Founded in 1951 by firefighters for firefighters, we are a credit union dedicated to building financial success in our community. Today, we continue to serve firefighters while also extending membership to those who live, work, or attend school in San Francisco, San Mateo, or Marin counties. Just as firefighters protect the physical security of the community, our institution protects its financial security. Unlike banks, we are a not-for-profit cooperative owned and operated by members like you. We are defined by our commitment to member-first service, community engagement, and innovation.
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.
SF Fire Credit Union uses 5 different technologies from 52 different vendors. They have above average use of several technologies including Legal-X, Perl and Python.
SF Fire Credit Union uses products from 42 different product categories. They are particularly heavy users of products in Software Frameworks, Email Communications Technologies, and Business Intelligence.
Enlyft tracks the use of over 15,000 technologies and has proprietary data on over 18 million companies worldwide.
Technology | Category | Vendor | Usage |
---|---|---|---|
Legal-X | Law Practice Management | Bottomline Technologies (de), Inc. | |
Perl | Programming Languages | Perl | |
Python | Programming Languages | Python Software Foundation | |
Microsoft Teams | Collaborative Software | Microsoft Corporation | |
Ziften | Endpoint Security | Ziften Technologies, Inc |
What other companies use Legal-X?
Who are the biggest users of Programming Languages?
What countries, industries, and company sizes are most likely to use Python?