We work on three platforms. Databricks is hosted on Azure for us, so we work with ADFS, Azure Data Factory, and also the AWS Cloud. We work for some customers.
Databricks Data Intelligence Platform
Databricks, Inc.External reviews
640 reviews
from
and
External reviews are not included in the AWS star rating for the product.
Big data processing software tool of 2025
What do you like best about the product?
The user interface is very easy to use and simple of databricks and navigation is also simple which helps you to do the things quickly
What do you dislike about the product?
Customer support need to improve and they need to recruit people in their team from Asia to overcome the regional language issue
What problems is the product solving and how is that benefiting you?
We used databricks for big data processing as we usually cater to US real estate client, we process large volume of data using the datbricks and able to find out some insights and patterns around the data and based on those result we presented the strategy to our clients for implementation and the end result is aslo very much satisfied and we retained most of our US client by giving them such kind of strategic planning.
A trusted partner for scalable and smart data workflows.
What do you like best about the product?
A productive maintenance solution for manufacturing equipment was implemented by my team using Databricks. We identified patterns that indicated potential failures by analysing IoT sensors data. What I like best about Databricks is the integration with IoT hubs, which allowed us to collect data from our devices. It also offers pre-build ML libraries which help us during the model development phase and saved us valuable time.
What do you dislike about the product?
Some optimal configurations needs to be added when integrating IoT data streams with Databricks, which was a bit complex. That's why we faced some challenges during this phase of project.
What problems is the product solving and how is that benefiting you?
Our team used Databricks to optimise inventory management by analysing sales pattern, supply, Chinita and seasonal trends. This automated pipeline/workflow, reduced errors and insured timely analysis. The platform also improved team collaboration, as multiple departments could view and edit the data directly within the Databricks environment.
Shared notebooks and scheduling enhance cost efficiency
What is our primary use case?
What is most valuable?
The notebooks and the ability to share them with collaborators are valuable, as multiple developers can use a single cluster. This reduces costs. The scheduling part is managed by Databricks itself, for example, when it is idle, it will automatically turn off. All these features are handled by Databricks, reducing costs. We do not need to schedule separately.
For example, on AWS EC2, we have to create a Lambda function or use System Manager templates to schedule EC2 and EMRs. Here, it is taken care of, saving significant resources.
Additionally, notebooks can be shared within the development team which saves effort. Developers can share their notebooks. Git and Azure DevOps integration on the Databricks side is also very helpful.
What needs improvement?
The API deployment and model deployment are not easy on the Databricks side. We use MLflow for managing MLOps, however, further improvement would be beneficial, especially for large language models and related tools. Moreover, the API deployment should be simplified for ease of deployment and consumption.
For how long have I used the solution?
I have been using Databricks for approximately two and a half to three years.
What do I think about the scalability of the solution?
We have not faced any shortages so far. The clusters are available on demand, thus we have not encountered any scalability issues.
How are customer service and support?
We mostly had limited data support required from Databricks. Whenever we did need support, within two or three days the problem was solved. I would rate them ten out of ten.
How would you rate customer service and support?
Positive
What about the implementation team?
We bought it as a service, which is why we never implemented it ourselves. We do not have any implementation team.
Which other solutions did I evaluate?
For companies focused solely on data transformation, transferring data between databases, and not tackling machine learning or deep learning problems, I recommend ADF. It would be sufficient and cost-saving compared to a full-fledged solution like Databricks. However, for data analytics and solving ETL problems, one should consider Databricks.
What other advice do I have?
I would rate it nine out of ten.
Ease of use
What do you like best about the product?
Ease of use, allows using more than one programming language, and allows developing dashboards
What do you dislike about the product?
I am still learning to use it but I don't like it when it takes a long time to load the cluster.
What problems is the product solving and how is that benefiting you?
Integration with other tools
God Plataform
What do you like best about the product?
Ease of use, Number of Features and Customer Support
What do you dislike about the product?
current moment I have no negative points
What problems is the product solving and how is that benefiting you?
ETL resolution and database query at the first moment, doing AI tests
Multifunctional Platform for Data Analytics
What do you like best about the product?
Databricks is a complete platform wherethere users can enjoy a big pool of tools regarding data universe.
What do you dislike about the product?
I have no bad point about the platform...
What problems is the product solving and how is that benefiting you?
Find data and informations in a easy way.
One of the best data insights generation tool using latest ML Technology
What do you like best about the product?
I liked the pricing , with minimum pricing you are getting too many features and also the customer support is top notch and ready to help you in all the possible ways
What do you dislike about the product?
User interface needs to be betters, currently is any new person comes and see the software he gets confused, need to have easy interface
What problems is the product solving and how is that benefiting you?
We specially used this for getting insights from very huge database of our company, by using this software we were able to identify trends and based on those inputs only made future marketing startegy and changes in the existing product based on the customer database insights. this is really helpful softwware
Databricks - Unified platform to implement GenAI and Governance for any Company
What do you like best about the product?
Databricks provide DBRX and AI powered inteligence in platform that helps Data Engineering and Analytics team to speedup thier work and also solve complex problems within minutes, implementation of GEN AI (RAG) is very simple in databricks with latest features.
What do you dislike about the product?
Databricks doing great in DATA and AI domain and helping users to solve thier complex issue , adding new builtin sql function will help a lot in data analysis.
What problems is the product solving and how is that benefiting you?
Databricks helping Data Analytics team to write the business logic with the help of GENIE where user does not required to know more complex SQL query to extract the info also it helps to create dashboard with AI.
One place for all that we need
What do you like best about the product?
Learning and using Databricks Data Intelligence Platform makes me had a new view about the solution. It's incredible how Databricks can leverage a simple interface with unified solutions for all needs and business cases and known tools with a lot of improved resources that helps us on daily basis like, Predictive I/O, Delta Tables, etc.
What do you dislike about the product?
At this point, nothing bother me into the platform.
What problems is the product solving and how is that benefiting you?
Databricks have been helping integrate BI Tools, like Power BI; colaborate and create queries, scripts and projects with other team mates; deliver a great performance and result response for large queries.
Intelligence platform honest review
What do you like best about the product?
Everything at one place for development. Additionally, DABS will alleviate our CICD requirements.
What do you dislike about the product?
Dashboard monitoring feature is half baked, it need too much improvement
What problems is the product solving and how is that benefiting you?
For our proprietary solution ensuring data privacy and compliance is critical as well as challengeing so there databricks platform came into picture. It has plenty of features like data governance, role based access control and compliance with standards. These features are very helpful to achieve our goal
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