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 8.3, while MathWorks is ranked #14 with an average rating of 9.0. Databricks holds a 9.3% mindshare in Data Science Platforms, compared to MathWorks’s 1.8% mindshare. Additionally, 96% of Databricks users are willing to recommend the solution, compared to 100% of MathWorks users who would recommend it.

Databricks

Read 93 Databricks reviews

18,865 Views
8,112 Comparison Views

96% willing to recommend

MathWorks Matlab

Read 5 MathWorks Matlab reviews

926 Views
898 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: December 2025).

Buyer's Guide

Databricks vs. MathWorks Matlab

December 2025

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Helped 881,707 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 (9th), Data Management Platforms (DMP) (5th), Streaming Analytics (1st)

MathWorks Matlab

Ranking in Data Science Platforms

14th

Average Rating

8.8

Reviews Sentiment

5.5

Number of Reviews

Ranking in other categories

No ranking in other categories

Mindshare comparison

As of February 2026, in the Data Science Platforms category, the mindshare of Databricks is 9.3%, down from 18.8% compared to the previous year. The mindshare of MathWorks Matlab is 1.8%, up from 0.6% compared to the previous year. It is calculated based on PeerSpot user engagement data.

Data Science Platforms Market Share Distribution
Product	Market Share (%)
Databricks	9.3%
MathWorks Matlab	1.8%
Other	88.9%

Data Science Platforms

Featured Reviews

Satyam Wagh

Consultant at Nice Software Solutions

Unified data workflows have cut ticket processing times and are driving faster business insights

Databricks already provides monthly updates and continuously works on delivering new features while enhancing existing ones. However, the platform could become easier to use. While instruction-led workshops are available, offering more free instructional workshops would allow a wider audience to access and learn about Databricks. Additionally, providing use cases would help beginners gain more knowledge and hands-on experience. Regarding my experience, I was initially unfamiliar with the platform and had to conduct research and learn through various videos. I did find some instruction-led classes, but several of those required payment. The platform should provide more free resources to enable a broader audience to access and learn about Databricks. The platform itself is user-friendly and easy to use without complex issues, so I believe it does not need improvement in its core functionality. Rather, supporting aspects can be enhanced.

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Prof. Dr. Rudolf Bisping

Business Owner at SASS GmbH

Versatile system empowers users with advanced algorithm development and seamless integration capabilities

The application is pretty good, and I don't really complain. For my purposes, MathWorks Matlab is perfect because it's very versatile; it is not out-of-the-box of course, and you have to program everything yourself. If you are experienced enough, you can do many things which other programs, for instance, SPSS, cannot do, as you need to program it—it's a fourth-generation programming language. In the future of MathWorks Matlab, I would appreciate the addition of many AI features, as there are a lot of machine learning capabilities and many AI features in the visual scene, although I don't need those because I use this feature data and don't work on pictures or images. However, you can work on images and can then do deep learning and that stuff, which is one of the real strengths of MathWorks Matlab.

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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' Lakehouse architecture has been most useful for us. The data governance has been absolutely efficient in between other kinds of solutions."

"Databricks gives us the ability to build a lakehouse framework and do everything implicit to this type of database structure. We also like the ability to stream events. Databricks covers a broad spectrum, from reporting and machine learning to streaming events. It's important for us to have all these features in one platform."

"Imageflow is a visual tool that helps make it easier for business people to understand complex workflows."

"The setup was straightforward."

"The solution is built from Spark and has integration with MLflow, which is important for our use case."

"Databricks is a unified solution that we can use for streaming. It is supporting open source languages, which are cloud-agnostic. When I do database coding if any other tool has a similar language pack to Excel or SQL, I can use the same knowledge, limiting the need to learn new things. It supports a lot of Python libraries where I can use some very easily."

"This solution offers a lake house data concept that we have found exciting. We are able to have a large amount of data in a data lake and can manage all relational activities."

"The technical support is good."

More Databricks pros

"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."

"Making digital twins saves significant time; checking something in simulation is more cost-effective—for instance, with marine engines, we typically need about 10 years of checking to find misfires, but with MathWorks Matlab, we can complete it in one month."

"What I appreciate about MathWorks Matlab is that it is the most versatile program system I know; there are so many toolboxes which I don't need, as I mostly work with statistics, but it's amazing how many functions there are."

"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."

Cons

"The initial setup of Databricks could be complex."

"I have had some issues with some of the Spark clusters running on Databricks, where the Spark runtime and clusters go up and down, which is an area for improvement."

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

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

"Instead of relying on a massive instance, the solution should offer micro partition levels. They're working on it, however, they need to implement it to help the solution run more effectively."

"There are no direct connectors — they are very limited."

"The pricing of Databricks could be cheaper."

"The product needs samples and templates to help invite users to see results and understand what the product can do."

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."

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

"It is not out-of-the-box of course, and you have to program everything yourself."

"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."

Pricing and Cost Advice

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

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

"We pay as we go, so there isn't a fixed price. It's charged by the unit. I don't have any details detail about how they measure this, but it should be a mix between processing and quantity of data handled. We run a simulation based on our use cases, which gives us an estimate. We've been monitoring this, and the costs have met our expectations."

"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."

"I rate the price of Databricks as eight out of ten."

"The pricing depends on the usage itself."

"The solution is based on a licensing model."

"We have only incurred the cost of our AWS cloud services. This is because during this period, Databricks provided us with an extended evaluation period, and we have not spent much money yet. We are just starting to incur costs this month, I will know more later on the full cost perspective."

More Databricks pricing and cost advice

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

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

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Top Industries

By visitors reading reviews

Financial Services Firm

18%

Manufacturing Company

Computer Software Company

Healthcare Company

Computer Software Company

14%

Comms Service Provider

Government

Educational Organization

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

By reviewers
Company Size	Count
Small Business	26
Midsize Enterprise	12
Large Enterprise	56

By reviewers
Company Size	Count
Small Business	2
Midsize Enterprise	1
Large Enterprise	4

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 ...

See all answers

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...

See all answers

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?

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...

See all answers

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

Regarding the pricing part and licensing cost for MathWorks Matlab, it is not cheap, but it depends on the functions you need. You don't need all of them; you may just require a few and then it's r...

See all answers

What needs improvement with MathWorks Matlab?

See all answers

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Product Reports

Buyer's Guide

Databricks

February 2026

Download Databricks product report

Buyer's Guide

MathWorks Matlab

January 2026

Download MathWorks Matlab product report

Also Known As

Databricks Unified Analytics, Databricks Unified Analytics Platform, Redash

No data available

Overview

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.

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

December 2025

Free Report: Databricks vs. MathWorks Matlab

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