How much does Datafold cost?

Outcome based: fixed price scoped by the number of legacy objects and migration complexity, with timeline and data parity contractually guaranteed. No hourly billing and no public dollar figure. Available via direct sale, data platform partners, or Google Cloud Marketplace private offer.

What are the best alternatives to Datafold?

Based on documented capability coverage across the Agentic Index 14 point taxonomy, the closest alternatives to Datafold among data analyst agents are Hex, Wisdom AI, ThoughtSpot, Zenlytic. Each is graded on the same public evidence, and no vendor pays for placement.

Does Datafold support MCP and tool calling?

Full under the Agentic Index verification standard. Datafold publishes public evidence of Model Context Protocol (MCP) support, tool calling, and API or SDK extensibility for connecting agents to external tools. Evidence basis: A documented Datafold API and SDK sit beside an MCP server at app.datafold.com/mcp authenticated with an API key, whose permission table names tools such as list_data_sources, create_datadiff and edit_alert that create and change Datafold's. Graded from public evidence only against the Agentic Index 14 point capability taxonomy. No vendor pays for placement.

Does Datafold have SOC 2, SSO and role based access control?

Full under the Agentic Index verification standard. Datafold publishes public evidence of enterprise security and identity controls, covering a compliance posture such as SOC 2 or ISO 27001, single sign on (SSO or SAML), and role based access control (RBAC). Evidence basis: The SafeBase trust center lists SOC 2, HIPAA and GDPR with reports available on request, and the docs cover SSO through Okta OIDC, Google OAuth, SAML and Microsoft Entra ID with group provisioning, user roles and permissions, custom groups. Graded from public evidence only against the Agentic Index 14 point capability taxonomy. No vendor pays for placement.

Can Datafold be self hosted or run in a private VPC?

Full under the Agentic Index verification standard. Datafold publishes public evidence of self hosted or private VPC deployment, along with data residency options for controlling where agent data is processed and stored. Evidence basis: Multi tenant SaaS runs in US West (Oregon) or Europe (Ireland) at the customer's choice, and Dedicated Cloud deploys a single tenant instance in a VPC on AWS, GCP or Azure, hosted by Datafold or in the customer's own account and managed by. Graded from public evidence only against the Agentic Index 14 point capability taxonomy. No vendor pays for placement.

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Datafold

Q: Who is Datafold for?

enterprise, data teams, data engineers, analytics engineers

Also known as: Datafold Migration Agent

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Data analyst agentindependentVerified 2026-09-28

Entry priceOutcome based fixed price scoped per migration by number of legacy objects and complexity, with timeline and data parity guaranteed by contract. No public dollar figure.Full pricing detail

Data engineering automation platform whose AI Migration Agent translates and validates data pipelines to full parity, with a Data Knowledge Graph and MCP tools that make coding agents reliable.

Datafold automates data engineering. Its lead product is the Datafold Migration Agent, delivered as a managed service supervised by Datafold's team: it translates legacy code (SQL dialects, stored procedures and GUI based ETL tools such as Informatica, SSIS, Matillion and Talend) into modern targets such as dbt, and checks the result with value level cross database diffs, correcting itself from compilation errors and data discrepancies until the new pipelines match the old ones. The customer receives a report linking the diffs that prove parity or explain each discrepancy.

Beyond migrations, Datafold runs AI code reviews on every pull request, data diffs in CI, monitors for metrics, tests and schema changes, and a Slack assistant. A Data Knowledge Graph of lineage, business logic, usage and ontology gives context to Datafold's agents and, through an MCP server whose tools create diffs and edit alerts, to the customer's own coding agents. Admins can route the agents to their own LLM provider, from OpenAI and Anthropic to Bedrock, Vertex AI, Databricks or Snowflake Cortex.

Datafold lists SOC 2, HIPAA and GDPR in its trust center and documents SSO through Okta, SAML and Microsoft Entra ID, roles, service accounts and an audit log API. It runs as SaaS in a US or EU region or as a single tenant deployment in a VPC on AWS, GCP or Azure, including in the customer's own account. Migrations are priced as a fixed, guaranteed amount scoped by code objects and complexity.

Vendor details

Canonical URL

https://www.datafold.com

Funding status

Independent, venture backed data engineering company. Specific funding figures were not retrieved this session.

