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Some SaaS providers offer free services to consumers that are funded by means such as advertising, affiliate marketing, or selling consumer data. [20] One of the most popular models for Internet start-ups and mobile apps is freemium , where the company charges for continued use or a higher level of service.
"X as a service" (rendered as *aaS in acronyms) is a phrasal template for any business model in which a product use is offered as a subscription-based service rather than as an artifact owned and maintained by the customer. Originating from the software as a service concept that appeared in the 2010s with the advent of cloud computing, [1] [2] the template has expanded to numerous offerings in t
Examples of applications offered as SaaS are games and productivity software like Google Docs and Office Online. SaaS applications may be integrated with cloud storage or File hosting services , which is the case with Google Docs being integrated with Google Drive , and Office Online being integrated with OneDrive .
This is a list of computing and IT acronyms, initialisms and abbreviations. ... BASIC—Beginner's All-Purpose Symbolic ... FOLDOC—Free On-line Dictionary of ...
Hybrid SaaS refers to a deployment model where a software application is delivered as a service and combines elements of both on-premises and cloud-based infrastructure. In this model, some components or data reside on the customer's local infrastructure (on-premises) while others are hosted in the cloud.
Platform as a service (PaaS) or application platform as a service (aPaaS) or platform-based service is a cloud computing service model where users provision, instantiate, run and manage a modular bundle of a computing platform and applications, without the complexity of building and maintaining the infrastructure associated with developing and launching application(s), and to allow developers ...
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For example, oneFactor platform where other businesses (telecoms, banks, retailers, payment systems, etc.) may monetize their own data by processing and enriching it with additional information, building machine learning models and launching them in production.