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Databricks pros and cons

Vendor: Databricks
4.1 out of 5
Badge Ranked 1
5,277 followers
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Pros & Cons summary

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Prominent pros & cons

PROS

Databricks offers significant speed improvements in data processing, enabling faster decision-making and insight delivery.
Users appreciate the seamless integration with various data sources and the ability to handle large volumes of data efficiently.
The collaborative features and ease of automation through the API significantly enhance productivity and project management.
Databricks supports multiple programming languages, allowing for flexible and powerful data model building.
The platform's scalable architecture and performance optimization features allow efficient handling of big data projects and machine learning applications.

CONS

Databricks could be improved by offering an expansion of their visualization capabilities, which currently assists in development in their notebook environment.
The integration features could be more interesting, and more involved.
Some of the error messages are too vague and should be improved to make it easier for developers to debug problems.
There needs to be more compatible and advanced visualization and machine learning libraries.
Databricks could improve by providing better automation capabilities, such as working together with a more DevOps approach like continuous integration.
 

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: November 2024.
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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: November 2024.
816,636 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.