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Datafold

Datafold

Reviews from AWS customer

1 AWS reviews
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  • 1
  • 3 star
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External reviews

24 reviews
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External reviews are not included in the AWS star rating for the product.


    Hospital & Health Care

Great potential to transform your operations

  • October 07, 2021
  • Review provided by G2

What do you like best about the product?
Datafold has a broad set of features, and the support team has been very responsive.
What do you dislike about the product?
Setup is not as easy as it was billed to be. We've also encountered a fair number of bugs, and UI performance is slow at times.
What problems is the product solving and how is that benefiting you?
We wanted an easy way to understand our data flows and view data diff as a great tool to understand how code changes translate into data changes. We have yet to enable data diff, but lineage has already proved helpful as we refactor some of our pipelines. Being able to pull descriptions in yamls into a more widely accessible location helps improve understanding of our data in our organization.
Recommendations to others considering the product:
The product is still a bit immature, but the combination of features is unique and powerful. I think, in particular, data diff is a standout. As they work out the kinks and we get it fully integrated into our workflows, I expect it will be very impactful for us. Having a widely accessible place for our organization to understand our data fully will reduce friction and free up resources for higher-value work. I expect as they get more traction in the market the tool will get even better and hopefully easier to setup.


    Andrew B.

DataFold fills a core gap in your modern data stack

  • October 06, 2021
  • Review provided by G2

What do you like best about the product?
The Data Diff feature enables data teams to push new code with confidence. Combined with the Column Lineage feature, bugs and regressions are greatly reduced.
What do you dislike about the product?
Data catalog discovery needs more attention
What problems is the product solving and how is that benefiting you?
Code quality at the review stage had been a big problem. A change early on in the stack had downstream regressions which were not caught by engineers. Data Fold's integration with GitHub brings any issues with a change directly into the code review.


    Alyce G.

Simple but powerful tool

  • October 06, 2021
  • Review provided by G2

What do you like best about the product?
1) UI is very intuitive; it took me a few hours to figure out how to use the tool
2) The option to input queries creates a lot of flexibility for data quality monitoring, which is an unsolved problem by other tools
3) Alerting available through anomaly detection & setting bounds, which allows for domain knowledge & automated detection
4) Support team is very responsive to feedback
What do you dislike about the product?
No integration with Datadog / Pagerduty yet (alerting only available through email)
What problems is the product solving and how is that benefiting you?
Data quality monitoring without hard failures -- most other tools are too inflexible & force hard failures on pipelines.


    Wholesale

Powerful, user-friendly tool for data observation and exploration

  • October 04, 2021
  • Review provided by G2

What do you like best about the product?
Datafold is easy-to-use and complements my workflow well by helping me quickly understand the data I'm working with
What do you dislike about the product?
May struggle with extremely large tables
What problems is the product solving and how is that benefiting you?
Understanding the lineage and contents of my data.


    Zack B.

Datafold shines a light on the changes you might now know you are making to your data

  • October 04, 2021
  • Review provided by G2

What do you like best about the product?
Datafold makes it easy to see how the changes you make impact your data through easy-to-understand visualizations and tooling. Their integration with DBT helps make this incredible easily.
What do you dislike about the product?
Datafold does an excellent job for its intended purpose. Obviously, when you are deliberately making changes to your data, you need to be thoughtful about if the changes you are seeing are what you intended. It can require a bit of work to do this, but that is unavoidable.
What problems is the product solving and how is that benefiting you?
There have been a few larger code refactoring projects that Datafold has been an enormous help with. Since the project's goal is to have the output be the same, Datafold makes understanding if you achieved this incredibly straightforward.