Datafold
6.0#4 in data observability toolsWebAPISelf-hosted
VisitDatafold vs OpenMetadata
OpenMetadata
6.2#3 in data observability toolsFree planFree planWebAPISelf-hosted
VisitWhat both publish
| Fact | Datafold | OpenMetadata |
|---|---|---|
| Deployment | Datafold is a web-based application offered as multi-tenant SaaS or dedicated cloud, including customer-hosted options. | Users can deploy OpenMetadata in their own environment, try a live sandbox with demo data, or sign up for a free cloud service with their own data. |
| Integrations | The product page names Snowflake, Databricks, BigQuery, Redshift, dbt, Airflow, GitHub, and GitLab, and says Datafold integrates with 50+ data tools. | Its ingestion framework supports connectors for 130+ data services, including Airflow, BigQuery, Databricks, dbt, Kafka, MySQL, Snowflake, and Tableau. |
| Knowledge graph | The Data Knowledge Graph collects lineage, business logic, usage, and ontology, then serves this context to AI agents via MCP. | Its graph captures schemas, tables, columns, dashboards, pipelines, ML models, owners, lineage, and classifications. |
| Purpose | Datafold combines specialized AI agents, a context layer, and data quality tools to automate data engineering. | OpenMetadata unifies technical context, business semantics, and organizational memory in a knowledge graph for people and AI agents. |
| Security | The Trust Center lists GDPR, HIPAA, and SOC 2 compliance statuses and provides access to security documents. | The documentation describes Fernet encryption for stored passwords and connection secrets, SSL/TLS connections, and external secrets manager support. |
Datafold plans
- Custom pricingPriced on request
OpenMetadata plans
- OpenMetadata (self-hosted)Free
Pick Datafold if…
Datafold suits teams that need schema migration tests and data quality checks across its supported databases. It is a fit for users comfortable writing tests in SQL or YAML.
Pick OpenMetadata if…
You want what its maker publishes above — check its page for the details.