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Databricks pros and cons

Vendor: Databricks
4.1 out of 5
Badge Ranked 1

Pros & Cons summary

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Prominent pros & cons

PROS

Databricks offers robust performance enhancements, reducing query times significantly and enabling swift decision-making.
It provides scalability, handling large datasets and offering flexibility in data processing and machine learning tasks.
The platform integrates seamlessly with multiple programming languages, allowing diverse coding practices for data manipulation.
Databricks facilitates efficient data governance and management, supporting lakehouse architecture for data integrity.
The platform's ease of collaboration and access to secure data fosters effective teamwork across data projects.

CONS

Databricks could improve data visualization capabilities and compatibility with more advanced libraries.
There are limitations with integration and direct connectors, especially for streaming events.
Pricing could be more competitive as it's relatively high for small workloads.
Automated machine learning support and integration with Git tools would enhance functionality.
Databricks' documentation and ease of setup could be improved for better user experience.
 

Databricks Pros review quotes

SimonRobinson - PeerSpot reviewer
Governance And Engagement Lead
Jan 12, 2026
The most significant benefit Databricks has brought to my company is the Unity Catalog.
Satyam Wagh - PeerSpot reviewer
Consultant at Nice Software Solutions
Feb 3, 2026
Databricks is a truly essential platform for data engineering needs, and I recommend it to anyone looking to advance in the data engineering field.
ShubhamSharma7 - PeerSpot reviewer
Data Engineer at a engineering company with 1,001-5,000 employees
Jan 3, 2025
Databricks offers various courses that I can use, whether it's PySpark, Scala, or R.
Learn what your peers think about Databricks. Get advice and tips from experienced pros sharing their opinions. Updated: June 2026.
900,644 professionals have used our research since 2012.
BP
Data Platform Architect at KELLANOVA
Apr 28, 2025
Databricks has a Unified Catalog that assists with secured access and governance.
IshwarSukheja - PeerSpot reviewer
Head CEO at bizmetric
Jan 10, 2025
Databricks serves as a single platform for conducting the entire end-to-end lifecycle of machine learning models or AI ops.
Parag Bhosale - PeerSpot reviewer
Senior Data Engineer at a logistics company with 51-200 employees
Jan 8, 2025
Having one solution for everything, from data engineering to machine learning, is beneficial since everything comes under one hood.
Rama Subba Reddy Thavva - PeerSpot reviewer
Solution Architect at Mercedes-Benz AG
Jan 8, 2025
The notebooks and the ability to share them with collaborators are valuable, as multiple developers can use a single cluster.
May 28, 2026
The features of Databricks have impacted my organization positively, as it has done so very efficiently since we switched from several platforms to using this one.
AC
Data Engineer at a tech vendor with 1,001-5,000 employees
May 28, 2025
Databricks is definitely a very stable product and reliable.
LK
Data Engineer at CRAFT Tech
May 15, 2025
I think Databricks is very good at facilitating AI and machine learning projects; they implement AI and machine learning models very well, and clients can run their models on Databricks.
 

Databricks Cons review quotes

SimonRobinson - PeerSpot reviewer
Governance And Engagement Lead
Jan 12, 2026
So far, we're not measuring any return on investment, such as saving time, money, or resources with Databricks.
Satyam Wagh - PeerSpot reviewer
Consultant at Nice Software Solutions
Feb 3, 2026
However, the platform could become easier to use.
ShubhamSharma7 - PeerSpot reviewer
Data Engineer at a engineering company with 1,001-5,000 employees
Jan 3, 2025
As a data engineer, I see cluster failure in our Databricks user databases as a major issue.
Learn what your peers think about Databricks. Get advice and tips from experienced pros sharing their opinions. Updated: June 2026.
900,644 professionals have used our research since 2012.
BP
Data Platform Architect at KELLANOVA
Apr 28, 2025
The initial setup of Databricks could be complex.
IshwarSukheja - PeerSpot reviewer
Head CEO at bizmetric
Jan 10, 2025
One area of improvement is the Databricks File System (DBFS), where command-line challenges arise when accessing files. Standardization of file paths on the system could help, as engineers sometimes struggle.
Parag Bhosale - PeerSpot reviewer
Senior Data Engineer at a logistics company with 51-200 employees
Jan 8, 2025
We often use a single cluster to ingest Databricks, which Databricks doesn't recommend. They suggest using a no-cluster solution like job clusters. This can be overwhelming for us because we started smaller.
Rama Subba Reddy Thavva - PeerSpot reviewer
Solution Architect at Mercedes-Benz AG
Jan 8, 2025
The API deployment and model deployment are not easy on the Databricks side.
May 28, 2026
I think the aspects of Databricks that should be improved are that it could be faster and that I would like to be able to run direct queries from the server.
AC
Data Engineer at a tech vendor with 1,001-5,000 employees
May 28, 2025
My experience with the pricing and licensing model is that it remains relatively expensive. Though it's less expensive than AWS, we still need a more cost-effective solution.
LK
Data Engineer at CRAFT Tech
May 15, 2025
In my opinion, areas of Databricks that have room for improvement involve the dashboards. Until recently, everyone used third-party systems such as Power BI to connect to Databricks for dashboards and reports, but they're now coming up with their IBI dashboard, and I think they're on the right track to improve that even further.