What is Datafold?
Datafold is an AI-powered platform designed to automate critical data engineering workflows, helping teams accelerate data platform migrations, ensure code quality, and maintain data integrity. The platform leverages artificial intelligence and machine learning to deeply understand data ecosystems, providing intelligent code translation, automated validation, and comprehensive monitoring solutions.
By integrating with over 50 popular data tools, Datafold offers cross-database data diffing, column-level lineage analysis, and real-time anomaly detection. The platform supports various deployment options including SaaS, dedicated VPC, and customer-hosted VPC, ensuring flexibility and security for enterprise data teams.
Features
- AI Agents: Powerful AI that deeply understands data to accelerate data engineering workflows
- Data Diff: Compare datasets within or across databases with value-level precision at any scale
- Column-Level Lineage: See how data moves and transforms through your data ecosystem from source to end application
- Anomaly Detection: ML-driven monitoring across all dimensions of data quality
- Automatic SQL Conversion: Translate and convert SQL queries with AI-powered migration agents
- Cross-Database Diffing: Comprehensive value-level comparisons of tables across different databases
- CI/CD Integration: Automated testing in continuous integration pipelines with impact analysis
- Monitors-as-Code: Create and manage data monitors using version-controlled YAML
Use Cases
- Data platform migration acceleration from legacy systems to modern data warehouses
- Automated testing and validation of data transformation code changes
- Real-time data quality monitoring and anomaly detection
- Data reconciliation across multiple databases and systems
- Impact analysis for code changes on downstream dependencies
- Schema change detection and alerting
- Data replication testing and validation
- Column-level lineage analysis for data governance
FAQs
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Which databases does Datafold support?
Datafold integrates with SQL and NoSQL databases including Snowflake, Databricks, Google BigQuery, Redshift, Oracle, SQL Server, SAP HANA, Teradata, Postgres, MongoDB, and more. -
What deployment options does Datafold offer?
Datafold offers secure and flexible deployment options including a multi-tenant SaaS deployment, a dedicated VPC, and a customer-hosted VPC option. Custom deployments are also available upon request. -
How does Datafold's pricing work?
Datafold's customized pricing is based on the number of users and tables being monitored and tested. The platform is generally purchased as a comprehensive solution, but specific features like one-time migration conversion or column-level lineage can be purchased separately.
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Datafold Uptime Monitor
Average Uptime
100%
Average Response Time
115.6 ms
