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Reviews from AWS Marketplace

3 AWS reviews

External reviews

497 reviews
from G2

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


    Ambesh S.

Still learning the insights of lake house

  • June 28, 2023
  • Review provided by G2

What do you like best about the product?
Solving data silos. Now i can query all my datain a unified manner
What do you dislike about the product?
Not finding rich documentation of lakehouse
What problems is the product solving and how is that benefiting you?
It is solving the problem of data silos and limitations of data lake


    Tushar C.

LakeHouse for Beginners

  • June 28, 2023
  • Review provided by G2

What do you like best about the product?
Easy of learning and everything at one place
What do you dislike about the product?
Mostly used upon azure and not on GCP as it's not integrated well within GCP
What problems is the product solving and how is that benefiting you?
Easy for SQL users


    Chloe Z.

Experience as a New User

  • June 28, 2023
  • Review provided by G2

What do you like best about the product?
My favorite part abt databricks lakehouse platform would be to have an integrated UI and connecting SQL/DS and ML space. It also has clear instructions on connecting to 3rd party tools.
What do you dislike about the product?
The help documents sometimes are little hard to navigate and i would need to go thru google search instead. wish there could also be AI modules in the future to answer questions.
What problems is the product solving and how is that benefiting you?
it helps with data exploring thru SQL queries and visualization tool,and the result was very easy to share with business users. It also help build clear ETL pipelines to streamline the process.


    Renu J.

Fast and Time saving processes

  • June 28, 2023
  • Review provided by G2

What do you like best about the product?
Making tasks easy and quick, Real time monitoring just on so easy
What do you dislike about the product?
Nothing , I like all the processes and their marketing strategies
What problems is the product solving and how is that benefiting you?
Real Time analysis of everyday store devices data within 15 min interval


    Lucas R.

Amazing platform

  • June 28, 2023
  • Review provided by G2

What do you like best about the product?
Easy to use and to ML and data engineers to work
What do you dislike about the product?
Little confusion on the last few updates
What problems is the product solving and how is that benefiting you?
Demand forecasting and data structuring


    Amol D.

Data + AI Summit

  • June 27, 2023
  • Review provided by G2

What do you like best about the product?
Scaling applications with databricks, hugging face with marketplace agents.
What do you dislike about the product?
Need to be more user friendly and engaging.
What problems is the product solving and how is that benefiting you?
A data sharing journey through modern data stack.


    Ayush S.

Beast When It Comes To Data On Cloud

  • June 21, 2023
  • Review verified by G2

What do you like best about the product?
1. ACID compliance on Data Lake which saves not only cost for storage but makes queries faster.
2. Customizable as per budget (by use of correct cluster sizing and other ways)
3. Init Scripts is really a boon if used correctly.
What do you dislike about the product?
1. Clusters often take up a lot of time to start up.
2. Many bugs were encountered personally on the new Unity Catalogue feature.
3. Missing Information Schema on Hive_Metastore.
What problems is the product solving and how is that benefiting you?
The primary problem that Databricks Lakehouse Platform is solving is storing and processing big data. With its support of a wide variety of languages like Python, Scala, Sql etc it becomes mighty and helpful to process data. Role-based access management is a blessing for data governance.


    Florent P.

Databricks is the heart of our IAplatform which allows experimentation and industrialization

  • June 14, 2023
  • Review verified by G2

What do you like best about the product?
We have been using Azure data bricks for over three years. The evolution of data bricks is impressive, as well as its stability. When our users (data engineer, data scientist) want a new feature, it very often happens that within a week or three months, this feature is developed by the Databricks team. Magic
What do you dislike about the product?
As a user, if you want to keep pace with the new features and capacity of the platform, you have to stop sleeping :) And yet the documentation is abundant, and the media is of good quality.
What problems is the product solving and how is that benefiting you?
Sentiment detection use cases, anomaly/fraud detection, risky customer detection. By associating it with cognitive services, identity document recognition use cases, kyc.


    Ishant T.

Very Powerful Tool

  • June 02, 2023
  • Review provided by G2

What do you like best about the product?
Unified Data Platform
Apache Spark Power
Machine Learning Capabilities
Scalability and Elasticity
Data Integration and Connector
Unity Catalog and Data Governance

These are a few key points on what I like most about Databricks.
What do you dislike about the product?
Computations are costly
Dependency on Cloud Infrastructure
Limited Offline access

As of now, I can think of these points on what I dislike about Databricks Platform
What problems is the product solving and how is that benefiting you?
Mostly, I use this tool to create Data Pipelines using Apache Spark. And it also gives us the capability to connect Databricks to Tableau for Data Visualisation directly.


    Gowtham S.

Great Data Handling & Management platform.

  • May 23, 2023
  • Review provided by G2

What do you like best about the product?
This tool supports almost all types of data.
Supports even the partially arranged/aligned data also.
Provides a way for better data handling and Management ( like Unified View, graphical view, and Comparision graphs ), which helps in better decision-making.
What do you dislike about the product?
Need a specified or specialized consultant to set up the tool because of the adaptability of this tool is complex.
Pricing is high compared to similar tools in the market.
What problems is the product solving and how is that benefiting you?
1) To build a unified portal for Data's unified view: From the legacy application of having data in different places, used this tool to create a unified portal of the data.
2) To integrate with AI and Machine Learning tools: Having the data in a unified way using this tool helps us to integrate with other devices ( But this required some high technical expertise)