Databricks Data Intelligence Platform
Databricks, Inc.External reviews
637 reviews
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Databricks simplify data work and scale effortlessly !
What do you like best about the product?
What I really like about Databricks is how it brings every technical requirements under one space like kind one stop place for anything related to data. From cleaning and organizing to building machine learning models, it makes the whole process less messy. We could work as a team without constantly emailing or switching tools. Performance wise, it holds up even when we throw big workloads at it, and it connects well with other tools we use. Real-time data processing is smooth, and I’ve noticed we get insights much faster now. It’s also got solid controls around data access and tracking, which gives peace of mind on the security side. Overall, it's a smart, efficient platform that makes working with data feel way more natural.
What do you dislike about the product?
Databricks offers a good environment for data processing and analytics, but it does come with its set of challenges. One of the primary challenge is the learning curve, especially for those new to big data tools.But customer support really try their best.
What problems is the product solving and how is that benefiting you?
One thing I’ve noticed using Databricks is how much it cuts down on the usual complexity of big data work. Whether it's handling streaming feeds or batch jobs, it takes care of both in the same place, which saves time and confusion. We didn’t have to deal with a lot of setup or infrastructure headaches , things just scale up when needed, and performance stays solid even with heavier loads. It’s kind of like having a behind the scenes crew managing the technical weight so we can focus on the actual data insights. Makes life easier for the whole team.
Excellent integration with ML libraries and real time pipelines.
What do you like best about the product?
Predictive model for early hospital readmission risk detection was developed by our firm. We were processing sensitive health records using Databricks because security and compliance were our top priorities. Databricks support for HIPAA compliance and secure workspace management made it a trustworthy platform to host patient datasets. Using Delta Lake we handed the millions of records with the reliable performance. The integration with pandas and MLflow within notebook was also seamless. I especially appreciate the real time dashboard we build for a hospital admin staff to view live model prediction and alerts.
What do you dislike about the product?
During this project one of the biggest challenge we faced was setting up real time data streaming with HL7 format via Kafka into Databricks. While Databricks does support auto loaders but we had to write a fair amount of custom logic to parse and validate complex healthcare specific schemas
What problems is the product solving and how is that benefiting you?
We have seen improved collaboration across hospitals since each can now securely access insights and contribute feedback via shared notebooks and dashboards. Databricks has become the central nervous system for this project.
Future of Data Intelligence for Businesses
What do you like best about the product?
The built in visual tools help us understand data more easily. Instead of just seeing a bunch of numbers, I can spot trends and patterns clearly, which makes it easier to make smart decisions.
What do you dislike about the product?
Because it’s a cloud based platform, everytime I need a stable internet connection to use it. Sometime I am working offline or in places with spotty internet.
What problems is the product solving and how is that benefiting you?
I am really happy with how Databricks has transformed our data processes. It’s made things faster, simpler and more efficient which allowing to focus on insights rather than struggling with infrastructure.
Very reliable platform for modern data projects in company !
What do you like best about the product?
One thing I genuinely appreciate about Databricks is its ability to understand and adapt to our organization's specific data terminology. The platform's natural language interface makes it feel like I'm conversing with a colleague rather than navigating complex queries. Additionally, the AI-driven insights have significantly accelerated our decision making processes, allowing us to act fast on data trends. Overall its a good tool with fine customer support
What do you dislike about the product?
While Databricks is powerful there is definitely a learning curve when you're just getting into it. Also interface can be improved for mobile.
What problems is the product solving and how is that benefiting you?
We used to struggle a lot with keeping our data pipelines reliable , things would break in silos, and teams had no clear visibility. Databricks really helped us unify our data processes across departments. Now our different experts from seperate departments could easily work together . It is also helped in speeding up our model training workflows for our clients.
Centralised data management platform and excellent Ai features !
What do you like best about the product?
What i liked in Databricks is that it let us handle both raw and refined data in one go ,no need to bounce between tools. We are able to build pipelines, run analytics, and even go into ML models from the same environment.
The collaborative environment was excellent for our data engineers and analysts can work in real time without being lost in getting on same page . Also, the way it connects with AWS and Azure made onboarding a lot smoother for our hybrid cloud setup.
Honestly, the speed at which we can experiment and push insights to dashboards has helped us stay way more better than before. We are not just storing data anymore we’re using it intelligently without too much friction.
The collaborative environment was excellent for our data engineers and analysts can work in real time without being lost in getting on same page . Also, the way it connects with AWS and Azure made onboarding a lot smoother for our hybrid cloud setup.
Honestly, the speed at which we can experiment and push insights to dashboards has helped us stay way more better than before. We are not just storing data anymore we’re using it intelligently without too much friction.
What do you dislike about the product?
While Databricks brings a lot to the table, a few things still feel clunky. The UI especially when dealing with larger clusters i do find some little lag sometimes other than that i find no major problem.
What problems is the product solving and how is that benefiting you?
Before Databricks we were switching between multiple tools to clean, store, and analyze data . Which slowed everything down and made collaboration tricky. Databricks pretty much merged all of that under one roof.
One of the biggest wins has been the ability to process large datasets without worrying about performance bottlenecks. We’re now running real-time analytics that used to take hours, especially for sales and operations dashboards.
Also, their unified platform means our data engineers, analysts, and ML folks can actually work together without throwing files back and forth. It’s helped us push insights to business teams faster, and decisions are now backed by fresher, cleaner data.
One of the biggest wins has been the ability to process large datasets without worrying about performance bottlenecks. We’re now running real-time analytics that used to take hours, especially for sales and operations dashboards.
Also, their unified platform means our data engineers, analysts, and ML folks can actually work together without throwing files back and forth. It’s helped us push insights to business teams faster, and decisions are now backed by fresher, cleaner data.
Data and AI for everyone
What do you like best about the product?
Easy to use, but still technical enough.
What do you dislike about the product?
Still not the market leader, not public.
What problems is the product solving and how is that benefiting you?
Sharing data, ETL, Extracting value from it via dashboards for managers.
Good holistic platform starting big data all the way to latest AI
What do you like best about the product?
A platform that host wide varieties that can be used for for both Data Lake and Warehouse purpose
What do you dislike about the product?
Complexity in making things works, especially cluster management
What problems is the product solving and how is that benefiting you?
Started with the replacement of Hadoop & now many of Analytics practice offloaded to Databricks & Data Lake
Best Datalake
What do you like best about the product?
We moved to Databricks 3 years back and we are migrating our DW to Databricks using DLT. Love so far.
What do you dislike about the product?
Cost of serverless when we use serverless the cost spiked like 30%
What problems is the product solving and how is that benefiting you?
We use Databricks for DW and source for powerbi reports
Databricks for Data analysis
What do you like best about the product?
In this platform bulk data analysis is easy because this runs on Data intelligence engine which has generative Ai feature helps understand and process data. Databricks Assistant is very helpful.
What do you dislike about the product?
The interface is not good also pricing is not efficient.
What problems is the product solving and how is that benefiting you?
Data analysis, this tool is best and it solved bulk data analysis problem.
Databricks Simplifies Data Processing and AI Integration
What do you like best about the product?
Lakehouse architecture combines the best of data lakes and warehouses, offering ease of use, seamless integration and eliminating the need for complex data pipelines.
What do you dislike about the product?
Databricks is powerful but can be difficult for beginners, especially those unfamiliar with big data tools or SQL.
What problems is the product solving and how is that benefiting you?
Big data processing has become much more efficient. We now handle large volumes of data in real time, which allows us to generate AI-driven insights faster and make smarter business decisions.
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