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 #17 with an average rating of 8.7. Databricks holds a 15.3% mindshare in Data Science Platforms, compared to MathWorks’s 1.0% 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

23,965 Views
10,784 Comparison Views

96% willing to recommend

MathWorks Matlab

Read 4 MathWorks Matlab reviews

543 Views
516 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 865,295 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 (8th), Streaming Analytics (1st)

MathWorks Matlab

Ranking in Data Science Platforms

17th

Average Rating

8.6

Reviews Sentiment

5.2

Number of Reviews

Ranking in other categories

No ranking in other categories

Mindshare comparison

As of August 2025, in the Data Science Platforms category, the mindshare of Databricks is 15.3%, down from 19.8% compared to the previous year. The mindshare of MathWorks Matlab is 1.0%, up from 0.6% 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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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

"The solution is easy to use and has a quick start-up time due to being on the cloud."

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

"Easy to use and requires minimal coding and customizations."

"Databricks is hosted on the cloud. It is very easy to collaborate with other team members who are working on it. It is production-ready code, and scheduling the jobs is easy."

"It's very simple to use Databricks Apache Spark."

"It's easy to increase performance as required."

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

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

More Databricks pros

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

"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 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

"I would like more integration with SQL for using data in different workspaces."

"In the next release, I would like to see more optimization features."

"I would like to see the integration between Databricks and MLflow improved. It is quite hard to train multiple models in parallel in the distributed fashions. You hit rate limits on the clients very fast."

"They release patches that sometimes break our code. These patches are supposed to fix issues, but sometimes they cause disruptions."

"My experience with the pricing and licensing model is that it remains relatively expensive. Though it's less expensive than AWS, we still need a more cost-effective solution."

"There could be more support for automated machine learning in the database. I would like to see more ways to do analysis so that the reporting is more understandable."

"The data visualization for this solution could be improved. They have started to roll out a data visualization tool inside Databricks but it is in the early stages. It's not comparable to a solution like Power BI, Luca, or Tableau."

"The solution could improve by providing better automation capabilities. For example, working together with more of a DevOps approach, such as continuous integration."

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."

"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 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."

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

"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."

"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."

"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."

"Databricks' cost could be improved."

"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."

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

Educational Organization

10%

Comms Service Provider

Manufacturing Company

Hospitality Company

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 ...

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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Informatica PowerCenter vs Databricks

Compared 7% of the time

Dremio vs Databricks

Compared 6% of the time

Tableau Enterprise vs Databricks

Compared 5% of the time

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Anaconda Business vs MathWorks Matlab

Compared 18% of the time

IBM SPSS Statistics vs MathWorks Matlab

Compared 16% of the time

KNIME Business Hub vs MathWorks Matlab

Compared 15% of the time

Amazon SageMaker vs MathWorks Matlab

Compared 15% of the time

SAS Visual Analytics vs MathWorks Matlab

Compared 9% of the time

More MathWorks Matlab Competitors

Product Reports

Buyer's Guide

Databricks

August 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

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