# Great Expectations Reviews **Vendor:** Great Expectations **Category:** [Data Observability Software](https://www.g2.com/categories/data-observability) **Average Rating:** 4.5/5.0 **Total Reviews:** 11 ## About Great Expectations 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. ## Great Expectations Reviews ### 1. Great expectation provided me a better framework to validate the data with minimal coding language. **Rating:** 5.0/5.0 stars **Reviewed by:** Sanjay D. | Data Analytics and Engineering , Small-Business (50 or fewer emp.) **Reviewed Date:** April 17, 2023 **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. **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. **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. ### 2. Great to Work with Great Expectations **Rating:** 5.0/5.0 stars **Reviewed by:** Anup J. | Enterprise (> 1000 emp.) **Reviewed Date:** March 28, 2023 **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 **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 **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 ### 3. Great Expectations is an Amazing platform which helped me in Simplifying a Data. **Rating:** 5.0/5.0 stars **Reviewed by:** Shwetha K. | Data Engineer, Mid-Market (51-1000 emp.) **Reviewed Date:** April 19, 2023 **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. **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. **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. ### 4. Great Expectations is a great platform which helped us in validating and testing a data. **Rating:** 5.0/5.0 stars **Reviewed by:** Yeshwanth G. | Senior Software Engineer, Enterprise (> 1000 emp.) **Reviewed Date:** April 19, 2023 **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. **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 **What problems is Great Expectations solving and how is that benefiting you?** As the documents of our project increased, we became concerned about generating the documents.Fortunately the Great Expectations library automatically generated a documentation for our data. This benefited us in reducing our effort,manual workload. ### 5. Felt awesome using this product **Rating:** 4.5/5.0 stars **Reviewed by:** Verified User in Telecommunications | Mid-Market (51-1000 emp.) **Reviewed Date:** April 18, 2023 **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 **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. **What problems is Great Expectations solving and how is that benefiting you?** Communication gap between the teams and also helped in maintaining the data properly including the profile.Data validation and also automated profiling.simce it is based on python we can trigger it using the command line without entering the python programming environment ### 6. Overall expectations from Great expectations **Rating:** 4.5/5.0 stars **Reviewed by:** Rakshith N. | Analyst , Retail, Small-Business (50 or fewer emp.) **Reviewed Date:** April 18, 2023 **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. **What do you dislike about Great Expectations?** Setting up and using great expectations can be little challenging for users without technical backgrounds. **What problems is Great Expectations solving and how is that benefiting you?** For data quality checks and also automating the data quality process,which saves time and reducing the humar error. Because of the central repository it is easy for our team to monitor data quality over time. ### 7. Data Validation made easy! **Rating:** 3.0/5.0 stars **Reviewed by:** Verified User in Online Media | Mid-Market (51-1000 emp.) **Reviewed Date:** April 06, 2023 **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. **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. **What problems is Great Expectations solving and how is that benefiting you?** It has helped us manage large data sets. It has also helped with huge amounts of configuration and range of data quality checks that could be written using this amazing tool. ### 8. Really awesome using this product **Rating:** 3.5/5.0 stars **Reviewed by:** Verified User in Banking | Mid-Market (51-1000 emp.) **Reviewed Date:** April 18, 2023 **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. **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 **What problems is Great Expectations solving and how is that benefiting you?** For data quality checks and automating the same reduces risk of errors. Since it is based on Python, we can trigger using command line. ### 9. Great Expectations.Com **Rating:** 5.0/5.0 stars **Reviewed by:** Sunil K. | SW/App/Cloud Tech Support Analyst, Small-Business (50 or fewer emp.) **Reviewed Date:** April 14, 2023 **What do you like best about Great Expectations?** Great Expectations is a brilliant evocation of a time and place. **What do you dislike about Great Expectations?** I don’t have any personal dislikes about Great Expectations. **What problems is Great Expectations solving and how is that benefiting you?** It can benefit you by giving you confidence in your data, catching data issues quickly, streamlining knowledge capture, and developing rich data documentation. ### 10. Was very useful for DQ **Rating:** 4.5/5.0 stars **Reviewed by:** ramesh R. | Principal Consultant, Small-Business (50 or fewer emp.) **Reviewed Date:** April 19, 2023 **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. **What do you dislike about Great Expectations?** Nothing as such. all good. We are happy with the product **What problems is Great Expectations solving and how is that benefiting you?** It is very helpful for handling all my DQ challenges ### 11. As name defines - Great expectations **Rating:** 4.5/5.0 stars **Reviewed by:** Verified User in Accounting | Mid-Market (51-1000 emp.) **Reviewed Date:** April 04, 2023 **What do you like best about Great Expectations?** Simple user friendly tool and very rich documentation to deal with. **What do you dislike about Great Expectations?** The breakup of certain scenarios in multiple steps is quite difficult sometimes to manage the overall project scope, yet that is also important and manageable. **What problems is Great Expectations solving and how is that benefiting you?** It fulfills outliers validation very accurately and have enriched document library that supports individual to work with. - [View Great Expectations pricing details and edition comparison](https://www.g2.com/products/great-expectations/reviews?section=pricing&secure%5Bexpires_at%5D=2026-05-14+14%3A48%3A12+-0500&secure%5Bsession_id%5D=fdb341f1-ffde-4982-8d43-320e3bf45577&secure%5Btoken%5D=941a5dc84c95374faaa101b4e5c6f8680cb97c2d80e7f956d413a37dec4972f5&format=llm_user) ## Great Expectations Features **Functionality** - Real-time Analytics - Data quality monitoring - Automation - End to End visiblity **Management** - Anomaly identification - Single pane view - Real-time alerts - Data lineage - Integrations **Generative AI** - AI Text Generation **Functionality** - Identification - Correction - Normalization - Preventative Cleaning - Data Matching **Agentic AI - Data Observability** - Autonomous Task Execution - Multi-step Planning - Cross-system Integration - Natural Language Interaction - Proactive Assistance **Management** - Reporting - Automation - Quality Audits - Dashboard - Governance **Generative AI** - AI Text Generation - AI Text Summarization ## Top Great Expectations Alternatives - [Soda](https://www.g2.com/products/soda/reviews) - 4.4/5.0 (55 reviews) - [Monte Carlo](https://www.g2.com/products/monte-carlo/reviews) - 4.3/5.0 (511 reviews) - [Demandbase One](https://www.g2.com/products/demandbase-one/reviews) - 4.4/5.0 (1,891 reviews)