Datafold

Founded by Gleb Mezhanskiy

Automate database migrations and test data quality across your pipelines and warehouses

Pricing model

Paid

Rating

★ Positive

Time to value

Immediate

You can use Datafold to automate data warehouse migrations, verify code changes, and test data pipelines before pushing them to production. It compares data across sources using automated data diffing to spot discrepancies in tables, schemas, and metrics. Datafold builds a data knowledge graph that tracks lineage and business logic, giving context to developers and AI coding agents. You can also monitor ongoing data quality, prevent broken dashboard reports, and validate complex SQL transformations across environments like Snowflake, Redshift, and Databricks with complete confidence.

What Datafold does

Diff tables across staging and production databasesValidate SQL code translation accuracy during migrationsInspect column-level lineage across data modelsRun automated regression tests on CI/CD pipelinesExpose data context to coding agents via MCPTrack metric consistency between legacy and modern databasesCompares data across databases using automated table diffingTranslates SQL code automatically during cloud data warehouse migrationsMaintains an enterprise data knowledge graph with full column-level lineageTests pull requests directly in CI/CD pipelines before deploymentConnects with AI coding agents using the Model Context ProtocolDeploys directly inside your private cloud environment for strict security

Pricing breakdown

Pricing model: Paid

Frequently asked

Snowflake

Databricks AWS

AWS

Microsoft Azure

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