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Datafold

Data reliability and observability platform for data teams

Founded by: Gleb Mezhanskiy
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You can use Datafold for ensuring the accuracy and reliability of your data across your data pipelines. The tool helps identify and troubleshoot data quality issues quickly and efficiently, saving you time and effort. One standout feature is its ability to provide automated regression testing for your datasets, which significantly reduces the risk of data errors making their way into production. Additionally, Datafold’s data diffs feature allows you to compare datasets easily, ensuring that any changes to your data are intentional and accurately tracked. By using Datafold, you’re ensuring higher data quality and reliability compared to other tools.

Tasks it helps with

Data pipeline monitoring
Automated regression testing for datasets
Data quality issue identification
Data comparison and diffing
Data observability

Overall Web Sentiment

Positive

Time to value

Immediate

Who is it for?

Data Engineers, Data Analysts, Data Scientists, Business Intelligence Analysts

Integrations

Airflow, Snowflake, Redshift, Databricks
Reviews