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Databricks pros and cons

Vendor: Databricks
4.1 out of 5
Badge Ranked 1
5,279 followers
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Pros & Cons summary

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Prominent pros & cons

PROS

Built-in optimization recommendations can significantly reduce query speed, enabling quicker decision-making and insight delivery.
Databricks supports a broad range of programming languages, facilitating model building either independently or in combination.
Its Lakehouse architecture provides efficient data governance and supports seamless integration with Spark for effective data processing.
Databricks facilitates scalable, fast data processing and analytics, handling large-scale and big data efficiently.
It combines data engineering, machine learning, and AI functionalities under one platform, supporting the entire end-to-end lifecycle of data projects.

CONS

Databricks could improve visualization capabilities, offering more advanced libraries for data science and machine learning.
Integration features are limited, with potential improvements in connecting with Git tools and streamlining data packets.
Documentation and support need enhancement, providing clearer guidelines and faster response times.
Databricks faces potential cost improvements, being considered pricey with limited trial options.
Scalability and performance could be optimized, particularly with integration and query capabilities.
 

Databricks Pros review quotes

reviewer1276782 - PeerSpot reviewer
Feb 9, 2020
Imageflow is a visual tool that helps make it easier for business people to understand complex workflows.
Axel Richier - PeerSpot reviewer
May 14, 2024
We can scale the product.
Avadhut Sawant - PeerSpot reviewer
Aug 16, 2023
A very valuable feature is the data processing, and the solution is specifically good at using the Spark ecosystem.
Learn what your peers think about Databricks. Get advice and tips from experienced pros sharing their opinions. Updated: January 2025.
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reviewer1558740 - PeerSpot reviewer
Apr 28, 2021
The initial setup is pretty easy.
RC
Jun 28, 2020
It's easy to increase performance as required.
Tristan Bergh - PeerSpot reviewer
Mar 16, 2020
The built-in optimization recommendations halved the speed of queries and allowed us to reach decision points and deliver insights very quickly.
reviewer2041779 - PeerSpot reviewer
Dec 16, 2022
What I like about Databricks is that it's one of the most popular platforms that give access to folks who are trying not just to do exploratory work on the data but also go ahead and build advanced modeling and machine learning on top of that.
AbhishekGupta - PeerSpot reviewer
Oct 8, 2022
The solution's features are fantastic and include interactive clusters that perform at top speed when compared to other solutions.
reviewer2058633 - PeerSpot reviewer
Jan 13, 2023
The most valuable feature is the Spark cluster which is very fast for heavy loads, big data processing and Pi Spark.
Sanjay Bheemasenarao - PeerSpot reviewer
Mar 18, 2022
Databricks has a scalable Spark cluster creation process. The creators of Databricks are also the creators of Spark, and they are the industry leaders in terms of performance.
 

Databricks Cons review quotes

reviewer1276782 - PeerSpot reviewer
Feb 9, 2020
The product needs samples and templates to help invite users to see results and understand what the product can do.
Axel Richier - PeerSpot reviewer
May 14, 2024
I would love an integration in my desktop IDE. For now, I have to code on their webpage.
Avadhut Sawant - PeerSpot reviewer
Aug 16, 2023
Generative AI is catching up in areas like data governance and enterprise flavor. Hence, these are places where Databricks has to be faster.
Learn what your peers think about Databricks. Get advice and tips from experienced pros sharing their opinions. Updated: January 2025.
831,881 professionals have used our research since 2012.
reviewer1558740 - PeerSpot reviewer
Apr 28, 2021
Overall it's a good product, however, it doesn't do well against any individual best-of-breed products.
RC
Jun 28, 2020
Instead of relying on a massive instance, the solution should offer micro partition levels. They're working on it, however, they need to implement it to help the solution run more effectively.
Tristan Bergh - PeerSpot reviewer
Mar 16, 2020
The product could be improved by offering an expansion of their visualization capabilities, which currently assists in development in their notebook environment.
reviewer2041779 - PeerSpot reviewer
Dec 16, 2022
I have had some issues with some of the Spark clusters running on Databricks, where the Spark runtime and clusters go up and down, which is an area for improvement.
AbhishekGupta - PeerSpot reviewer
Oct 8, 2022
CI/CD needs additional leverage and support.
reviewer2058633 - PeerSpot reviewer
Jan 13, 2023
It would be great if Databricks could integrate all the cloud platforms.
Sanjay Bheemasenarao - PeerSpot reviewer
Mar 18, 2022
If I want to create a Databricks account, I need to have a prior cloud account such as an AWS account or an Azure account. Only then can I create a Databricks account on the cloud. However, if they can make it so that I can still try Databricks even if I don't have a cloud account on AWS and Azure, it would be great. That is, it would be nice if it were possible to create a pseudo account and be provided with a free trial. It is very essential to creating a workforce on Databricks. For example, students or corporate staff can then explore and learn Databricks.