kotomama
Boston
4.0
Support responded quickly
Had an issue with cluster scaling, but support helped fast.
lucy_m
Denver
4.0
Good platform but UI needs work
I appreciate the solid data engineering tools but the interface isn’t super intuitive. Had to spend extra hours training the team. Still, the end results justify the effort.
jane_smith
Seattle
3.0
Not quite what I expected
The data pipeline setup was confusing and buggy.
samantha_j
Houston
4.0
Works well for big data
Handles large datasets without crashing.
data_guy89
Chicago
3.0
Mixed feelings on performance
The platform is powerful but sometimes the Spark jobs lag unexpectedly. Support took a while to respond and fix issues. Hoping for smoother updates soon.
mark_w
Philadelphia
4.0
Solid platform with minor glitches
Databricks offers great scalability and integration options. Occasionally the notebook execution stalls and requires a restart. Still, it’s our go-to for complex data projects.
tech_guru47
New York, NY
5.0
Efficient and powerful platform
Databricks completely changed how our data team works together. The ability to run big data analytics and build machine learning models smoothly on one platform has saved us tons of time. Plus, the integration with cloud services makes deployment painless. I especially appreciate how the collaborative notebooks help us share insights instantly. Highly recommend for any company serious about data-driven decisions.
chris_t
Miami
3.0
Not very user-friendly
Too complex for quick data tasks.
trader_ru
San Francisco
4.0
Stable and efficient platform
Databricks handles big data jobs without hiccups.
Anna.K
New York
5.0
Great integration with cloud services
Loved how easy it was to connect to AWS and Azure.
Morgan
Austin, TX
4.0
Mostly Solid but Some Bugs
I've been using Databricks for about six months now to manage our ETL pipelines and collaborative analytics. The platform really speeds up data workflows with its integration of Apache Spark, which is a huge plus for our team. However, I've noticed occasional delays during peak hours and some glitches with notebook collaboration that slow us down. Support has been helpful but sometimes slow to respond when these issues pop up. it's boosting our productivity, just hoping they improve the collaboration features soon.
anna_lee
Portland
4.0
Good value for data teams
Our analysts found the collaborative features very helpful. The platform supports multiple languages which is a big plus. Wish the mobile app was more polished though.
michael_b
Atlanta
4.0
Powerful but with a learning curve and quirks
Started using Databricks about six months ago for building ML models. Initially, the documentation was a bit overwhelming especially for new data scientists on our team. We faced some trouble configuring the cluster autoscaling which caused downtime during our peak loads. However, once we got past those hurdles, the collaborative notebooks and integrated workflows significantly boosted our productivity. The platform’s ability to handle streaming data pipelines is impressive, though sometimes the UI responsiveness lags when running heavy queries.
julia.k
Seattle, WA
4.0
Great for data engineering workflows
Databricks' platform has made it much easier to run large-scale Spark jobs in the cloud. The UI is clean, and setting up clusters doesn't take forever like on other platforms I tried. A bit pricey though, which is the only downside for me.
max1990
Austin
5.0
Really streamlined our workflows
Databricks made collaboration way easier for my team.