Can Datafold integrate with my existing data warehouse for BI teams?

Yes, Datafold offers integration with popular data warehouses, making it ideal for business intelligence teams. It allows for seamless data quality checks and lineage visualization directly within your existing data infrastructure, enhancing data reliability for your BI initiatives.

Datafold

Automate data quality and lineage tracking

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Shyft Score

Directory quality rating

Reviewed

63/100

Quiet

Found in 1 source

Our take

The verdict on Datafold

AI-generated

Datafold automates data quality assurance with anomaly detection and lineage tracking. Ideal for data teams managing multiple warehouses or complex pipelines.

Strengths

AI-driven automation for data engineering
Comprehensive suite for data teams
Free tier available for startups

Limitations

Niche market may limit immediate adoption
Pricing and scalability unclear
No mention of AI agent support

Best for: Data teams looking to automate manual and repetitive tasks

Request a demo to evaluate Datafold for your team.

See how Datafold fits your stack

Benefits

Why teams choose Datafold

Catch data quality issues before they impact your business decisions

Reduce manual data validation work by up to 80%

Quickly trace data problems back to their source with visual lineage maps

Get instant alerts when anomalies appear in your data pipelines

About

What is Datafold?

Datafold automates data engineering workflows with AI-driven quality checks and anomaly detection. It integrates with data warehouses, visualizes data lineage for compliance, and includes collaboration tools to help data teams maintain data accuracy and trust.

Key capabilities

Automated data quality checks

Data lineage visualization

Collaboration tools for data teams

Integration with popular data warehouses

AI-driven anomaly detection

At a glance

What you can do with Datafold

Detect data quality issues and anomalies automatically

Track data lineage for regulatory compliance

Automate testing in ETL and dbt pipelines

Collaborate on data projects and incidents

Reduce manual data validation work

Best for

Data engineersData analystsBusiness intelligence teams

Pricing

Datafold pricing

Datafold starts at $49/mo

Starting at $49/mo

Ecosystem

Connected ecosystem

MCP servers, AI skills, and integrations that work with Datafold

MCP servers

Use Datafold with AI agents via these MCP servers

openapi-mcp-server

Model Context Protocol server to expose OpenAPI specs.

npx0

mcp-mysql

A powerful MCP server for managing MySQL databases with ease.

npx 7

mcp excel server

Empower Excel file management and analysis with natural language interaction.

pip 87

mysql_mcp_server

Securely connect AI applications with MySQL databases using the Model Context Protocol.

pip 1.2k

terminal controller mcp

Securely execute terminal commands and manage files through a standardized interface.

pip 99

Browse all MCP servers

Integrations

SnowflakeBigQueryRedshiftLookerTableauSlackGitHubAirflow

FAQs

Frequently asked questions

Common questions about Datafold and its capabilities

Datafold is a data-integration tool that automates data engineering tasks with AI. It helps data engineers by providing automated data quality checks, data lineage visualization, and AI-driven anomaly detection, ensuring data reliability and streamlining workflows.