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Great Expectations Reviews & Product Details

We're helping data teams have confidence in their data, no matter what. GX Cloud is our end-to-end platform for managing your data quality process. It delivers the intuitive experience of a fully managed SaaS solution while harnessing the power of the world's most popular data quality framework. With GX Cloud, data teams can work quickly, collaborate effectively, and always know what to expect from their data. GX Core is our open source Python offering, and the world's most popular data quality framework. It's a powerful, flexible data quality solution that empowers data teams to communicate better and take action effectively. At its heart are Expectations: verifiable assertions about your data that create clear and expressive data quality tests.

Seller

Great Expectations

Languages Supported

English

Product Description

Great Expectations (GX is an open-source data validation framework designed to help data teams ensure the quality and reliability of their data. By defining "Expectations"—verifiable assertions about data—GX enables automated testing and documentation, fostering confidence in data pipelines and facilitating collaboration between technical and non-technical stakeholders. Key Features and Functionality: - Expectations: Define clear, human-readable assertions about your data, such as value ranges or data types, to validate data quality. - Automated Data Profiling: Analyze and summarize data characteristics automatically, aiding in the quick identification of potential quality issues. - Data Validation: Apply defined Expectations to data batches to verify compliance, receiving detailed reports on validation outcomes. - Data Docs: Generate comprehensive, human-readable documentation of Expectations and validation results, serving as an up-to-date data quality report. - Integration with Various Data Sources: Support for multiple data sources, including Pandas DataFrames, Spark DataFrames, and SQL databases, allowing flexibility in data validation processes. - Checkpoints: Create reusable validation workflows that specify which Expectations to run against which data assets, streamlining the validation process. Primary Value and Problem Solved: Great Expectations addresses the critical need for data quality assurance in modern data pipelines. By automating data validation and providing clear documentation, GX reduces manual effort, minimizes errors, and ensures that data meets predefined standards. This leads to more reliable data for analysis and decision-making, enhances collaboration between data teams and business stakeholders, and fosters a culture of data confidence within organizations.

Overview by

Erica Howard

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Great Expectations Reviews (11)

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Sanjay D.

Data Analytics and Engineering

Small-Business (50 or fewer emp.)

4/17/2023

"Great expectation provided me a better framework to validate the data with minimal coding language."

5/5

What do you like best about Great Expectations?

Great expectation is an open source tool which makes it available for all the people so people can use this without spending any money.It helps to make sure that data is accurate, reliable, and consistent, this helps in good decision making which result in organization development. Review collected by and hosted on G2.com.

What do you dislike about Great Expectations?

I like all the functionality which is provided by great expectations but I found out one limitation about this framework this may not work with all data sources. We might sometime need to write custom code to integrate the framework with my required data environment, which cost some coding knowledge and time apart from this I like all the functionality. Review collected by and hosted on G2.com.

What problems is Great Expectations solving and how is that benefiting you?

Great expectation acts as a tool which helps data professionals like me to ensure the data is reliable and error-free. It lets us define rules for thr data and detect issues early on. This also makes it easier to understand complex datasets and communicate their properties.

By reducing errors, improving reliability, and understanding, This saves organizations time and money, boosts productivity, and helps us make better decisions based on data. Review collected by and hosted on G2.com.

Anup J.

Enterprise (> 1000 emp.)

3/28/2023

"Great to Work with Great Expectations"

5/5

What do you like best about Great Expectations?

Simple declarative nature of the expections is great

Automated profiling and validation tools are a life-saver

The Data Validation tools and data documentation is great to work with Review collected by and hosted on G2.com.

What do you dislike about Great Expectations?

The number of steps and things that need to be handled before you can start writing Expectations tests and the setup needed to do that is cumbersome. I understand and appreciate the necessity, but I still mislike it Review collected by and hosted on G2.com.

What problems is Great Expectations solving and how is that benefiting you?

Two specific thing that I use Great Expectations for:

* Validation: Having great expectations tests sit between the input data batch and downstream tasks saves a lot of time with debugging. Not necessary just type mis-matches and outliers, but even more subtle things like data-drift can be handled very well with GE

* Data Documentation- The Great Expections Data Docs feature is superb. We regularly handled bizzare databases from clients and having GE helps us build good understanding of the underlying mechanism without necessarily verifying every column ourselves Review collected by and hosted on G2.com.

Shwetha K.

Data Engineer

Mid-Market (51-1000 emp.)

4/19/2023

"Great Expectations is an Amazing platform which helped me in Simplifying a Data."

