Great Expectations - Data Quality Monitoring Platform Tool

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Great Expectations

Data validation and quality monitoring for data pipelines.

Founded by: James Campbellin 2018
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You can use Great Expectations for automatically validating, profiling, and documenting your data. This tool ensures that your data pipelines are reliable and produce high-quality data. With its powerful data expectations and built-in documentation, it helps data teams easily identify and troubleshoot issues in their data workflows. Practical use cases include making sure data entries follow specified formats and maintaining data consistency across different sources.

Integrations

Apache Airflow, Snowflake, AWS S3, GCP BigQuery, Azure Data Lake, PostgreSQL, MySQL, MS SQL Server, Redshift

Who is it for?

Data Analyst, Data Engineer, Machine Learning Engineer, Data Scientist, Software Engineer, Quality Assurance (QA) Engineer, Business Intelligence Developer, Big Data Engineer

Tasks it helps with

Data validation
Monitoring data quality
Automating data quality checks
Profiling data
Documenting data pipelines

Overall Web Sentiment

People love it

Time to value

Quick Setup (< 1 hour)
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