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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

Built-in optimization recommendations significantly improve query speed and enable quick insight delivery.
Databricks effortlessly connects to different data sources and simplifies the automation process through its API.
Performance is great, benefiting from a fast Spark cluster and scalable Spark cluster creation process.
The integration supports multiple programming languages, enhancing flexibility in building models.
Databricks is renowned for efficiently processing large-scale data with ease and speed.

CONS

Databricks could improve by offering expanded integration features and more compatibility with various platforms.
More comprehensive documentation is needed to help users understand and implement use cases effectively.
Error messages should be more descriptive to help developers debug issues efficiently.
Databricks has limitations with respect to connectors and integration with various business intelligence tools.
Pricing could be improved as costs can add up quickly.
 

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.
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.
Learn what your peers think about Databricks. Get advice and tips from experienced pros sharing their opinions. Updated: May 2026.
893,221 professionals have used our research since 2012.
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.
BP
Data Platform Architect at KELLANOVA
Apr 28, 2025
Databricks has a Unified Catalog that assists with secured access and governance.
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.
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.
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.
Monalisha Nayak - PeerSpot reviewer
Senior Data Engineer at Shell
Nov 12, 2024
It offers AI functionalities that assist with code management and machine learning processes.
 

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.
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.
Learn what your peers think about Databricks. Get advice and tips from experienced pros sharing their opinions. Updated: May 2026.
893,221 professionals have used our research since 2012.
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.
BP
Data Platform Architect at KELLANOVA
Apr 28, 2025
The initial setup of Databricks could be complex.
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.
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.
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.
Monalisha Nayak - PeerSpot reviewer
Senior Data Engineer at Shell
Nov 12, 2024
While Databricks is generally a robust solution, I have noticed a limitation with debugging in the Delta Live Table, which could be improved.