Company status

independent

Use cases & customers

Primary use cases

AI data migrationcross database data validationdata quality testing in CI/CDdata monitoring and lineagecontext layer for coding agents

Target customers

enterprisedata teamsdata engineersanalytics engineers

Deployment options

SaaSVPCin-VPC AWSin-VPC GCPin-VPC Azure

Integrations

Legacy and modern data sources including SQL Server, SAP Hana, MySQL, Netezza, Oracle, Teradata, Redshift, Snowflake, BigQuery, plus dbt, Coalesce, Airflow, Informatica, SSIS, Talend, Matillion, Microstrategy, and GitHub, GitLab, and Azure DevOps. Data Diff and monitors exposed via MCP.

Sources & related URLs

Research sources

https://www.datafold.com/ https://www.datafold.com/data-migration/ https://www.datafold.com/blog/data-migrations-reimagined-introducing-the-ai-powered-datafold-migration-agent/ https://www.datafold.com/blog/what-is-the-datafold-migration-agent/ https://docs.datafold.com/data-migration-automation/datafold-migration-agent https://www.datafold.com/dbt-migration https://cloud.withgoogle.com/agentfinder/product/0bc1d2be-0404-42cb-8276-dbc60f47bbf4/

Agentic Index coverage score

11.5 / 14 capabilities · 82%

Integrations & Tool Calling	Full
Datafold's AI Code Reviews post a summary comment and inline suggested changes on pull requests through its GitHub, GitLab and Azure DevOps apps, and the Migration Agent works across legacy and modern warehouses, ETL tools and the customer's code repository to translate pipelines. Sourcedocs.datafold.com/deployment-testing/ai-code-reviews.mdread 2026-09-28
Workflow Orchestration	Partial
The Migration Agent runs a fixed loop of translating, compiling, diffing and self correcting until parity, and code reviews pass through a review supervisor, while the LLM provider page mentions migration goals and per role model overrides without describing the roles; no branching or flow the buyer composes is documented. Sourcedocs.datafold.com/data-migration-automation/datafold-migration-agent.mdread 2026-09-28
Knowledge Grounding & RAG	Full
The Data Knowledge Graph serves the customer's lineage, business logic, usage, ontology and organizational knowledge to Datafold's agents and, over MCP, to the customer's own coding agents. Sourcedatafold.comread 2026-09-28
Human Oversight & Guardrails	Partial
Admins limit which MCP tools an agent's service account can call through group permissions, hiding the rest, and code review suggestions wait for people to merge them in their own Git host; the oversight of migrations by Datafold's engineers is the vendor's service, not a control the customer operates, and no approval step before an agent action commits is documented. Sourcedocs.datafold.com/security/mcp-tool-permissions.mdread 2026-09-28
Security, Identity & Governance	Full
The SafeBase trust center lists SOC 2, HIPAA and GDPR with reports available on request, and the docs cover SSO through Okta OIDC, Google OAuth, SAML and Microsoft Entra ID with group provisioning, user roles and permissions, custom groups and service accounts. Sourcesecurity.datafold.comread 2026-09-28
Observability & Auditability	Full
An audit log API returns each action with the user, IP, request, object type and ID, status and payload, and agents act through service accounts whose MCP tool calls run under named permissions; whether the log marks an action as an agent's is not stated. Sourcedocs.datafold.com/api-reference/audit-logs/get-audit-logs.mdread 2026-09-28
Memory & State Persistence	Partial
The Slack assistant rereads the latest messages of a thread on every turn, about fifteen messages, so context lasts within a thread; no memory the agents keep across sessions with a stated scope and lifetime is documented, and the Data Knowledge Graph holds the customer's knowledge rather than the agents' own memory. Sourcedocs.datafold.com/integrations/agents/slack-bot.mdread 2026-09-28
Deployment & Data Residency	Full
Multi tenant SaaS runs in US West (Oregon) or Europe (Ireland) at the customer's choice, and Dedicated Cloud deploys a single tenant instance in a VPC on AWS, GCP or Azure, hosted by Datafold or in the customer's own account and managed by either party. Sourcedocs.datafold.com/datafold-deployment/datafold-deployment-options.mdread 2026-09-28
Prebuilt Agents / Templates / Packs	Full
Datafold ships specialized agents that each do their own job: the Migration Agent translates and validates pipelines, AI Code Reviews review pull requests, and a Slack assistant answers questions about data sources, lineage, monitors and diffs; the homepage also names an optimization agent without describing it. Sourcedatafold.comread 2026-09-28
Triggers & Channel Coverage	Full
AI Code Reviews run automatically when a pull request is created or updated, with no one asking, monitors run on schedules and alert on data diffs, metrics, tests and schema changes, and people reach the assistant by mentioning it in Slack or through MCP clients. Sourcedocs.datafold.com/deployment-testing/ai-code-reviews.mdread 2026-09-28
Model Flexibility & Routing	Full
Organization admins register their own LLM provider (OpenAI, Anthropic, Google Gemini, Azure AI Foundry, AWS Bedrock, Google Vertex AI, Databricks, Snowflake Cortex or any OpenAI compatible endpoint) and set models for goals, project defaults and per role overrides; without one the Migration Agent runs on Datafold managed inference. Sourcedocs.datafold.com/integrations/llm-providers.mdread 2026-09-28
APIs / SDKs / MCP Extensibility	Full
A documented Datafold API and SDK sit beside an MCP server at app.datafold.com/mcp authenticated with an API key, whose permission table names tools such as list_data_sources, create_datadiff and edit_alert that create and change Datafold's own objects. Sourcedocs.datafold.com/api-reference/mcp-server-setup.mdread 2026-09-28
Testing, Debugging & Optimization	Full
The Migration Agent's translated code is checked against the source by value level data diffs, and the agent corrects itself from compilation errors and data discrepancies until parity is reached, a quality gate on the agent's own output; the final report links the diffs proving parity or explaining each discrepancy. Sourcedocs.datafold.com/data-migration-automation/datafold-migration-agent.mdread 2026-09-28
Browser / Computer-use	Not documented
Datafold's agents work through data source connections, Git apps, the API and MCP tools; no browser, desktop or computer control is described. Sourcedocs.datafold.com/datafold-mcp.mdread 2026-09-28

