Altair Knowledge Studio vs Databricks comparison

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Altair Knowledge Studio

Comparison Buyer's Guide

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Executive Summary

We performed a comparison between Altair Knowledge Studio and Databricks based on real PeerSpot user reviews.

Find out what your peers are saying about Databricks, Amazon Web Services (AWS), Knime and others in Data Science Platforms.

To learn more, read our detailed Data Science Platforms Report (Updated: August 2025).

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Data Science Platforms

August 2025

Helped 867,349 peers since 2012

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

22nd

Average Rating

8.0

Reviews Sentiment

8.9

Number of Reviews

Ranking in other categories

No ranking in other categories

Databricks

Ranking in Data Science Platforms

1st

Average Rating

8.2

Reviews Sentiment

7.0

Number of Reviews

Ranking in other categories

Cloud Data Warehouse (9th), Streaming Analytics (1st)

Mindshare comparison

As of September 2025, in the Data Science Platforms category, the mindshare of Altair Knowledge Studio is 0.5%, up from 0.2% compared to the previous year. The mindshare of Databricks is 14.5%, down from 19.8% compared to the previous year. It is calculated based on PeerSpot user engagement data.

Data Science Platforms Market Share Distribution
Product	Market Share (%)
Databricks	14.5%
Altair Knowledge Studio	0.5%
Other	85.0%

Data Science Platforms

Featured Reviews

Leo Sundararaj

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.

Read full review

ShubhamSharma7

Data Engineer at a engineering company with 1,001-5,000 employees

Capability to integrate diverse coding languages in a single notebook greatly enhances workflow

Databricks offers various courses that I can use, whether it's PySpark, Scala, or R. I can leverage all these courses in a single notebook, which is beneficial for clients as they can access various tools in one place whenever needed. This is quite significant. I usually work with PySpark based on client requirements. After coding, I feed the Databricks notebooks into the ADF pipeline for updates. Databricks' capability to process data in parallel enhances data processing speed. Furthermore, I can connect our Databricks notebook directly with Power BI and other visualization tools like Qlik. Once we develop code, it allows us to transform raw data into visualizations for clients using analysis diagrams, which is very helpful.

Read full review

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."

"The fast data loading process and data storage capabilities are great."

"We are completely satisfied with the ease of connecting to different sources of data or pocket files in the search"

"The setup is quite easy."

"The processing capacity is tremendous in the database."

"Databricks has a Unified Catalog that assists with secured access and governance."

"I would rate them ten out of ten."

"Databricks has improved my organization by allowing us to transform data from sources to a different format and feed that to the analytics, business intelligence, and reporting teams. This tool makes it easy to do those kinds of things."

"It's great technology."

More Databricks pros

Cons

"It would be beneficial if Altair Knowledge Studio could offer a more unified platform that includes data preparation, predictive modeling, and model exportation."

"The pricing of Databricks could be cheaper."

"Cluster failure is one of the biggest weaknesses I notice in our Databricks."

"There has been a significant evolution in databases. One area of improvement is the Databricks File System (DBFS), where command-line challenges arise when accessing files."

"Implementation of Databricks is still very code heavy."

"I have seen better user interfaces, so that is something that can be improved."

"The stability of the clusters or the instances of Databricks would be better if it was a much more stable environment. We've had issues with crashes."

"This solution only supports queries in SQL and Python, which is a bit limiting."

"It would be better if it were faster. It can be slow, and it can be super fast for big data. But for small data, sometimes there is a sub-second response, which can be considered slow. In the next release, I would like to have automatic creation of APIs because they don't have it at the moment, and I spend a lot of time building them."

More Databricks cons

Pricing and Cost Advice

Information not available

"The cost is around $600,000 for 50 users."

"We implement this solution on behalf of our customers who have their own Azure subscription and they pay for Databricks themselves. The pricing is more expensive if you have large volumes of data."

"The cost for Databricks depends on the use case. I work on it as a consultant, so I'm using the client's Databricks, so it depends on how big the client is."

