Databricks vs MathWorks Matlab comparison

Databricks and MathWorks are both solutions in the Data Science Platforms category. Databricks is ranked #1 with an average rating of 8.4, while MathWorks is ranked #17 with an average rating of 9.0. Databricks holds a 17.2% mindshare in Data Science Platforms, compared to MathWorks’s 0.8% mindshare. Additionally, 96% of Databricks users are willing to recommend the solution, compared to 100% of MathWorks users who would recommend it.

Databricks

Read 90 Databricks reviews

13,763 Views
10,002 Comparison Views

96% willing to recommend

MathWorks Matlab

Read 3 MathWorks Matlab reviews

530 Views
369 Comparison Views

100% willing to recommend

Databricks

MathWorks Matlab

Comparison Buyer's Guide

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Executive SummaryUpdated on Dec 5, 2024

Databricks and MathWorks Matlab are in the data analysis and engineering category. Databricks has the upper hand in scalability and collaboration, whereas MathWorks Matlab is superior in computational capabilities and algorithm support.

Features: Databricks offers scalability and real-time collaboration, integrating seamlessly with various data sources for large-scale data processing. MathWorks Matlab provides precise computational abilities, diverse algorithm libraries, and effective modeling capabilities, ideal for intricate mathematical operations.

Ease of Deployment and Customer Service: Databricks leverages cloud-native architecture for quick deployment, offering responsive cloud support. MathWorks Matlab involves a more detailed deployment process, particularly on local servers, but is backed by extensive documentation and technical support.

Pricing and ROI: Databricks presents flexible pricing models that adapt to different workloads, supporting a favorable ROI due to its scalability. MathWorks Matlab demands a higher initial expense, justified by its specialized computing features, appealing to users needing advanced mathematical analysis.

To learn more, read our detailed Databricks vs. MathWorks Matlab Report (Updated: April 2025).

Buyer's Guide

Databricks vs. MathWorks Matlab

April 2025

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Helped 851,371 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

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 (7th), Streaming Analytics (1st)

MathWorks Matlab

Ranking in Data Science Platforms

17th

Average Rating

8.6

Reviews Sentiment

6.5

Number of Reviews

Ranking in other categories

No ranking in other categories

Mindshare comparison

As of May 2025, in the Data Science Platforms category, the mindshare of Databricks is 17.2%, down from 19.5% compared to the previous year. The mindshare of MathWorks Matlab is 0.8%, up from 0.7% compared to the previous year. It is calculated based on PeerSpot user engagement data.

Data Science Platforms

Featured Reviews

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.

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Neha Wanjari

Technical Lead at KPIT Technologies

Has Simulink feature which helps with visual representations

The tool's most valuable feature is the Simulink environment. This feature provides an incredible capability to visually represent the system behavior before creating the code. It allows you to see the flow and interactions of the system, which is extremely beneficial for software development. With this visual representation, you can better understand the system's behavior, make necessary adjustments, and ensure maintenance and updates. This capability is why I love working with the product. The solution's UI has greatly supported my development process. I would rate it an eight point five out of ten for its user interface. It's easy to explain how a system works, especially if I've created a model in the Simulink environment. Integrating it with other languages or tools has always benefited my projects. Even though I've only used two languages, it has been advantageous overall.

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Quotes from Members

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

Pros

"Databricks serves as a single platform for conducting the entire end-to-end lifecycle of machine learning models or AI ops."

"The most valuable feature is the ability to use SQL directly with Databricks."

"We have the ability to scale, collaborate and do machine learning."

"The integration with Python and the notebooks really helps."

"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."

"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."

"I like cloud scalability and data access for any type of user."

"The most valuable feature is the Spark cluster which is very fast for heavy loads, big data processing and Pi Spark."

More Databricks pros

"The tool's most valuable feature is the Simulink environment. This feature provides an incredible capability to visually represent the system behavior before creating the code. It allows you to see the flow and interactions of the system, which is extremely beneficial for software development. With this visual representation, you can better understand the system's behavior, make necessary adjustments, and ensure maintenance and updates. This capability is why I love working with the product."

"Personally for me, because I do a lot of development, I like that it is easy to test mathematical algorithms with several matrix calculations. It's perfect for that."

"The platform's most valuable feature is its field-specific packages, which make it very easy to use."

Cons

"It should have more compatible and more advanced visualization and machine learning libraries."

"When I used the support, I had communication problems because of the language barrier with the agent. The accent was difficult to understand."

"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' technical support takes a while to respond and could be improved."

"Databricks has added some alerts and query functionality into their SQL persona, but the whole SQL persona, which is like a role, needs a lot of development. The alerts are not very flexible, and the query interface itself is not as polished as the notebook interface that is used through the data science and machine learning persona. It is clunky at present."

"It would be great if Databricks could integrate all the cloud platforms."

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

"There should be better integration with other platforms."

More Databricks cons

"To make use of the GPU, you have to have an Nvidia card. What I would want it to do is to run in Next Generation with Intel or AMD, and not just with Nvidia."

"In the area of improvement, sometimes there are issues with the speed of MathWorks Matlab, particularly in the Simulink environment. The tool's latest versions can be slow to open, taking significant time to load. Additionally, saving data and integrating models can also be time-consuming processes."

"One area where the product could improve is in the ease of learning."

Pricing and Cost Advice

"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 licensing costs of Databricks depend on how many licenses we need, depending on which Databricks provides a lot of discounts."

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

"The price of Databricks is reasonable compared to other solutions."

"The solution is affordable."

"The solution uses a pay-per-use model with an annual subscription fee or package. Typically this solution is used on a cloud platform, such as Azure or AWS, but more people are choosing Azure because the price is more reasonable."

"There are different versions."

"The solution requires a subscription."

More Databricks pricing and cost advice

"We have a single user license. Support and add-ons are an extra fee."

"The pricing for the software itself is reasonable, and I didn't encounter any additional costs beyond the initial purchase or license."

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Top Industries

By visitors reading reviews

Financial Services Firm

17%

Computer Software Company

10%

Manufacturing Company

Healthcare Company

Computer Software Company

11%

University

10%

Energy/Utilities Company

Comms Service Provider

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

No data available

Questions from the Community

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 ...

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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...

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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...

See all answers

What do you like most about MathWorks Matlab?

See all answers

What is your experience regarding pricing and costs for MathWorks Matlab?

The pricing for the software itself is reasonable, and I didn't encounter any additional costs beyond the initial purchase or license.

See all answers

What needs improvement with MathWorks Matlab?

One area where the product could improve is in the ease of learning. The syntax can be challenging for first-time programmers or those unfamiliar with specialized languages. Also, while the communi...

See all answers

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Product Reports

Buyer's Guide

Databricks

May 2025

Download Databricks product report

Buyer's Guide

Data Science Platforms

May 2025

Download MathWorks Matlab product report

Also Known As

Databricks Unified Analytics, Databricks Unified Analytics Platform, Redash

No data available

Overview

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.

Databricks

Information not available

MathWorks

Sample Customers

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

Information Not Available

Buyer's Guide

Databricks vs. MathWorks Matlab

April 2025

Free Report: Databricks vs. MathWorks Matlab

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