before deployment. It builds a graph of relationships between data entities, enabling impact analysis of changes across the data stack. With pre-built integrations for PostgreSQL, Snowflake, dbt, and Fivetran, Grai automatically extracts metadata and synchronizes a flexible data lineage graph. It offers REST and GraphQL APIs, a Python client library, and customizable YAML-based data models, allowing users to build custom solutions. Grai supports visualization of data flows with an interactive graph, improving onboarding and understanding of complex data dependencies. It emphasizes developer-first design, customizability, and maintaining feature parity between cloud and self-hosted deployments.

platform:web pricing:source-available form:saas form:self-hosted form:api feature:ci-integration feature:data-lineage feature:impact-analysis feature:customizable feature:graph-visualization integration:postgresql integration:snowflake integration:dbt integration:fivetran target:developers target:data-engineers use-case:data-quality use-case:data-monitoring use-case:data-pipeline-testing

About Grai

Grai is an open-source data observability platform designed to prevent production data outages by evaluating changes to data pipelines during CI, before deployment. It builds a graph of relationships between data entities, enabling impact analysis of changes across the data stack. With pre-built integrations for PostgreSQL, Snowflake, dbt, and Fivetran, Grai automatically extracts metadata and synchronizes a flexible data lineage graph. It offers REST and GraphQL APIs, a Python client library, and customizable YAML-based data models, allowing users to build custom solutions. Grai supports visualization of data flows with an interactive graph, improving onboarding and understanding of complex data dependencies. It emphasizes developer-first design, customizability, and maintaining feature parity between cloud and self-hosted deployments.

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