Datafold
Datafold is an AI-powered data engineering automation platform that provides AI agents for guaranteed-outcome data platform migrations, a Data Knowledge Graph context layer, and cross-database data diffing for enterprise data teams.
- Company typePrivate
- Founded2017
- HeadquartersSan Francisco, United States
- Headcount11–50
- GTM typeB2B
- OfferingSoftware
What Datafold does
Datafold, Inc. is a venture-backed, AI-powered data engineering automation platform headquartered in San Francisco and operating as an all-remote team of 11-50 employees. Founded in 2017 by Gleb Mezhanskiy (former Lyft data engineer) and backed by Y Combinator, NEA, and Amplify Partners, the company has raised approximately $26.1M in total disclosed funding across a seed round, a $20M Series A in 2021, and an additional ~$4M in May 2025. Datafold serves enterprise data and analytics teams at companies including Disney, Databricks, Moody's, AstraZeneca, Deloitte, FanDuel, Perplexity, Rocket Companies, Faire, Eventbrite, and CHG Healthcare.
The platform combines specialized AI agents with a context layer called the Data Knowledge Graph and a suite of data quality tools. The Migration Agent uses LLMs with validation-driven feedback loops to translate SQL across databases (Snowflake, Databricks, BigQuery, Redshift, Oracle, MySQL, PostgreSQL, Presto, and others) and continuously refine translated code until achieving parity. The Data Knowledge Graph, currently in private beta, unifies lineage, business logic, usage statistics, BI connections, git history, and organizational knowledge, and exposes this context to AI coding agents via the Model Context Protocol (MCP). Supporting capabilities include cross-database value-level Data Diff, ML-driven anomaly detection, CI/CD testing for dbt Core/Cloud via GitHub Actions, GitLab CI, and CircleCI, and AI-powered code reviews.
Datafold operates on a SaaS subscription model with annual, non-cancelable, non-refundable contracts and offers single-tenant/VPC deployment for security-conscious customers. Pricing is quote-based, with migrations sold as guaranteed-outcome engagements on price, timeline, and data parity. Distribution combines a direct enterprise field-sales motion (demo-led, solution selling) with self-service listings on AWS, Azure, and Google Cloud Marketplaces. The company maintains SOC 2 Type II, HIPAA, and GDPR compliance, and holds Snowflake Select Tier Partner status and exclusive membership in the Databricks Delivery Provider Program.
Datafold firmographics
Firmographics- Name
- Datafold
- Legal name
- Datafold, Inc.
- Website
- https://datafold.com
- Company type
- Private
- Founded year
- 2017
- Operating status
- Operating
- Headcount range
- 11–50 employees
- Short description
- Datafold is an AI-powered data engineering automation platform that provides AI agents for guaranteed-outcome data platform migrations, a Data Knowledge Graph context layer, and cross-database data diffing for enterprise data teams.
- Ownership category
- akta.pro rank
Datafold industry classification
Industry- NAICS
- Software Publishers (5132), Software Publishers (513210), Custom Computer Programming Services (541511)
- SIC
- Services-Computer Programming, Data Processing, Etc. (7370), Services-Prepackaged Software (7372)
- akta.pro primary industry
- Data Engineering, Integration & ETL/ELT Services (BPAEAHAB)
- akta.pro secondary industries
- Data Sharing, Data Exchange & Data Marketplace Platforms (HDAEABAH), Data Governance Platforms (Policies, Stewardship, Workflows) (HDAEADAB), Data Pipelines for GenAI (Curation, Filtering, Deduplication, Copyright) (HDAAACAJ)
Keywords
Where Datafold is headquartered
LocationHeadquarters
- HQ city
- San Francisco
- HQ country
- United States
- HQ region
- North America
Offices2 records
Markets served
Datafold business model
Business model- GTM type
- B2B
- Offering type
- Software
- Cost components
- Personnel, Technology or R&D, Infrastructure, Marketing or Sales, Operations
Revenue model
- SaaS Subscription: Subscription-based SaaS model with annual subscription terms that automatically renew for additional one-year periods unless terminated. Fees are non-cancelable and non-refundable. Single tenant/VPC deployment options available.
