Ingalls & Snyder is a NYC-based Investment Advisory firm, with approximately $4 billion in client assets under management or advisory. The majority of client assets are managed under fee-based arrangements. Ingalls & Snyder is a dually-registered Registered Investment Advisor and Broker-Dealer, and is a well-capitalized, privately-owned LLC. Since its inception in 1924, Ingalls has promoted a culture of quality, integrity and service to clients. Ingalls’ clients are primarily high net worth individuals, families, trusts and related entities.
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.
Ingalls & Snyder uses 5 different technologies from 26 different vendors. They have above average use of several technologies including StratiFi, VMware vSphere and Python.
Ingalls & Snyder uses products from 23 different product categories. They are particularly heavy users of products in Email Communications Technologies, Cloud Platforms & Services, 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 |
---|---|---|---|
StratiFi | Financial Management | StratiFi Technologies Inc | ![]() |
VMware vSphere | Virtualization Platforms | VMware, Inc | ![]() |
Python | Programming Languages | Python Software Foundation | ![]() |
Varnish Software | Proxy Servers | Varnish Software | ![]() |
Vision Solutions Double-Take | Backup Software | Vision Solutions | ![]() |
What other companies use StratiFi?
Who are the biggest users of Virtualization Platforms?
What countries, industries, and company sizes are most likely to use Python?