Databricks Data Intelligence Platform
Databricks, Inc.External reviews
637 reviews
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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.
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
Databricks streamlines data pipelines and data ownership
What do you like best about the product?
I love using the version controlled DBSQL authoring environment. It promotes collaboration and ownership. I build dashboard features daily and it's a real time saver. Managing databricks asset lifecycles is also very easy to integrate using DABs and git version control.
What do you dislike about the product?
Looking forward to liquid clustering to optimize dashboards automatically !
What problems is the product solving and how is that benefiting you?
I can write any SQL I want, over any sized table I have, and it just works !
Cloud Data Governance
What do you like best about the product?
Unity catalog organizes metadata and allows use to deploy a data mesh approach for a domain structure.
What do you dislike about the product?
Lack of a true semantic layer that would allow for alias names or descriptions for data.
What problems is the product solving and how is that benefiting you?
Allowing for automated scan of technical metadata
Simplify development and increase velocity
What do you like best about the product?
Streamline development process by seamlessly connecting with Unity Catalog
What do you dislike about the product?
Result accuracy and ability to vertically knowledge base connection
What problems is the product solving and how is that benefiting you?
Centralized data government module provided by Unity Catalog and data lineage capturing
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