The new standard in data quality
Test, compare, prevent—Data Diff tells the complete story of your data, helping you identify, diagnose, and prevent data issues.
Prevent costly data errors with automated, value-level data comparisons
Proactive CI/CD testing
Take the guesswork out of code changes with automated regression testing that’s integrated directly into your CI process. With data diffing, validate every transformation, easily identifying how your code changes might affect data across all rows, columns, downstream tables, and BI assets.
Automated migration validation
During a data migration, automatically identify data differences between your old and new environments. Quickly fix discrepancies and confidently show stakeholders that your migration is successful. Diff tabular data, as well as files, JSON, and other NoSQL formats.
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Confidence in mission critical data replication
Stay ahead of issues with real-time notifications when source and target databases fall out of sync. Ongoing value-level checks between databases ensure that bad data never sneaks into your production pipelines.
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Terabytes of data — don't sweat it
Compare your data at any scale with confidence, keeping it secure while minimizing impact on warehouse costs and performance.
High-performance at scale
Datafold's data diffing is powered by an efficient stochastic checksumming algorithm that handles large-scale data with ease. Provide fast and accurate testing results without slowing your team (or warehouse) down.
Optimized resource management
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Leverage filtering and sampling to reduce compute impact. Perform detailed data diffs on even the largest datasets without straining your infrastructure.
Uncompromised security
Data diffing minimizes data extraction by using a robust hashing algorithm, ensuring your data remains secure while giving you precise comparisons.
How our customers are ensuring data quality with speed and confidence
"Datafold helps you find the hidden changes you didn't know you made to your data, helping you if they're unintended or understanding what's causing them."
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"Datafold allows real visibility into data changes before the changes are live, reducing mistakes and enabling our analysts and stakeholders to feel confident in their changes."
"You can see right off the bat whether your data quality is what you were expecting, and reviewers can see it, too. Now we’re at the rate where we’re automating code reviews, or close to it, on 100 pull requests per month. And this is just the start."
Connect to the sources and targets that matter to your business
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