We performed a comparison between Databricks and Knowage based on real PeerSpot user reviews.
Find out what your peers are saying about Databricks, Microsoft, Alteryx and others in Data Science Platforms."It can send out large data amounts."
"One of the features provides nice interactive clusters, or compute instances that you don't really need to manage often."
"I like how easy it is to share your notebook with others. You can give people permission to read or edit. I think that's a great feature. You can also pull in code from GitHub pretty easily. I didn't use it that often, but I think that's a cool feature."
"The solution offers a free community version."
"In the manufacturing industry, Databricks can be beneficial to use because of machine learning. It is useful for tasks, such as product analysis or predictive maintenance."
"The most valuable aspect of the solution is its notebook. It's quite convenient to use, both terms of the research and the development and also the final deployment, I can just declare the spark jobs by the load tables. It's quite convenient."
"Databricks gives you the flexibility of using several programming languages independently or in combination to build models."
"There are good features for turning off clusters."
"The embedding feature is great."
"I can't name the features the way the Knowage community calls them because I still don't know the lingo. However, I can describe them. I like the ability to join more than one report, set all fields on one end, and replicate that on the other reports. I like that a lot. I think it's one of the features that got me using Knowage. They have tables, and I like that too. They took SQL scripts and many other scripts and enabled them to even correlate with Python. That's also one of the best things about Knowage. You could also decide to get information per user role, and this is also a feature that I like in Knowage."
"We can easily do our own customizations."
"The concept of engines is quite powerful allowing the user to work with report authoring/provisioning tools of their choice."
"The tool should improve its integration with other products."
"In the future, I would like to see Data Lake support. That is something that I'm looking forward to."
"Databricks has a lack of debuggers, and it would be good to see more components."
"Generative AI is catching up in areas like data governance and enterprise flavor. Hence, these are places where Databricks has to be faster."
"I would like it if Databricks adopted an interface more like R Studio. When I create a data frame or a table, R Studio provides a preview of the data. In R Studio, I can see that it created a table with so many columns or rows. Then I can click on it and open a preview of that data."
"The product should incorporate more learning aspects. It needs to have a free trial version that the team can practice."
"The interface of Databricks could be easier to use when compared to other solutions. It is not easy for non-data scientists. The user interface is important before we had to write code manually and as solutions move to "No code AI" it is critical that the interface is very good."
"Databricks can improve by making the documentation better."
"The only challenge here is that it's a Java-based platform. It requires very high technical skills."
"Development of SpagoBI has now been moved to Knowage. Users interested in further developments of the platform will have to look there."
"The dashboard components could be better."
"It would be better if more resources were available to help us learn how to use it. I wanted to use Knowage for a more extended period, but learning materials around the product were not really available and were not really straightforward. I've also seen inconsistencies between versions. For example, under the tools, especially in the cockpit, the way you create reports is now different. You will also find some configurations within a particular state, like a line chart, which differs from version to version. I think consistency is an essential feature in a product, especially for business intelligence products."
Earn 20 points
Databricks is ranked 1st in Data Science Platforms with 78 reviews while Knowage is ranked 19th in Reporting. Databricks is rated 8.2, while Knowage is rated 7.6. The top reviewer of Databricks writes "A nice interface with good features for turning off clusters to save on computing". On the other hand, the top reviewer of Knowage writes "Easy to customize, cross-platform capable, and very stable". Databricks is most compared with Amazon SageMaker, Informatica PowerCenter, Dataiku Data Science Studio, Microsoft Azure Machine Learning Studio and Dremio, whereas Knowage is most compared with Microsoft Power BI, Tableau, Pentaho Business Analytics and SAP BusinessObjects Business Intelligence Platform.
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