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Altair Knowledge Studio vs Azure Databricks comparison

 

Comparison Buyer's Guide

Executive Summary

Review summaries and opinions

We asked business professionals to review the solutions they use. Here are some excerpts of what they said:
 

Categories and Ranking

Altair Knowledge Studio
Ranking in Data Science Platforms
21st
Average Rating
8.0
Reviews Sentiment
8.9
Number of Reviews
2
Ranking in other categories
No ranking in other categories
Azure Databricks
Ranking in Data Science Platforms
20th
Average Rating
8.0
Reviews Sentiment
3.7
Number of Reviews
3
Ranking in other categories
No ranking in other categories
 

Featured Reviews

LS
Account Manager at JegaSure
Advanced decision trees and seamless data pattern analysis transform data preparation
One of the most valuable features of Altair Knowledge Studio is its decision trees, which are quite advanced and popular compared to other tools. The Segment Viewer is another unique feature that provides a comprehensive view of data patterns and helps identify anomalies before creating decision trees. Additionally, the ability to export code in the language of SAS is valuable, and the tool's drag-and-drop functionality makes it accessible to business users without a coding background.
VishnuReddy2 - PeerSpot reviewer
Consulting Enterprise Architect at R2V2.ai
Unified data platform has supported real-time analytics and advanced machine learning workflows
The real-time processing with Azure Databricks is supported through integration from external systems, for which we have to go with tools such as Matillion's HVR or Kafka. I have experience using HVR, high-volume replication. You get real-time data replicated into Azure Databricks using these tools. When looking for performance metrics in Azure Databricks, it depends on the processing. It can process millions of records quickly, and it is driven by the Spark framework, which is pretty strong in terms of framework perspective. The columnar database is another strong feature which helps enhance its performance. Prior to the introduction of Unity Catalog, there was no metadata capability in Azure Databricks. It was very simplistic, but now with the Unity Catalog introduction and Delta Sharing capabilities, Azure Databricks is at the top-notch at this point in time. In comparison, SAP BW is a little bit more mature because apart from RBAC, it gives data-level authorization, which is a little bit not that great in Azure Databricks at this point in time.

Quotes from Members

We asked business professionals to review the solutions they use. Here are some excerpts of what they said:
 

Pros

"One of the most valuable features of Altair Knowledge Studio is its decision trees, which are quite advanced and popular compared to other tools."
"Azure Databricks gives the capability to handle a lot of big data use cases and machine learning use cases, but machine learning use cases need quite a lot of compute power, and that is where the cost spikes up."
"The best features in Azure Databricks for me are that it's easy to use, flexible, and has fast processing, and you can use multiple data types."
"Regarding the learning curve, it is a good technology; it is the first time I am working on a cloud platform, and before that, I have not worked on any data engineering tool that is on cloud, so it is good learning."
 

Cons

"It would be beneficial if Altair Knowledge Studio could offer a more unified platform that includes data preparation, predictive modeling, and model exportation."
"At this point, I cannot comment on the cost being ideal; it is on the higher side, but in the cloud-based environment, compared to on-premise, it could be far lesser in cost."
"I have given the product a rating of six out of ten just because I do not use all of the functionalities, and I see some direction for improvement as well; also, every product has something to improve, and I have not used many features in this product."
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Questions from the Community

What is your experience regarding pricing and costs for Altair Knowledge Studio?
The licensing is straightforward, and we have not encountered any pushbacks from our procurement team. The pricing is on par with market competitors.
What needs improvement with Altair Knowledge Studio?
It would be beneficial if Altair Knowledge Studio could offer a more unified platform that includes data preparation, predictive modeling, and model exportation. Having all these functionalities wi...
What is your primary use case for Altair Knowledge Studio?
I used Altair Knowledge Studio ( /products/altair-knowledge-studio-reviews ) mainly for data preparation and creating decision trees. We used SAS for data preparation and decision trees in Altair K...
What is your experience regarding pricing and costs for Azure Databricks?
Regarding the licensing cost of Azure Databricks, it has evolved quite a lot. The compute is the biggest cost, as with any other big data solutions. The storage cost is almost minimal or negligible...
What needs improvement with Azure Databricks?
Overall, my experience has been positive with Azure Databricks; they have many features, but there is no use case for me to use those features, such as Delta Live Tables and Genie. In my opinion, I...
What is your primary use case for Azure Databricks?
The primary use cases for me are the reportings I have to do, so I need to ingest data from the file and create reports. I do not utilize it for real-time data processing. I have not integrated Azu...
 

Also Known As

Angoss KnowledgeSTUDIO
No data available
 

Overview

 

Sample Customers

HSBC, MBNA, US Ban Corp, MasterCard Worldwide, Invesco, Citi Bank, ATB Financial, PayPal, Bajaj Finserv
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Find out what your peers are saying about Databricks, Amazon Web Services (AWS), Knime and others in Data Science Platforms. Updated: March 2026.
885,311 professionals have used our research since 2012.