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Great Expectations Reviews & Product Details

Rakshith N.
RN
Analyst
Small-Business(50 or fewer emp.)
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Validated Reviewer
Review source: Organic Review from User Profile
Incentivized Review
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.

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. Review collected by and hosted on G2.com.

Great Expectations Overview

What is 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 Details
Languages Supported
English
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Seller Details
Year Founded
2017
HQ Location
Remote, US
Twitter
@expectgreatdata
3,648 Twitter followers
LinkedIn® Page
www.linkedin.com
72 employees on LinkedIn®

EH
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Recent Great Expectations Reviews

Verified User
T
Verified UserMid-Market (51-1000 emp.)
4.5 out of 5
"Felt awesome using this product"
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 o...
Yeshwanth G.
YG
Yeshwanth G.Enterprise (> 1000 emp.)
5.0 out of 5
"Great Expectations is a great platform which helped us in validating and testing a data."
Great Expectations is a Python library which provides Expectations for data sources, so that users like us can define their own expectations or use...
Shwetha K.
SK
Shwetha K.Mid-Market (51-1000 emp.)
5.0 out of 5
"Great Expectations is an Amazing platform which helped me in Simplifying a Data."
Great Expectations is a python library that simplifies our data quality management by providing an easy-to-use interface.It also Allows data profes...
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Great Expectations Media

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10 out of 11 Total Reviews for Great Expectations

4.5 out of 5
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Great Expectations Pros and Cons

How are these determined?Information
Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
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Overall Review Sentiment for Great ExpectationsQuestion

Time to Implement
<1 day
>12 months
Return on Investment
<6 months
48+ months
Ease of Setup
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Sanjay  D.
SD
Data Analytics and Engineering
Small-Business(50 or fewer emp.)
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Validated Reviewer
Verified Current User
Review source: G2 invite
Incentivized Review
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.

AJ
Enterprise(> 1000 emp.)
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Validated Reviewer
Review source: G2 invite
Incentivized Review
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.
SK
Data Engineer
Mid-Market(51-1000 emp.)
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Validated Reviewer
Review source: G2 invite
Incentivized Review
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.
YG
Senior Software Engineer
Enterprise(> 1000 emp.)
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Validated Reviewer
Review source: G2 invite
Incentivized Review
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.

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. Review collected by and hosted on G2.com.

Verified User in Telecommunications
TT
Mid-Market(51-1000 emp.)
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Validated Reviewer
Review source: G2 invite
Incentivized Review
(Original )Information
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.

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 Review collected by and hosted on G2.com.

Verified User in Online Media
IO
Mid-Market(51-1000 emp.)
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Validated Reviewer
Review source: G2 invite
Incentivized Review
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.

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. Review collected by and hosted on G2.com.

Verified User in Banking
UB
Mid-Market(51-1000 emp.)
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Validated Reviewer
Review source: G2 invite
Incentivized Review
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.

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. Review collected by and hosted on G2.com.

Sunil K.
SK
SW/App/Cloud Tech Support Analyst
Small-Business(50 or fewer emp.)
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Validated Reviewer
Review source: G2 invite
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(Original )Information
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.

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. Review collected by and hosted on G2.com.

ramesh R.
RR
Principal Consultant
Small-Business(50 or fewer emp.)
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Validated Reviewer
Review source: G2 invite
Incentivized Review
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.

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

It is very helpful for handling all my DQ challenges Review collected by and hosted on G2.com.

Verified User in Accounting
IA
Mid-Market(51-1000 emp.)
More Options
Validated Reviewer
Review source: G2 invite
Incentivized Review
What do you like best about Great Expectations?

Simple user friendly tool and very rich documentation to deal with. Review collected by and hosted on G2.com.

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. Review collected by and hosted on G2.com.

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. Review collected by and hosted on G2.com.