The Agentic Index coverage score grades every vendor Full, Partial or Not documented against the same 14 buyer facing capabilities, from public evidence only. Each capability links to how all vendors in the index score on it. How this evidence is graded

Pricing

Outcome based fixed price scoped per migration by number of legacy objects and complexity, with timeline and data parity guaranteed by contract. No public dollar figure.

number of legacy objects and migration complexity

What is public

The migration pricing basis (code objects and complexity, fixed and guaranteed) is public; no dollar figures for migrations or the platform.

Cost watchouts

Datafold does not provide IT configuration or education services; environment setup may require internal effort or an SI. Marketplace private offer terms may differ from direct.

Variable cost rationale

Fixed price is committed upfront based on scoped objects and complexity, with no hourly billing and no scope creep by design, so variable exposure is low once the scope is set.

Sales call required

Yes, required for paid access

Free / trial

No free tier or trial on the pricing surfaces; quote and demo

Lowest paid plan

Not public; outcome based fixed price per migration

Key ambiguities

Pricing model is transparent (per object, fixed, guaranteed) but no public dollar figure is published; final price depends on the scoped object count and complexity.

Agentic Index verified 2026-09-28

Official pricing page

Related vendors

Alternatives to Datafold

The closest documented capability profiles to Datafold among data analyst agents tracked by Agentic Index, ordered by similarity on the same 14 point evidence the rankings use. No vendor pays for placement.

Hex12.5 / 14Fuller documented coverage on Workflow Orchestration and Human Oversight & Guardrails
Wisdom AI11.5 / 14Fuller documented coverage on Workflow Orchestration
ThoughtSpot12.0 / 14Fuller documented coverage on Workflow Orchestration and Human Oversight & Guardrails
Zenlytic11.0 / 14Fuller documented coverage on Workflow Orchestration
Opensee10.0 / 14Fuller documented coverage on Human Oversight & Guardrails
Querio9.0 / 14A lighter documented profile than Datafold

Similarity is computed from each vendor's Agentic Index coverage score evidence, axis by axis, not from the totals. How this evidence is graded

Compare Datafold with other vendors →Compare all data analyst agents →See where Datafold ranks →

Data confidence: high

Head to head

Datafold vs Monte Carlo Datafold vs Dataiku