Data Pipelines

Great Expectations

A Python data validation framework for testing datasets.

Status
Not yet determined
Last checked
Unverified
License
Open source
Pricing
Free tier · from $0

What it is

Great Expectations is a Python library that enables developers and data scientists to validate their data against expectations, ensuring consistency and quality throughout the data lifecycle. It helps in setting up automated tests for data pipelines and datasets.

Great Expectations stands out by offering comprehensive, automated data testing and documentation capabilities directly within Python workflows, making it an essential tool for maintaining data integrity in complex pipelines.

When it fits — and when it doesn’t

A good fit for

  • Teams needing to validate large datasets for consistency and quality

  • Organizations implementing automated testing within their CI/CD pipelines

  • Data science teams requiring robust documentation of data expectations

Look elsewhere if

  • Projects that require real-time data validation (Great Expectations is batch-oriented)

  • Use cases where a graphical user interface is preferred over command-line or library integration

Known weaknesses

Each one links to the public issue, changelog or docs page it came from, where we have one.

  1. 01

    Limited language support beyond Python

    Primary development is in Python, and while there are community efforts for other languages like TypeScript, they are not as robust or well-supported.

  2. 02

    Performance issues with large datasets

    Data validation can become slow when dealing with very large datasets due to the need to process each row against expectations.

What it does well

  • Data validation and testing

  • Automated documentation of data expectations

  • Integration with CI/CD pipelines

  • Support for various data sources (SQL, CSV, etc.)

  • Extensive visualization capabilities

Pricing

Free tier
YesOpen source — free to use
Paid from
$0
Model
Flat rate
Enterprise plan
No

Pricing not independently confirmed — check the vendor’s page.

Performance benchmarks

How Fast Is It?

Set up Great Expectations

Setup steps, common gotchas and what to check after 30 days.

Open the setup guide →