Sign in
Categories
Your Saved List Become a Channel Partner Sell in AWS Marketplace Amazon Web Services Home Help

Reviews from AWS customer

6 AWS reviews

External reviews

636 reviews
from and

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


    John S.

The Best Data Engineering Tool uses Delta Lake

  • January 02, 2025
  • Review provided by G2

What do you like best about the product?
This tool is very efficient because it using Delta lake. This supports ETL Pipelines and Machine Learning workflows which Guide to extract and transform data into Various forms. And i like the interactive notebooks supporting python language .
AutoML and Delta Lake is best features.
What do you dislike about the product?
This tool in begining there is complexity for using now it became simople.
What problems is the product solving and how is that benefiting you?
the problems solved this tool , hectic data analysis and processing many type of datas


    Sergio R.

The gold standard for scalable ML and Analytics

  • December 31, 2024
  • Review provided by G2

What do you like best about the product?
My team recently used Databricks to implement a machine learning model for fraud detection. We used the Delta Lake for data preprocessing and insured real time updates from our database. One of the most helpful features in Databricks is the Delta Lake functionality, which ensures data consistency. The platform supports both Python and SQL, which fills the cap between Data engineers and Analysts. This makes it easy for teams to collaborate. Customer support is another highlight as they respond quickly and provide clear guidance.
What do you dislike about the product?
While integrating Databricks with our existing Azure Data Lake, we faced issues syncing access permissions for multiple datasets. Additionally, their pricing models makes it better suited for large organisations, but for smaller teams scaling up can be expensive.
What problems is the product solving and how is that benefiting you?
In recent projects our sales and operation teams needed unified view of supply chain metrics. Using Databricks, we collected data from multiple sources and created a centralised dashboard and enabled real time reporting. This improved our decision making speeed and helped us prevent bottlenecks.


    Jessica S.

The best Bigdata Processing Tool

  • December 31, 2024
  • Review provided by G2

What do you like best about the product?
I have used this tool for past two years , the attractive feature were faster data processing and data warehousing. i can easily intergrate it with power bi so it become easy to implement it
What do you dislike about the product?
I dont like the interface of this tool , and also latency issues
What problems is the product solving and how is that benefiting you?
My main problem was processing data from clients and upload the processed data to cloud by using this , this task became very easy


    Ethan A.

The go-to platform for scalable data analysis and AI.

  • December 31, 2024
  • Review provided by G2

What do you like best about the product?
Databricks provides excellent tools for data engineering, machine learning and business analytics. The interactive notebooks makes exploring datasets straight forward, with support for multiple languages like python, SQL and Scala. We used Databricks to create a centralised data pipeline for customer sentiment analysis. With its ability to handle streaming data, we integrated Twitter feeds, customer reviews and support tickets into single databset.
What do you dislike about the product?
We faced difficulties while integrating Databricks with a on-premises database due to limited support for hybrid environment. This required building a custom connector, with took additional time.
What problems is the product solving and how is that benefiting you?
Our data science team used Databricks to build a recommendation engine for our e-commerce client. Which was only possible because of Databrick's ability to process large datasets efficiently and provide insights faster. Also, collaborative notebooks enabled team members to debug issues and refine the algorithm together.


    Arsath H.

Revolutionizing Data analytics and AI integration

  • December 31, 2024
  • Review provided by G2

What do you like best about the product?
MLflow , and coloborative notebooks are the main feature of this tool and anothere features i like about his is Data Lake Storage layer nd Auto ml model traing helps for efficient processing.
What do you dislike about the product?
I dont like the SQlanalytics feature , gives error most of time , better improving this .
What problems is the product solving and how is that benefiting you?
We using this tool for Data Warehousing and Dataprocessing in a bulk , by using this tool we can improve time efficently


    Lucas C.

Robust features for enterprise level workflows

  • December 31, 2024
  • Review provided by G2

What do you like best about the product?
Databricks is one of the most easy to use product for data scientists and engineers. The collaborative workspace is a stand out feature of this product which allows our team to share notebooks, visualise data together and manage produts. My team used Databricks to build a predictive model for customer churn analysis. Features like AutoML accelerated model development and integration with Azure Data Lake made it easy to pull in live data streams.
What do you dislike about the product?
During an implementation project, our team struggled to configure cluster settings to optimise cost and performance. We wasted time troubleshooting issues because the documentation didn't provide clear guidance on this specific case.
What problems is the product solving and how is that benefiting you?
It's scalability has been a game changer for our organisation. By leveraging its cluster computing capabilities, we can handle large data set efficiently which enables quick analysis of project and provides valuable insights.


    Akash K.

Big Data processing using Databricks

  • December 31, 2024
  • Review provided by G2

What do you like best about the product?
the best feature in this tool is end to end machine learning life cycle ,and api for data processing. This tool also have Delta sharing and cross-functional collaboration by this big data can be processed efficiently.
What do you dislike about the product?
We cant process specific use cases in data processing and also this tool is not affordable
What problems is the product solving and how is that benefiting you?
We used this product because of data reliablility and security, this tool has high security and high speed data processing


    Natalie A.

The tool that made data management easier for us

  • December 30, 2024
  • Review provided by G2

What do you like best about the product?
One thing that strikes me about Databricks is the fact that the platform offers robust methodologies for working with big data while maintaining tremendously high efficiency. I also like how it can be set up to work with multiple jobs at once and is highly beneficial for working on different kinds of datasets in parallel. The integrated collaboration tools enable multiple authors to edit a given document simultaneously hence enhancing the flow of information in the team.
What do you dislike about the product?
The issue that Databricks could address is the insufficient tools for identifying and addressing problems. While the platform is useful, it’s sometimes not clear where errors lie, meaning that faults might not be as easy to identify. It can result in further time consumed in error analysis in large processes arrangements since these classifications are vague. At times it seems as though there is great strain to searc original solutions thereby slowing the process.
What problems is the product solving and how is that benefiting you?
It has been difficult to perform data tasks end to end but with the help of Databricks the problem has been solved. The software has highly facilitated packing of our repetitive work like data cleaning and formatting, hence save more time on crucial parts of the projects. Not only this automation has saved our time but also has made our process highly standardized later on. The aspects of speed and accuracy have, therefore, proved beneficial in helping the business make faster decisions with data.


    Sanjay R.

The best Data-intelligence platform

  • December 29, 2024
  • Review provided by G2

What do you like best about the product?
We used this platform last year , the data analysis of unified data , and with the use of artificial intelligence , it has very high security and it is scalable for data teams.the performanace of this platform is best feature
What do you dislike about the product?
Some time minor bugs and error shown , price is little bit expensive , but it is worth
What problems is the product solving and how is that benefiting you?
Before using this platform it is very hard to data processing and all and after using this time and manpower saved.


    john g.

Databricks Data Intelligence Platform Review from Zoho

  • December 28, 2024
  • Review provided by G2

What do you like best about the product?
We are using this Platform for the lakehouse architecture that for processing data lakes and datawarehouses is a powerfu feature , and also for better scalabality and performance
What do you dislike about the product?
not beginner freindly and cost is also expensive
What problems is the product solving and how is that benefiting you?
We are using it for data analytics and big data , this platform is increasing out productivity