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Databricks pros and cons

Vendor: Databricks
4.1 out of 5
Badge Ranked 1
5,280 followers
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Pros & Cons summary

Databricks delivers robust performance for processing large data volumes with integration into various programming languages, supporting comprehensive data workflows like analytics and machine learning. Automated processes enhance its value in data science tasks. However, visualization features need expansion and integration with more platforms is necessary. Error messages are vague, impacting debugging, and Spark cluster stability can be an issue. Test account options are lacking for those without cloud accounts.

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Prominent pros & cons

PROS

Databricks offers excellent integration with various coding languages and is highly compatible with Spark, enhancing data processing capabilities.
Its built-in optimization recommendations significantly improve query speed and facilitate quick data-driven decisions.
Databricks provides robust support for automation and data science applications, allowing users to streamline processes efficiently.
Users value its ability to manage and process large-scale data, both in batch and real-time, with exceptional speed and scalability.
Databricks is appreciated for its ability to handle a wide range of data engineering tasks and machine learning operations on a unified platform.

CONS

Databricks needs to expand its integration capabilities with other platforms and data packets.
Improvement is needed in visualization and machine learning library support to better serve data scientists.
Error messages in Databricks should be more descriptive to aid in easier debugging.
Better support for integration with cloud platforms and tools like Git could enhance user experience.
Databricks pricing is considered high and could be improved to offer better value.
 

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.
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Axel Richier - PeerSpot reviewer
May 14, 2024
We can scale the product.
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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.
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Databricks
February 2025
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reviewer1558740 - PeerSpot reviewer
Apr 28, 2021
The initial setup is pretty easy.
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RC
Jun 28, 2020
It's easy to increase performance as required.
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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.
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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.
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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.
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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.
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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.
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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.
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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.
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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.
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Buyer's Guide
Databricks
February 2025
Free Report: Databricks Reviews and More
Learn what your peers think about Databricks. Get advice and tips from experienced pros sharing their opinions. Updated: February 2025.
DOWNLOAD NOW
839,255 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.
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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.
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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.
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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.
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AbhishekGupta - PeerSpot reviewer
Oct 8, 2022
CI/CD needs additional leverage and support.
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reviewer2058633 - PeerSpot reviewer
Jan 13, 2023
It would be great if Databricks could integrate all the cloud platforms.
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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.
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Show 10 more reviews (out of 87)

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Product Categories
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Product Categories

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