5/5

What do you like best about Great Expectations?

Great Expectations is a python library that simplifies our data quality management by providing an easy-to-use interface.It also Allows data professionals like us to focus on the analysis of data rather than worrying about data quality. Review collected by and hosted on G2.com.

What do you dislike about Great Expectations?

I loved all the functionalities provided by Great Expectations.But I found one limitation with this, it supports for certain data sources, so it requires us to have a strong understanding of data validation and testing concepts. Review collected by and hosted on G2.com.

What problems is Great Expectations solving and how is that benefiting you?

In our project as data volumes and complexity were growing we worried about the correctness of result. In that situation Great Expectations library solved our big problem By ensuring that data pipelines are functioning correctly and producing expected results.

This benefited data engineer like us by providing a reliable and efficient tool for automating data testing which reduced our manual work. Review collected by and hosted on G2.com.

Yeshwanth G.

Senior Software Engineer

Enterprise (> 1000 emp.)

4/19/2023

"Great Expectations is a great platform which helped us in validating and testing a data."

5/5

What do you like best about Great Expectations?

Great Expectations is a Python library which provides Expectations for data sources, so that users like us can define their own expectations or use predefined expectations to validate a data. Review collected by and hosted on G2.com.

What do you dislike about Great Expectations?

Great Expectations Python library offers many advantages for us which I liked lot, if I want to tell one disadvantage is that it requires ongoing maintenance and updates to ensure it is compatible with tools and services Review collected by and hosted on G2.com.

Verified User in Telecommunications

Mid-Market (51-1000 emp.)

4/18/2023

"Felt awesome using this product"

4.5/5

What do you like best about Great Expectations?

Helped in maintaining the data also setup the gap that was there between the teams. As a software tester it was very much useful in keeping track of large code bases as well.

It also helped in validating, verifying and customising any data that was there on the product Review collected by and hosted on G2.com.

What do you dislike about Great Expectations?

There was no free trial and also no premium consulting / integration services.It also does not execute the pipeline for us but instead validation can simply be run as a step in pipeline.It also does not store data. Review collected by and hosted on G2.com.

Rakshith N.

Analyst

Small-Business (50 or fewer emp.)

4/18/2023

"Overall expectations from Great expectations"

4.5/5

What do you like best about Great Expectations?

In my project there was need to connect snowflake with great expectations and luckily it was supported in great expectations platform this really help us to pull the big data and do necessary transformations to data. Review collected by and hosted on G2.com.

What do you dislike about Great Expectations?

Setting up and using great expectations can be little challenging for users without technical backgrounds. Review collected by and hosted on G2.com.

Verified User in Online Media

Mid-Market (51-1000 emp.)

4/6/2023

"Data Validation made easy!"

3/5

What do you like best about Great Expectations?

Configuring the data context was rather easy using the Great Expectations CLI, you can create a Data Context directly in code. It helped at ease with the entire process. Review collected by and hosted on G2.com.

What do you dislike about Great Expectations?

Not everything is that bad at all to be using the tool except a few processing issues. Git processing and git tagging is rather slow and a tedious process. The dashboard needs a revamp. Review collected by and hosted on G2.com.

Verified User in Banking

Mid-Market (51-1000 emp.)

4/18/2023

"Really awesome using this product"

3.5/5

What do you like best about Great Expectations?

Great Expectation helps in maintaining data. Open source framework helps massively in unit testing the data. Helps in catching the issues much earlier instead of slipping it to data products. Product documenation is very good. Review collected by and hosted on G2.com.

What do you dislike about Great Expectations?

Not execute pipeline support, it execute as step in pipeline. Without technical background setup and using Great Expectation could be challenging Review collected by and hosted on G2.com.

Sunil K.

SW/App/Cloud Tech Support Analyst

Small-Business (50 or fewer emp.)

4/14/2023

"Great Expectations.Com"

5/5

What do you like best about Great Expectations?

Great Expectations is a brilliant evocation of a time and place. Review collected by and hosted on G2.com.

What do you dislike about Great Expectations?

I don’t have any personal dislikes about Great Expectations. Review collected by and hosted on G2.com.

ramesh R.

Principal Consultant

Small-Business (50 or fewer emp.)

4/19/2023

"Was very useful for DQ"

4.5/5

What do you like best about Great Expectations?

Ease of Use and the features that are provided on the platform to handle different challenges associated with data quality. Review collected by and hosted on G2.com.

What do you dislike about Great Expectations?

Nothing as such. all good. We are happy with the product Review collected by and hosted on G2.com.