External reviews
External reviews are not included in the AWS star rating for the product.
System monitoring, plugin availability
What do you like best about the product?
Data access is high-speed, and it has highly qualified resources. I like the ability to manage large amounts of business data, its user interface is very useful, and data analysis is a faster process. I like the ability to host modules for so many different parts.
What do you dislike about the product?
They require extensive experience to configure, and the quality module could be improved with better features. They require specific administration skills, making it difficult to manage application users.
What problems is the product solving and how is that benefiting you?
It helps businesses run their daily operations, offering a wide range of features. It also helps our organization manage databases, providing a secure environment for data.
- Leave a Comment |
- Mark review as helpful
Data Representation & Management Tool
What do you like best about the product?
Working on the Databricks where we can easily analyze huge datasets and integrate our platform or website to create an insight from our internal dataset. They have number of features that help us to manage all analytical views with pre define templates.
What do you dislike about the product?
Implementation was so quick and easy that help us to manage all data without any issues. I like their customer support services and their frequent use make them my favorite platform for data management.
What problems is the product solving and how is that benefiting you?
I have required a tool that help me to represent and analyze the data and I use Databricks and really their excellent platform make my work more reliable and easy to manageable for me. i always prefer them their pricing is little bit high but their services gives a big impact in my work.
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.
Perfect Solution For Data Base Management
What do you like best about the product?
Managing the workflow and dataset is very easy to use and integration our office tool with databricks also solve our lots of problem that create hassle on data handling.
What do you dislike about the product?
Implementing databicks pre defied templates on analysing dataset is very easy job for me where I can use dozens of methods without any efforts.
What problems is the product solving and how is that benefiting you?
Processing the data sets and analysing on databricks is very ease job for us and also they have verities of integration that help us on data management and machine learning operations to solve any application code without getting any error.
SQL is back
What do you like best about the product?
Optimized SQL execution on SQL Data Warehouse compute
What do you dislike about the product?
The platform is evolving quickly and frequent product name changes are confusing
What problems is the product solving and how is that benefiting you?
Ease of use and development. Bringing back ETL developer tools and SQL language data processing.
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.
Databricks your swiss army knife for your Data
What do you like best about the product?
What I like best as a Data Architect is the possibility to manage your data starting from the ingestion to the serving endpoints everything is managed and monitored in the same platform creating reusable resources optimizing costs and efforts while conserving full flexibility. All of that seasoned with open source mindset.
What do you dislike about the product?
I think the lakeflow connector are still in embryonic stage, I think it will get better with time but at the moment is not the best on the market
What problems is the product solving and how is that benefiting you?
our Data Platform is Databricks centric so basically anything we solve we data is solved with the intelligence platform. Moreover, the Data Intelligence Platform allowed to perform a strong Data Democratization which wouldn't be possible with other tools
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.
showing 11 - 20