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Reviews from AWS customer

6 AWS reviews

External reviews

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


3-star reviews ( Show all reviews )

    Vinit k.

A great tool for tuning your hyperparameters

  • June 20, 2021
  • Review provided by G2

What do you like best about the product?
One of the best utilities for packing code into reproducible runs and tuning the hyperparameters.
What do you dislike about the product?
Merge with Azure data bricks was not very smooth & giving problems while using GPU cores.
What problems is the product solving and how is that benefiting you?
I was making a recommendation system on Azure Databricks, & I tuned the hyperparameters of my model using the MLflow utility. It served the overall purpose and was giving satisfying results in A/B testing.


    Computer Software

Great product for uncovering data insights but not made for team projects

  • November 05, 2018
  • Review provided by G2

What do you like best about the product?
You can sync data from different systems all onto this one platform and everything can be analyzed without switching programs since you can also use many different programming languages and reap the benefits of each such as SQL and Python. This makes it so much easier to work with large datasets. Very nice user interface too!
What do you dislike about the product?
Very difficult to collaborate on projects using Databricks, it is its biggest downfall and in fact just almost outweighs the benefits. I also don't think their customer support is the best, have had some challenges with that. Otherwise a very good product.
What problems is the product solving and how is that benefiting you?
Great way to uncover data insights easily from large datasets.
Recommendations to others considering the product:
Keep in mind that you cannot collaborate on products. Technical support is also not the best!


    Financial Services

Hassle free Spark

  • November 28, 2016
  • Review provided by G2

What do you like best about the product?
One of the best features on the platform is the ability to use a notebook environment and attach them to different Spark interpreters. I do like the user interface and the easy access to browsing files stored on the cluster.
What do you dislike about the product?
Controls are not really developed, it is hard to optimize runtimes. Databricks is expensive and we can not say it is the best for price/value.
What problems is the product solving and how is that benefiting you?
Tracking performance of millions of loans. We get responses much faster than without using big data tools. Some of the queries we run took days previously while now they take only minutes.
Recommendations to others considering the product:
Try to avoid Databricks proprietary special operators as they will not work outside of this environment.