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 #18 with an average rating of 8.7. Databricks holds a 14.5% mindshare in Data Science Platforms, compared to MathWorks’s 1.1% mindshare. Additionally, 96% of Databricks users are willing to recommend the solution, compared to 100% of MathWorks users who would recommend it.

Databricks

Read 91 Databricks reviews

22,527 Views
9,912 Comparison Views

96% willing to recommend

MathWorks Matlab

Read 5 MathWorks Matlab reviews

576 Views
547 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: July 2025).

Buyer's Guide

Databricks vs. MathWorks Matlab

July 2025

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Helped 867,497 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), Streaming Analytics (1st)

MathWorks Matlab

Ranking in Data Science Platforms

18th

Average Rating

8.8

Reviews Sentiment

5.5

Number of Reviews

Ranking in other categories

No ranking in other categories

Mindshare comparison

As of September 2025, in the Data Science Platforms category, the mindshare of Databricks is 14.5%, down from 19.8% compared to the previous year. The mindshare of MathWorks Matlab is 1.1%, up from 0.5% 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%
MathWorks Matlab	1.1%
Other	84.4%

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.

Read full review

Ioannis Kalathas

It Consultant/Administrator at International Hellenic University

Creating digital twins significantly reduces time for marine engine diagnostics

MathWorks Matlab has numerous libraries, making it challenging to have a holistic understanding of all of them. I can only speak about the libraries I have used. Additional GUIs and add-ons for MathWorks Matlab would help, especially for users who are not familiar with the software. The cost is a significant concern. While university pricing is reasonable, a cheaper version with fewer libraries would be beneficial. In Greece, we struggle to purchase licenses, and we also use Ansys. There are technical differences in simulation, but the price of MathWorks Matlab is too high for a Greek mechanic to use it. A license with fewer features would be more appropriate.

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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' most valuable feature is the data transformation through PySpark."

"The most valuable aspect of the solution is its notebook. It's quite convenient to use, both terms of the research and the development and also the final deployment, I can just declare the spark jobs by the load tables. It's quite convenient."

"Ability to work collaboratively without having to worry about the infrastructure."

"Databricks is a scalable solution. It is the largest advantage of the solution."

"Databricks has helped us have a good presence in data."

"The initial setup phase of Databricks was good."

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

"The solution's features are fantastic and include interactive clusters that perform at top speed when compared to other solutions."

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."

"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."

Cons

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

"Databricks' performance when serving the data to an analytics tool isn't as good as Snowflake's."

"In my opinion, areas of Databricks that have room for improvement involve the dashboards. Until recently, everyone used third-party systems such as Power BI to connect to Databricks for dashboards and reports, but they're now coming up with their IBI dashboard, and I think they're on the right track to improve that even further."

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

"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 would like it if Databricks adopted an interface more like R Studio. When I create a data frame or a table, R Studio provides a preview of the data. In R Studio, I can see that it created a table with so many columns or rows. Then I can click on it and open a preview of that data."

"There should be better integration with other platforms."

"We often use a single cluster to ingest Databricks, which Databricks doesn't recommend. They suggest using a no-cluster solution like job clusters. This can be overwhelming for us because we started smaller."

More Databricks cons

"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."

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

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

"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."

Pricing and Cost Advice

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

"It is an expensive tool. The licensing model is a pay-as-you-go one."

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

"The licensing costs of Databricks is a tiered licensing regime, so it is flexible."

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

"The basic version of this solution is now open-source, so there are no license costs involved. However, there is a charge for any advanced functionality and this can be quite expensive."

"The solution is affordable."

"Databricks are not costly when compared with other solutions' prices."

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

10%

Comms Service Provider

Educational Organization

Manufacturing Company

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

By reviewers
Company Size	Count
Small Business	25
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?

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?

See all answers

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Compared 17% of the time

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Compared 16% of the time

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Compared 13% of the time

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Product Reports

Buyer's Guide

Databricks

September 2025

Download Databricks product report

Buyer's Guide

MathWorks Matlab

August 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

July 2025

Free Report: Databricks vs. MathWorks Matlab

Find out what your peers are saying about Databricks vs. MathWorks Matlab and other solutions. Updated: July 2025.

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