Altair Knowledge Studio vs Databricks comparison

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Altair Knowledge Studio

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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: October 2025).

Data Science Platforms

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Helped 872,706 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

21st

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 October 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 13.9%, down from 19.2% compared to the previous year. It is calculated based on PeerSpot user engagement data.

Data Science Platforms Market Share Distribution
Product	Market Share (%)
Databricks	13.9%
Altair Knowledge Studio	0.5%
Other	85.6%

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."

"Having one solution for everything, from data engineering to machine learning, is beneficial since everything comes under one hood."

"The setup is quite easy."

"It is fast, it's scalable, and it does the job it needs to do."

"Databricks allows me to automate the creation of a cluster, optimized for machine learning and construct AI machine learning models for the client."

"I think Databricks is very good at facilitating AI and machine learning projects; they implement AI and machine learning models very well, and clients can run their models on Databricks."

"Automation with Databricks is very easy when using the API."

"The most valuable features of the solution are the hardware and the resources it quickly provides without much hassle."

"Databricks is based on a Spark cluster and it is fast. Performance-wise, it is great."

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."

"A lot of people are required to manage this solution."

"The integration of data could be a bit better."

"The biggest problem associated with the product is that it is quite pricey."

"The connectivity with various BI tools could be improved, specifically the performance and real time integration."

"Databricks could improve in some of its functionality."

"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."

"The solution could be improved by integrating it with data packets. Right now, the load tables provide a function, like team collaboration. Still, it's unclear as to if there's a function to create different branches and/or more branches. Our team had used data packets before, however, I feel it's difficult to integrate the current with the previous data packets."

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

More Databricks cons

Pricing and Cost Advice

Information not available

"The solution is a good value for batch processing and huge workloads."

"The billing of Databricks can be difficult and should improve."

"The product pricing is moderate."

"We find Databricks to be very expensive, although this improved when we found out how to shut it down at night."

"The pricing depends on the usage itself."

"We're charged on what the data throughput is and also what the compute time is."

"I'm not involved in the financing, but I can say that the solution seemed reasonably priced compared to the competitors. Similar products are usually in the same price range. With five being affordable and one being expensive, I would rate Databricks a four out of five."

"The solution is based on a licensing model."

More Databricks pricing and cost advice

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Top Industries

By visitors reading reviews

No data available

Financial Services Firm

18%

Computer Software Company

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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Compared 9% of the time

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Compared 7% of the time

Dremio vs Databricks

Compared 5% of the time

Tableau Enterprise vs Databricks

Compared 4% of the time

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Product Reports

Data Science Platforms

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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 offers a scalable, versatile platform that integrates seamlessly with Spark and multiple languages, supporting data engineering, machine learning, and analytics in a unified environment.

Databricks stands out for its scalability, ease of use, and powerful integration with Spark, multiple languages, and leading cloud services like Azure and AWS. It provides tools such as the Notebook for collaboration, Delta Lake for efficient data management, and Unity Catalog for data governance. While enhancing data engineering and machine learning workflows, it faces challenges in visualization and third-party integration, with pricing and user interface navigation being common concerns. Despite needing improvements in connectivity and documentation, it remains popular for tasks like real-time processing and data pipeline management.

What features make Databricks unique?

Notebook: Enables collaborative work among team members.
Delta Lake: Optimizes data management operations.
Unity Catalog: Provides governance over data assets.
Cloud Integration: Seamlessly connects with major cloud platforms.

What benefits can users expect from Databricks?

Versatility: Supports diverse applications in data science and engineering.
Performance: Delivers efficient handling of large-scale analytics tasks.
Collaboration: Enhances teamwork in data projects.
Unified Environment: Centralizes machine learning and analytics activities.

In the tech industry, Databricks empowers teams to perform comprehensive data analytics, enabling them to conduct extensive ETL operations, run predictive modeling, and prepare data for SparkML. In retail, it supports real-time data processing and batch streaming, aiding in better decision-making. Enterprises across sectors leverage its capabilities for creating secure APIs and managing data lakes effectively.

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

Data Science Platforms