Pricing tiers
| Model | Billing | Price |
|---|---|---|
| Subscription | Annual | Enterprise plans with guaranteed migration outcomes |
Go-to-market motion3 records
Distribution channels4 records
Marketing channels7 records
Datafold product offering
Product offeringCore offering
Datafold sells an AI-powered data engineering automation platform that combines specialized AI agents, a context layer (Data Knowledge Graph), and data quality tools to automate database migrations, CI/CD testing for data changes, and continuous data quality monitoring. The platform delivers guaranteed-outcome data platform migrations with fixed price, timeline, and quality, and exposes its capabilities via MCP to AI coding agents such as Claude Code, Cursor, and Windsurf.
Product overview
Datafold is an AI-powered data engineering automation platform that combines specialized AI agents with a context layer and data quality tools. The product portfolio includes three main solutions: Data Platform Migrations (AI-powered guaranteed-outcome migrations), AI-Driven Data Development (context layer for AI agents), and Data Quality (end-to-end toolkit). Core products supporting these solutions are AI Agents (specialized agents for migrations, optimization, code reviews), Data Knowledge Graph (context layer serving lineage and business logic via MCP), Data Diff (cross-database data comparison), and Anomaly Detection (ML-driven monitoring). The platform integrates with dbt Core, dbt Cloud, Snowflake, Databricks, BigQuery, major cloud marketplaces (AWS, Azure, Google Cloud), and CI/CD tools (GitHub Actions, CircleCI, GitLab CI).
Differentiator
Problem solved
Functional benefit
Quantifiable outcome
- 6x faster migration completion (3 months vs 18 months for CHG Healthcare)
- +5 more outcomes
Companies that use Datafold
Customer profileNamed customers20 records
Segments3 records
Ideal customer profiles3 records
Datafold technology and API
TechnologyAPI detail
- Has API
- Yes
- API docs
- API detail
Core technology
AI maturity
App detail
Integration33 records
AI capability7 records
Feature6 records
Datafold partnerships and signals
Strategic signalPartnerships
Nine partnerships are on record, tiered core and secondary.
- SnowflakecoreSnowflake Select Tier Partner. Deep integration with Snowflake for data migrations and quality validation. Event sponsorship and co-marketing activities.
- DatabrickscoreExclusive membership in Databricks Delivery Provider Program. Enables automated migration capabilities for Databricks environments.
- Google CloudcoreAchieved Google Cloud Ready - BigQuery designation. Available on Google Cloud Marketplace for simplified customer procurement.
- dbt LabscoreDeep integration with dbt Core and dbt Cloud. Datafold CI testing integrates with dbt manifests for automated data diffs on model changes.
- Apache AirflowsecondaryIntegration with Apache Airflow for orchestration of data migration and validation workflows.
- GitHubsecondaryIntegration with GitHub Actions for CI/CD pipeline automation. Supports webhook-based CI trigger and PR integration.
- GitLabsecondaryIntegration with GitLab CI for continuous integration workflows.
- CircleCIsecondaryIntegration with CircleCI for CI/CD pipeline support.
- AWS (Amazon Web Services)coreAWS Marketplace listing. Datafold uses AWS infrastructure (EC2, RDS, ElastiCache) for hosted deployments.
Scale indicators4 records
Recent moves6 records
Expansion highlights5 records
Datafold competitors and assessment
Company assessmentDirect peers
- Monte Carlo Data: Monte Carlo is a direct competitor in data observability and data quality monitoring, targeting the same enterprise data engineering personas with anomaly detection, lineage, and incident management. Both companies sell to enterprise data platform teams and emphasize data reliability at scale.
- Bigeye: Bigeye is a direct competitor providing data observability with automated data quality monitoring, anomaly detection, and metrics tracking. It competes with Datafold's Anomaly Detection and Data Quality solutions for enterprise data engineering teams.
- Soda: Soda is a direct competitor in data quality and observability, offering data testing, monitoring, and lineage for modern data stacks. Both Soda and Datafold target data engineers with shift-left data quality tooling and dbt ecosystem integration.
