Founded in 1889 as New Mexico’s flagship institution, the University of New Mexico now occupies nearly 800 acres along old Route 66 in the heart of Albuquerque, a metropolitan area of more than 900,000 people. From the magnificent mesas to the west, past the banks of the historic Rio Grande to the Sandia Mountains to the east, Albuquerque is a blend of culture and cuisine, styles and stories, people, pursuits and panoramas.
SaaS Adoption
SaaS Adoption indicates the level of adoption by this company of software as a service services.
Cloud Adoption
Cloud Adoption indicates the level of adoption by this company of cloud services.
IT Footprint
IT Footprint gives a relative indication of how much IT services this company consumes.
IT Spend
IT Spend shows roughly how much this client spends on IT per year in USD.
Enlyft tracks the use of over 15,000 technologies and has proprietary data on over 18 million companies worldwide.
University of New Mexico uses 5 different technologies from 147 different vendors. They have above average use of several technologies including Lawson Software, Canonical Ubuntu and Smartsheet.
University of New Mexico uses products from 134 different product categories. They are particularly heavy users of products in Computer-aided Design & Engineering, Software Frameworks, and Operating Systems.
Enlyft tracks the use of over 15,000 technologies and has proprietary data on over 18 million companies worldwide.
| Technology | Category | Vendor | Usage |
|---|---|---|---|
| SuperSaaS Appointment Scheduling | Appointment Scheduling & Management | SuperSaaS services | ![]() |
| Python | Programming Languages | Python Software Foundation | ![]() |
| Pytorch | Machine Learning | The Linux Foundation | ![]() |
| LabVIEW | Computer-aided Design & Engineering | National Instruments | ![]() |
| GitLab | Software Configuration Management | GitLab Inc | ![]() |
What other companies use SuperSaaS Appointment Scheduling?
Who are the biggest users of Programming Languages?
What countries, industries, and company sizes are most likely to use Pytorch?