Datafold
Automated data comparison and validation tools
- Also known as
- datafold
Available worldwide · Popular in: US, EU
What is Datafold?
Datafold provides tools for comparing database tables, validating data replication, and monitoring data quality across cloud environments including Kubernetes, AWS, Azure, and Google Cloud.
Datafold pricing
We don't have Datafold's full plan breakdown yet (its pricing page resisted automated reading). Here's what we could confirm. Always check live pricing for exact numbers.
Transparent pricing based on number of objects and contracted timeline/quality guarantees
What Datafold does
The capabilities that matter for data observability, normalised so it lines up with every alternative. “-” means we haven't confirmed it, not that it's missing.
- Freshness monitoring
- -
- Volume monitoring
- -
- Schema change detection
- ✓
- Data quality rules
- ✓
- ML anomaly detection
- -
- Lineage impact analysis
- -
- Root cause analysis
- -
- Incident management workflow
- -
- Dbt native
- -
- Streaming support
- -
- Deployment model
- Self hosted
- Open source
- ✓
- Pricing model
- -
Platform & deployment
Independently observed- CLI
- Cloud / SaaS
- Self-hosted
Integrations (9)
Independently observed- Snowflake
- Redshift
- Databricks
- Dataiku
- AWS
- GCP
- Azure
- dbt
- Dagster
Datafold FAQ
Common questions about Datafold, answered from independent, dated evidence.
What is Datafold?
A platform for automating data engineering workflows with tools for comparing data across databases and integrating with popular data tools. Supports both cloud and self-hosted deployment. It is indexed under Data Observability.
Source: https://www.datafold.com/
How much does Datafold cost?
Datafold does not publish its prices. Pricing is quoted on request, so the figure depends on your seat count and requirements. We record this as a pricing-transparency signal rather than guessing a number. Pricing changes often, so verify at source before relying on it.
Source: https://www.datafold.com/
What platforms does Datafold support?
Datafold supports a command-line interface. Platforms we have not confirmed are simply not listed here rather than ruled out.
Source: https://www.datafold.com/
Can Datafold be self-hosted?
Yes. Datafold can be deployed cloud / SaaS and self-hosted, so it does not have to run on the vendor's infrastructure.
Source: https://www.datafold.com/
What does Datafold integrate with?
We have confirmed 9 integrations for Datafold, including Snowflake, Redshift, Databricks, Dataiku, AWS, GCP, Azure and dbt, plus 1 more. This is what we could verify from public sources, so the vendor may support others we have not indexed.
Source: https://www.datafold.com/
What security certifications does Datafold have?
We have independently confirmed SOC 2, HIPAA and GDPR for Datafold. Certifications we do not list are ones we have not been able to verify from public sources, which is not the same as Datafold not holding them. Always confirm compliance directly before you rely on it.
Source: https://www.datafold.com/
Where is Datafold available?
Datafold is available worldwide. Its primary markets are the United States and the EU. The vendor is headquartered in the United States.
Source: https://www.datafold.com/
Datafold alternatives
Other data observability we track, ranked by the same independent score.
- AcceldataAI-powered platform that automates data quality monitoring, compliance enforcement, and incident resolution across enterprise data environmentsmedium · 61%
- ElementaryA unified platform for data observability, quality assurance, and governance integrated with data pipelinesmedium · 55%
- BigeyeEnterprise platform for real-time data quality monitoring and AI governancelow · 3%
- TelmaiAI-driven continuous data quality monitoring for data lakes and lakehouseslow · 29%
- Monte CarloA platform for monitoring, troubleshooting, and optimizing data and AI systems at scalelow · 7%
- SodaAI-powered data quality platform that automatically detects and fixes data issueslow · 8%
Compare Datafold
Side by side against other data observability, attribute by attribute, with a source on every value.
The vioscaleAI score: one lens on the evidence
Not user reviews and not a paid placement: a confidence-weighted blend of the independent signals below (adoption, activity, security posture, and more), which you can sort and re-weight yourself. Vendors can correct their listing but can never move their rank, and stars are weighted low as a vanity metric. It is one way to read the evidence for Datafold, not the verdict.
| Signal | Score | Weight | Contribution | Evidence |
|---|---|---|---|---|
| Security posture | 55 | 0.12 | 6.7 | ✓ |
| Pricing transparency | 55 | 0.05 | 3.0 | ✓ |
| Capabilities | 58 | 0.04 | 2.2 | ✓ |
| Integrations | 20 | 0.04 | 0.9 | ✓ |
| Price level | 0 | 0.04 | 0.0 | - |
| Reliability | 0 | 0.07 | 0.0 | - |
Computed . Re-weight it by intent, or see the full method.
All data & sourcesshow ↓
Every value we hold, with its source, retrieval date, and confidence. This is the evidence behind the score: don't trust it, verify it.
Content
| Attribute | Value | Evidence |
|---|---|---|
| Faq | 7 items | mediumsource · 2026-09-10 · 62% |
Features
| Attribute | Value | Evidence |
|---|---|---|
| Capabilities | Open source: Yes · Deployment model: self-hosted · Data quality rules: Yes · Schema change detection: Yes | mediumsource · 2026-09-24 · 60% |
Integrations
| Attribute | Value | Evidence |
|---|---|---|
| Count | 4 | mediumsource · 2026-09-24 · 60% |
Market
| Attribute | Value | Evidence |
|---|---|---|
| Availability | HqCountry: US · PrimaryMarkets: … · AvailabilityScope: global · AvailableCountries: … · NotAvailableCountries: … | highsource · 2026-08-18 · 75% |
Pricing
Security
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