"My smallest project is around a hundred euros, and my most expensive is just under a thousand euros a week. That is based on terabytes of data processed each month."

"Databricks is a very expensive solution. Pricing is an area that could definitely be improved. They could provide a lower end compute and probably reduce the price."

"I do not exactly know the costs, but one of our clients pays between $100 USD and $200 USD monthly."

"The price is okay. It's competitive."

"I would rate the tool’s pricing an eight out of ten."

More Databricks pricing and cost advice

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Top Industries

By visitors reading reviews

No data available

Financial Services Firm

17%

Computer Software Company

10%

Manufacturing Company

Healthcare Company

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

No data available

By reviewers
Company Size	Count
Small Business	25
Midsize Enterprise	12
Large Enterprise	56

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...

Which do you prefer - Databricks or Azure Machine Learning Studio?

Databricks gives you the option of working with several different languages, such as SQL, R, Scala, Apache Spark, or Python. It offers many different cluster choices and excellent integration with ...

How would you compare Databricks vs Amazon SageMaker?

We researched AWS SageMaker, but in the end, we chose Databricks. Databricks is a Unified Analytics Platform designed to accelerate innovation projects. It is based on Spark so it is very fast. It...

Which would you choose - Databricks or Azure Stream Analytics?

Databricks is an easy-to-set-up and versatile tool for data management, analysis, and business analytics. For analytics teams that have to interpret data to further the business goals of their orga...

KNIME Business Hub vs Altair Knowledge Studio

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Product Reports

Download Altair Knowledge Studio product report

Data Science Platforms

August 2025

Download Databricks product report

September 2025

Also Known As

Angoss KnowledgeSTUDIO

Databricks Unified Analytics, Databricks Unified Analytics Platform, Redash

Overview

Business intelligence and predictive analytics software suite from Angoss Software Corporation. KnowledgeSTUDIO is a market-leading business intelligence software product with data mining and predictive analytics capabilities including data profiling, advanced data visualization, advanced modeling, unsupervised learning, decision tree and strategy design functionality.

Altair

Databricks is utilized for advanced analytics, big data processing, machine learning models, ETL operations, data engineering, streaming analytics, and integrating multiple data sources.

Organizations leverage Databricks for predictive analysis, data pipelines, data science, and unifying data architectures. It is also used for consulting projects, financial reporting, and creating APIs. Industries like insurance, retail, manufacturing, and pharmaceuticals use Databricks for data management and analytics due to its user-friendly interface, built-in machine learning libraries, support for multiple programming languages, scalability, and fast processing.

What are the key features of Databricks?

User-friendly interface: Simplifies operations and usability.
Built-in machine learning libraries: Facilitates machine learning tasks.
Support for multiple programming languages: Enhances flexibility.
Scalability: Efficiently handles growing data needs.
Fast processing: Improves performance and speed.
Automated optimization: Reduces manual efforts.
Data visualization: Provides insightful visuals.
Collaborative features: Enhances teamwork.
Delta Lake performance: Boosts data management.
Seamless cluster management: Simplifies system operations.

What are the benefits or ROI to look for in Databricks reviews?

Efficiency in handling large datasets: Ensures smooth processing.
Interactive workspace environment: Improves user collaboration.
Integration with platforms: Provides connectivity benefits.
Performance optimization: Enhances overall system performance.
Support for data governance and security: Ensures data integrity and protection.

Databricks is implemented in insurance for risk analysis and claims processing; in retail for customer analytics and inventory management; in manufacturing for predictive maintenance and supply chain optimization; and in pharmaceuticals for drug discovery and patient data analysis. Users value its scalability, machine learning support, collaboration tools, and Delta Lake performance but seek improvements in visualization, pricing, and integration with BI tools.

Sample Customers

HSBC, MBNA, US Ban Corp, MasterCard Worldwide, Invesco, Citi Bank, ATB Financial, PayPal, Bajaj Finserv

Elsevier, MyFitnessPal, Sharethrough, Automatic Labs, Celtra, Radius Intelligence, Yesware