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Logo of Gurobi

Gurobi

byGurobi
in Analytics and Decision Intelligence Platforms in Supply Chain (Transitioning to Analytics and Decision-Making Platforms for Supply Chain)
4.4

Overview

Product Information on Gurobi

Updated 13th October 2025

What is Gurobi?

Gurobi is mathematical optimization software designed to solve a range of optimization problems, including linear programming, mixed-integer programming, and quadratic programming. This software provides a solver engine for mathematical models, helping businesses and researchers make data-driven decisions through modeling complex systems and scenarios. Gurobi supports various programming languages and interfaces, allowing integration within custom applications or workflows. The software is used to address business challenges such as resource allocation, scheduling, logistics, and supply chain optimization by providing solutions that maximize or minimize an objective function under a set of constraints. It offers parallel computing capabilities and a library of tools for efficient model formulation and solution analysis.

Gurobi Pricing

Gurobi software uses a subscription-based pricing model, with costs determined by license type, deployment method, and usage level, including academic and commercial options. Pricing may vary for cloud and on-premises deployment, and enterprise licensing is available for larger scale usage. Trial licenses and academic licenses are typically offered with different terms and access compared to standard commercial licenses.

Overall experience with Gurobi

Software Engineer
Gov't/PS/ED 5,000 - 50,000 Employees, Education
FAVORABLE

“Powerful Analytics Platform Offers Flexibility But Presents Steep Learning Curve Early On”

4.0
May 4, 2026
This text serves as a placeholder and does not reflect the user’s review responses or opinions. This text serves as a placeholder and does not reflect the user’s review responses or opinions. This text serves as a placeholder and does not reflect the user’s review responses or opinions.
Director of IT
10B - 30B USD, Consumer Goods
CRITICAL

“Solid Product & Great Performance”

3.0
Jun 15, 2026
This text serves as a placeholder and does not reflect the user’s review responses or opinions. This text serves as a placeholder and does not reflect the user’s review responses or opinions. This text serves as a placeholder and does not reflect the user’s review responses or opinions.

About Company

Company Description

Updated 5th November 2024

Gurobi Optimization develops mathematical optimization software that helps businesses solve complex problems and make data-driven decisions. Founded in 2008, Gurobi is known for its solver, which is used across various industries, including finance, energy, supply chain, and logistics, to optimize performance and efficiency. The company's software supports a wide range of programming languages and modeling environments, offering flexibility to users. Gurobi also provides training, consulting, and support services to help organizations integrate optimization into their operations and leverage advanced algorithms to achieve strategic objectives.

Company Details

Updated 26th February 2025
Company type
Private
Year Founded
2008
Head office location
Beaverton, United States
Number of employees
51 - 200
Website
http://www.gurobi.com

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Key Insights

A Snapshot of What Matters - Based on Validated User Reviews

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Peer Discussions

Gurobi Reviews and Ratings

4.4

(34 Ratings)

Rating Distribution

5 Star
56%
4 Star
41%
3 Star
3%
2 Star
0%
1 Star
0%
Why ratings and reviews count differ?
  • Software Engineer
    Gov't/PS/Ed
    Education
    Review Source

    Powerful Analytics Platform Offers Flexibility But Presents Steep Learning Curve Early On

    4.0
    May 4, 2026
    Overall, my experience with the vendor has been solid, with a few bumps along the way. What stood out most is how powerful the platform is once you get past the initial learning curve. It really enables smarter, data-driven decisions and brings together analytics, rules and automation in a meaningful way. That said, the early stages weren't as smooth as expected. There was some friction during onboarding, especially when trying to align internal teams with the platform's capabilities. Over time, though, things improved significantly as we became more familiar with the system.
  • Software Engineer
    Gov't/PS/Ed
    Education
    Review Source

    Powerful Analytics Platform Offers Flexibility But Presents Steep Learning Curve Early On

    4.0
    May 4, 2026
    Overall, my experience with the vendor has been solid, with a few bumps along the way. What stood out most is how powerful the platform is once you get past the initial learning curve. It really enables smarter, data-driven decisions and brings together analytics, rules and automation in a meaningful way. That said, the early stages weren't as smooth as expected. There was some friction during onboarding, especially when trying to align internal teams with the platform's capabilities. Over time, though, things improved significantly as we became more familiar with the system.
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  • Market Guide for Analytics and Decision Intelligence Platforms in Supply Chain (Transitioning to Analytics and Decision-Making Platforms for Supply Chain)
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Deciding Factors: Gurobi Vs. Market Average
Performance of Gurobi Across Market Features

Gurobi Likes & Dislikes

Like

1. The ability to combine machine learning with rule-based logic in one place this really helps in building practical, real-world decision systems. 2. Scalability - We've been able to handle large datasets and real-time use cases without major performance issues. 3. Flexibility - It's not rigid; you can tailor decision flows and models based on business needs. 4. Strong integration capabilities with modern data stacks (cloud, APIs, data warehouses).

Like

1. The ability to combine machine learning with rule-based logic in one place this really helps in building practical, real-world decision systems. 2. Scalability - We've been able to handle large datasets and real-time use cases without major performance issues. 3. Flexibility - It's not rigid; you can tailor decision flows and models based on business needs. 4. Strong integration capabilities with modern data stacks (cloud, APIs, data warehouses).

Like

1. The ability to combine machine learning with rule-based logic in one place this really helps in building practical, real-world decision systems. 2. Scalability - We've been able to handle large datasets and real-time use cases without major performance issues. 3. Flexibility - It's not rigid; you can tailor decision flows and models based on business needs. 4. Strong integration capabilities with modern data stacks (cloud, APIs, data warehouses).

Dislike

Cost was a major factor when it switched from capital to expense. The sales team seems to have a hard time working with resellers.

Dislike

Cost was a major factor when it switched from capital to expense. The sales team seems to have a hard time working with resellers.

Dislike

Cost was a major factor when it switched from capital to expense. The sales team seems to have a hard time working with resellers.

Reviewer Insights for: Gurobi