Datafold
UnclaimedAutomated data migrations and quality testing for modern data engineering teams.
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TL;DR - Datafold
- Accelerates data platform migrations with automated planning, translation, and validation.
- Prevents bad data deploys through automated CI/CD testing and impact analysis.
- Ensures continuous data quality with real-time monitoring, anomaly detection, and schema change alerts.
Pricing: Paid only
Best for: Enterprises & pros
Pros & Cons
Pros
- Significantly accelerates data migration timelines (e.g., 6 months faster)
- Ensures 100% data accuracy during migrations and ongoing operations
- Reduces manual effort in data testing and validation, saving engineering hours
- Prevents data quality issues from reaching production by integrating with CI/CD
- Provides comprehensive visibility into data changes and their impact
Cons
- Pricing is customized, which may require a demo to understand costs
- No explicit mention of a free trial or free tier on the pricing page
Key Features
Automated Data Platform Migrations (Plan, Map, Translate, Validate, Ship)Column-level lineage mapping for migration complexity assessmentAI-powered SQL dialect conversion and translationValue-level data validation and comparison (Data Diffs)Automated data quality testing in CI/CD pipelinesReal-time anomaly detection using ML models (row counts, freshness, custom metrics)Data test monitoring against business rules with SQL queriesSchema change detection and immediate alerts
Pricing Plans
Customized pricing
Contact us
- Based on number of users and tables being monitored and tested
- Comprehensive platform for data teams
- Specific features (one-time migration conversion and validation, column-level lineage) can be purchased separately
About Datafold
By Toolradar Team·
Datafold is a platform designed for data engineering teams to accelerate data platform migrations and ensure continuous data quality. It enables users to move data platforms significantly faster by automating complex tasks like column-level lineage mapping, SQL dialect translation, and value-level data validation. This ensures 100% data accuracy during migration and provides auditable evidence for stakeholder sign-off.
Beyond migrations, Datafold offers robust data quality testing and monitoring capabilities. It integrates with CI/CD pipelines to prevent bad code deploys by identifying value-level differences between development and production data. The platform also provides real-time anomaly detection, data test monitoring against business rules, and schema change alerts. Datafold aims to free data teams from manual work, increase velocity, improve data quality, and enhance the overall impact of data engineering.
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Datafold FAQ
What is Datafold?
Datafold is a platform for data engineering teams that automates data platform migrations and provides continuous data quality testing and monitoring. It helps teams accelerate migrations with confidence and prevent data quality issues in production.
How much does Datafold cost?
Datafold's pricing is customized based on the number of users and tables being monitored and tested. Specific features like one-time migration conversion and validation or column-level lineage can be purchased separately.
Is Datafold free?
Based on the available information, Datafold does not offer a free tier. Pricing is customized and requires a demo request.
Who is Datafold for?
Datafold is designed for data engineering teams, system integrators (SIs), and technology partners who need to perform lightning-fast data platform migrations, ensure data quality, and automate critical data workflows.
Source: datafold.com