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 9.0. Databricks holds a 19.1% mindshare in Data Science Platforms, compared to MathWorks’s 0.5% mindshare. Additionally, 96% of Databricks users are willing to recommend the solution, compared to 100% of MathWorks users who would recommend it.

Databricks

Read 85 Databricks reviews

17,588 Views
11,896 Comparison Views

96% willing to recommend

MathWorks Matlab

Read 3 MathWorks Matlab reviews

622 Views
468 Comparison Views

100% willing to recommend

Databricks

MathWorks Matlab

Comparison Buyer's Guide

Download the report

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: January 2025).

Buyer's Guide

Databricks vs. MathWorks Matlab

January 2025

Download the complete report

Helped 831,265 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

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 January 2025, in the Data Science Platforms category, the mindshare of Databricks is 19.1%, up from 18.5% compared to the previous year. The mindshare of MathWorks Matlab is 0.5%, down from 0.9% compared to the previous year. It is calculated based on PeerSpot user engagement data.

Data Science Platforms

Featured Reviews

Parag Bhosale

Senior Data Engineer at a logistics company with 51-200 employees

Integrating engineering and learning, but cost challenges arise with cluster management

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. We prefer using a small to mid-sized cluster for many jobs to keep costs low, but this sometimes doesn't support our operations properly. We need to stay in sync with the DVR versions, and migrations can pose challenges. For example, issues arose when we moved a cluster from a previous version to the latest one. We could use their job clusters, however, that increases costs, which is challenging for us as a startup. Maintaining this infrastructure can be a headache.

Read full review

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.

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

"Databricks provides a consistent interface for data engineers to work with data in a consistent language on a single integrated platform for ingesting, processing, and serving data to the end user."

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

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

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

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

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

"We are completely satisfied with the ease of connecting to different sources of data or pocket files in the search"

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."

"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

"Costs can quickly add up if you don't plan for it."

"There is room for improvement in visualization."

"The product should provide more advanced features in future releases."

"Databricks could improve in some of its functionality."

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

"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."

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

"While Databricks is generally a robust solution, I have noticed a limitation with debugging in the Delta Live Table, which could be improved."

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."

"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."

Pricing and Cost Advice

"Licensing on site I would counsel against, as on-site hardware issues tend to really delay and slow down delivery."

"The pricing depends on the usage itself."

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

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

"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."

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

"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."

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."

See which vendors are best for you

Use our free recommendation engine to learn which Data Science Platforms solutions are best for your needs.

See recommendations

831,265 professionals have used our research since 2012.

Top Industries

By visitors reading reviews

Financial Services Firm

17%

Computer Software Company

11%

Manufacturing Company

Healthcare Company

Manufacturing Company

11%

University

11%

Educational Organization

10%

Computer Software 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?

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

Comparisons

Dataiku vs Databricks

Compared 11% of the time

Informatica PowerCenter vs Databricks

Compared 8% of the time

Dremio vs Databricks

Compared 8% of the time

Amazon SageMaker vs Databricks

Compared 8% of the time

Microsoft Power BI vs Databricks

Compared 7% of the time

More Databricks Competitors

Dataiku vs MathWorks Matlab

Compared 100% of the time

More MathWorks Matlab Competitors

Product Reports

Buyer's Guide

Databricks

January 2025

Download Databricks product report

Buyer's Guide

Data Science Platforms

January 2025

Download MathWorks Matlab product report

Also Known As

Databricks Unified Analytics, Databricks Unified Analytics Platform, Redash

No data available

Learn More

Databricks

MathWorks

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.

Information not available

Sample Customers

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

Information Not Available

Buyer's Guide

Databricks vs. MathWorks Matlab

January 2025

Free Report: Databricks vs. MathWorks Matlab

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

DOWNLOAD NOW

831,265 professionals have used our research since 2012.

See our Databricks vs. MathWorks Matlab report.

See our list of best Data Science Platforms vendors.

We monitor all Data Science Platforms reviews to prevent fraudulent reviews and keep review quality high. We do not post reviews by company employees or direct competitors. We validate each review for authenticity via cross-reference with LinkedIn, and personal follow-up with the reviewer when necessary.