Datafold
Datafold is a New York-based data engineering platform that originally built a data quality and diffing tool for analytics pipelines.
Profile
Datafold provides an AI-powered platform that automates data engineering tasks—including data migration, pipeline optimization, and code review—by using specialized agents and a context layer (Data Knowledge Graph) to ensure reliability.
Datafold is a New York-based data engineering platform that originally built a data quality and diffing tool for analytics pipelines. By mid-2025, the company had raised a $4 million Series A round (PitchBook, May 2025) and employed 32 people. The product has since expanded into an AI-powered platform that automates data engineering tasks—migration, optimization, and code review—via specialized agents and a context layer called the Data Knowledge Graph.
Datafold's website claims customers include Disney, Databricks, Moody's, AstraZeneca, Deloitte, FanDuel, Perplexity, Ingersoll Rand, Typeform, Patreon, Wealthsimple, Thumbtack, Rocket Companies, CHG Healthcare, EVRi, and QVentus. The company positions itself as a migration-as-a-service provider, offering guaranteed price, timeline, and quality for moving data warehouses (e.g., MySQL to Snowflake). A case study from CHG Healthcare and a testimonial from Faire (5,000+ tables migrated from Redshift to Snowflake six months early) are featured.
Datafold also emphasizes security and governance, offering single-tenant/VPC deployment, SOC 2 and HIPAA compliance, and governed LLM inference. The platform integrates with major cloud providers and data platforms. Despite the pivot toward AI agents, the company remains small and privately held, with no disclosed revenue or headcount growth beyond the 32 employees listed on PitchBook.
The most recent funding round was modest, and the company faces competition from larger data observability and migration players. The blog post 'Data Engineering in 2026: 12 Predictions' suggests thought leadership but no specific product launches or financial milestones were found in the research dossier beyond the PitchBook data.
Who buys this
- Data engineering teams at mid-to-large enterprises undergoing data warehouse migrations
- Organizations with complex data pipelines that need automated data quality validation and diffing
- Companies using AI coding agents that require a context layer for reliable data engineering output
- Security-conscious enterprises requiring single-tenant/VPC deployment and HIPAA/SOC 2 compliance
Publicly disclosed clients
- Disney
- Databricks
- Moody's
- AstraZeneca
- Deloitte
- FanDuel
- Perplexity
- Ingersoll Rand
- Typeform
- Patreon
- Wealthsimple
- Thumbtack
- Rocket Companies
- CHG Healthcare
- EVRi
- QVentus
Strengths and what to watch
Strengths
- Offers a differentiated migration-as-a-service model with guaranteed price, timeline, and quality, as evidenced by the Faire case study (5,000+ tables migrated six months early).
- Provides a Data Knowledge Graph that serves as a context layer for AI coding agents, potentially improving reliability of automated data engineering.
- Supports security and compliance requirements (SOC 2, HIPAA, single-tenant VPC deployment) that appeal to regulated enterprises.
Watch for
- Very small company (32 employees) with only a $4M Series A raised in May 2025, which may limit resources for scaling against larger competitors like Monte Carlo, dbt, or cloud-native tools.
- No publicly disclosed revenue, customer count, or growth metrics; the client list on the website may not reflect active paying customers or churn.
- The pivot to AI agents and the Data Knowledge Graph is a significant strategic shift from the original data diffing product, and adoption of this new offering is unproven.
Key Information
- Industry
- Data Quality & Observability
- Founded
- 2020
- Headquarters
- New York
Frequently Asked Questions
What is Datafold and what does it do?
Datafold is an AI-powered data engineering platform that automates tasks like data migration, pipeline optimization, and code review. It uses specialized agents and a Data Knowledge Graph context layer to ensure reliability and quality in data workflows.
How does Datafold's data migration service work?
Datafold offers a migration-as-a-service model with guaranteed price, timeline, and quality. It automates moving data warehouses, like MySQL to Snowflake, using AI agents and a Data Knowledge Graph. A case study shows Faire migrated 5,000+ tables six months early.
What is the Data Knowledge Graph in Datafold?
The Data Knowledge Graph is a context layer that provides a shared understanding of data assets for AI coding agents. It helps improve the reliability of automated data engineering tasks like migration, optimization, and code review by grounding agents in real data context.
What security and compliance features does Datafold offer?
Datafold supports single-tenant and VPC deployment, SOC 2 and HIPAA compliance, and governed LLM inference. These features appeal to security-conscious enterprises in regulated industries that need strict data governance and control over their data engineering platform.
Which companies use Datafold?
Datafold's website lists customers including Disney, Databricks, Moody's, AstraZeneca, Deloitte, FanDuel, Perplexity, Ingersoll Rand, Typeform, Patreon, Wealthsimple, Thumbtack, Rocket Companies, CHG Healthcare, EVRi, and QVentus. These span various industries from media to finance.
How does Datafold compare to other data observability tools?
Datafold differentiates with a migration-as-a-service model offering guaranteed price, timeline, and quality, plus a Data Knowledge Graph for AI agents. However, it is a small company with 32 employees and a $4M Series A, facing larger competitors like Monte Carlo and dbt.
Sources
- www.datafold.com — Company product description, client logos, case study references (CHG Healthcare, Faire), security and compliance claims, and blog post title.
- pitchbook.com — Year founded (2020), employee count (32), latest deal type (Series A), latest deal amount ($4M), and financing status.
- www.datafold.com — Case study reference for CHG Healthcare migration (mentioned on homepage).
- www.datafold.com — Description of the Data Knowledge Graph context layer.