- Great Expectations: Great Expectations is a direct competitor in data testing and data quality, originally an open-source framework and now offering a commercial cloud product. Both companies provide data diffing, validation, and CI/CD testing for data engineering workflows.
- Acceldata: Acceldata is a direct competitor in enterprise data observability, providing data pipeline monitoring, data quality, and reliability for large-scale data platforms. It targets the same enterprise segment with overlapping capabilities in monitoring and pipeline reliability.
Broad incumbents
- dbt Labs: dbt Labs is a broader incumbent in data transformation with deep ecosystem integrations Datafold depends on (dbt Core, dbt Cloud). While not a direct competitor, dbt's expansion into testing and observability overlaps with Datafold's CI/CD and data quality positioning.
- Alation: Alation is a broader incumbent in data catalog and governance that competes with the metadata/lineage portion of Datafold's Data Knowledge Graph. Both companies serve enterprise data teams with context-rich data discovery and governance capabilities.
- Talend (Qlik): Talend (now part of Qlik) is a broader incumbent in data integration, ETL, and data quality that overlaps with Datafold's data migration and validation capabilities. Both target enterprise data platform teams with data pipeline modernization tooling.
Emerging players
- Atlan: Atlan is an emerging player in data catalog, lineage, and governance. It overlaps with Datafold's Data Knowledge Graph context layer and competes for the same enterprise data platform buyer with active metadata and collaboration features.
- Coalesce: Coalesce is an emerging player in data transformation with automated data engineering capabilities that overlap with Datafold's code translation and migration features. Both target enterprise data engineering teams modernizing to cloud data warehouses.
Market position
Strengths5 records
Weaknesses5 records
Competitive moat5 records
Key risks5 records
Key highlights6 records
Customer concentration
Datafold social profiles
Digital presenceDatafold compliance and trust
Trust signalCompliance3 records
Datafold financial estimates
Financial estimateRevenue estimate
Valuation estimate
Datafold leadership team
Management profileNumber of profiles
Datafold funding detail
Funding detailFunding overview
Funding rounds6 records
Investors10 records
Funding detail is available on the Subscription and Enterprise plan.Contact sales →
Datafold M&A and investment
M&A and investmentM&A
Investments
M&A and investment is available on the Subscription and Enterprise plan.Contact sales →
Frequently asked questions about Datafold
What does Datafold do?
Datafold sells an AI-powered data engineering automation platform that combines specialized AI agents, a context layer (Data Knowledge Graph), and data quality tools to automate database migrations, CI/CD testing for data changes, and continuous data quality monitoring. The platform delivers guaranteed-outcome data platform migrations with fixed price, timeline, and quality, and exposes its capabilities via MCP to AI coding agents such as Claude Code, Cursor, and Windsurf.
Is Datafold a public or private company?
Datafold is a private company. It is currently operating.
When was Datafold founded?
Datafold was founded in 2017. It employs 11 to 50 people.
Where is Datafold based?
Datafold is headquartered in San Francisco, United States, in the North America region.
How does Datafold make money?
One revenue line is on record: saaS Subscription.
Who are Datafold's main competitors?
Direct peers on record are Monte Carlo Data, Bigeye, Soda, Great Expectations and Acceldata. Broad incumbents are dbt Labs, Alation and Talend (Qlik). Emerging players are Atlan and Coalesce.
Does Datafold have an API?
Yes. Datafold provides a public API and Python SDK (datafold-sdk) for CI/CD integration. The API enables developers to automate data diffs in CI pipelines, submit diff configurations, upload dbt manifest.json files, and trigger CI runs programmatically. The SDK supports commands such as 'datafold dbt upload' for uploading artifacts and 'datafold ci submit' for submitting diff configurations. API keys and CI config IDs are required for authentication. The API also supports GraphQL for lineage metadata queries. Developer documentation is at docs.datafold.com/api-reference/datafold-api.
What industry is Datafold in?
Its primary akta.pro industry code is BPAEAHAB, Data Engineering, Integration & ETL/ELT Services, with a secondary code of HDAEABAH, Data Sharing, Data Exchange & Data Marketplace Platforms. Its NAICS code is 5132 and its SIC code is 7370.