Freedom251 › Database Testing Tools
Datafold
What Datafold is
Datafold combines AI agents, a context layer, and data quality tools for data engineering work such as migrations, optimization, CI/CD, and quality checks. Its Data Diff compares data before and after pull requests, identifying changed rows and columns to help catch value-level regressions before production. Monitoring covers data freshness, volume, and distribution, while cross-system reconciliation compares data across databases. The Data Knowledge Graph collects lineage, business logic, usage, ontology, and organizational knowledge to provide context to AI agents via MCP; it is in private beta and requires contacting Datafold to enable it. Datafold lists integrations with Snowflake, Databricks, BigQuery, Redshift, dbt, Airflow, GitHub, and GitLab, and says it works with more than 50 data tools. Deployment options include multi-tenant SaaS and dedicated cloud environments, including customer-hosted deployments in a customer VPC on AWS, GCP, or Azure. Pricing is available on request, and a 14-day trial is listed. There is no free plan.
Who it suits
Datafold is intended for data and analytics engineers and data teams building data products or automating data engineering workflows. Its deployment and approved-LLM-endpoint options may be relevant to teams with specific security requirements.
What it does well
- Data Diff checks row and column changes around pull requests.
- Monitoring covers freshness, volume, and distribution.
- Dedicated cloud deployments are available on AWS, GCP, and Azure.
- Tests support SQL and YAML.
What to know first
- Pricing is available only on request.
- No free plan is listed.
- The Data Knowledge Graph is in private beta.
- A 14-day trial is listed.
Plans
| Plan | Billed and limits | Price |
|---|---|---|
| Custom pricing | Pricing page redirects to contact us; no numeric price shown | On request |
As datafold.com lists them, read 8 Oct 2026. The maker's own page has the final word.
Verdict
Datafold combines data quality checks, reconciliation, monitoring, and migration support with deployment choices for cloud and customer environments. Pricing requires a request, and the Knowledge Graph is not generally enabled based on the listed availability.
Facts from Datafold's own pages
- Beta availability
- The Data Knowledge Graph is in private beta and requires contacting Datafold to enable it. · docs.datafold.com, 8 Oct 2026
- Cloud providers
- Dedicated Cloud deployments are available on AWS, GCP, and Azure. · docs.datafold.com, 8 Oct 2026
- Company
- Datafold says it is an all-remote team; the opened About page does not state headquarters or founding year. · datafold.com, 8 Oct 2026
- Compliance
- The Trust Center lists GDPR, HIPAA, and SOC 2 compliance statuses and provides access to security documentation, including a SOC 2 report and penetration test report. · security.datafold.com, 7 Oct 2026
- Data Diff
- Data Diff compares data before and after pull requests and identifies changed rows and columns to catch value-level regressions before production. · datafold.com, 7 Oct 2026
- Data diffs
- Datafold compares data before and after pull requests to identify value-level changes in rows and columns. · datafold.com, 8 Oct 2026
- Data Knowledge Graph
- The Data Knowledge Graph collects lineage, business logic, usage, ontology, and organizational knowledge and serves it to AI agents via MCP. · datafold.com, 8 Oct 2026
- Data quality
- Its data quality tools provide Data Diff in CI/CD, cross-system reconciliation, and proactive monitoring, with capabilities exposed via MCP. · datafold.com, 7 Oct 2026
- Deployment
- Datafold is a web-based application offered as multi-tenant SaaS or dedicated cloud, including customer-hosted options. · docs.datafold.com, 8 Oct 2026
- Founded
- 2020 · datafold.com, 23 Sept 2026
- Integrations
- The product page names Snowflake, Databricks, BigQuery, Redshift, dbt, Airflow, GitHub, and GitLab, and says Datafold integrates with 50+ data tools. · datafold.com, 8 Oct 2026
- Intended users
- Datafold says it exists to empower data and analytics engineers and help data teams build reliable data products faster. · datafold.com, 7 Oct 2026
- Knowledge graph
- The Data Knowledge Graph collects lineage, business logic, usage, and ontology, then serves this context to AI agents via MCP. · datafold.com, 7 Oct 2026
- LLM controls
- Datafold says it can use LLM inference endpoints approved by a customer’s Security and IT team, including endpoints in AWS, GCP, Azure, Snowflake, or Databricks accounts. · datafold.com, 7 Oct 2026
- Migration
- Its Data Migration Agent offers migrations with fixed price, timeline, and data parity guarantees. · docs.datafold.com, 8 Oct 2026
- Monitoring
- Datafold monitors data freshness, volume, and distribution to detect quality issues. · datafold.com, 7 Oct 2026
- Monitoring and reconciliation
- Datafold supports freshness, volume, and distribution monitoring, plus cross-system reconciliation across databases. · datafold.com, 8 Oct 2026
- Pricing availability
- The pricing URL redirects to the contact page, and the current site asks visitors to request a demo without showing a price. · datafold.com, 7 Oct 2026
- Private deployment
- Datafold says it can run in a customer Virtual Private Cloud on AWS, GCP, or Azure so data stays inside the customer security perimeter. · datafold.com, 8 Oct 2026
- Product
- Datafold builds specialized AI agents and tools for data engineering tasks including migrations, optimization, CI/CD, and data quality. · datafold.com, 7 Oct 2026
- Purpose
- Datafold combines specialized AI agents, a context layer, and data quality tools to automate data engineering. · docs.datafold.com, 8 Oct 2026
- Security
- The Trust Center lists GDPR, HIPAA, and SOC 2 compliance statuses and provides access to security documents. · security.datafold.com, 8 Oct 2026
- Support
- Support is available by email, in-app live chat, and a shared Slack channel arranged through an account executive. · docs.datafold.com, 8 Oct 2026
- Target users
- Datafold describes its platform as helping data teams and their coding agents ship higher-quality data faster and automate data engineering workflows. · docs.datafold.com, 8 Oct 2026
Where Datafold stands on Freedom251
- Database Testing Tools#25 of 28