Software as a service
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Software as a service (SaaS; pronounced //) is a software licensing and delivery model in which software is licensed on a subscription basis and is centrally hosted. It is sometimes referred to as "on-demand software", and was formerly referred to as "software plus services" by Microsoft. SaaS is typically accessed by users using a thin client via a web browser. SaaS has become a common delivery model for many business applications, including office software, messaging software, payroll processing software, DBMS software, management software, CAD software, development software, gamification, virtualization, accounting, collaboration, customer relationship management (CRM), Management Information Systems (MIS), enterprise resource planning (ERP), invoicing, human resource management (HRM), talent acquisition, learning management systems, content management (CM), and service desk management. SaaS has been incorporated into the strategy of nearly all leading enterprise software companies.
The term "Software as a Service" (SaaS) is considered to be part of the nomenclature of cloud computing, along with Infrastructure as a Service (IaaS), Platform as a Service (PaaS), Desktop as a Service (DaaS), managed software as a service (MSaaS), mobile backend as a service (MBaaS), and information technology management as a service (ITMaaS).
- 1 History
- 2 Distribution
- 3 Pricing
- 4 Architecture
- 5 Characteristics
- 6 Adoption drivers
- 7 Adoption challenges
- 8 Data escrow
- 9 Criticism
- 10 See also
- 11 References
Centralized hosting of business applications dates back to the 1960s. Starting in that decade, IBM and other mainframe providers conducted a service bureau business, often referred to as time-sharing or utility computing. Such services included offering computing power and database storage to banks and other large organizations from their worldwide data centers.
The expansion of the Internet during the 1990s brought about a new class of centralized computing, called Application Service Providers (ASP). ASPs provided businesses with the service of hosting and managing specialized business applications, with the goal of reducing costs through central administration and through the solution provider's specialization in a particular business application. Two of the world's pioneers and largest ASPs were USI, which was headquartered in the Washington, DC area, and Futurelink Corporation, headquartered in Irvine, California.
Software as a Service essentially extends the idea of the ASP model. The term Software as a Service (SaaS), however, is commonly used in more specific settings:
- While most initial ASP's focused on managing and hosting third-party independent software vendors' software, as of 2012[update] SaaS vendors typically develop and manage their own software.
- Whereas many initial ASPs offered more traditional client-server applications, which require installation of software on users' personal computers, SaaS solutions of today rely predominantly on the Web and only require a web browser to use.
- Whereas the software architecture used by most initial ASPs mandated maintaining a separate instance of the application for each business, as of 2012[update] SaaS solutions normally utilize a multitenant architecture, in which the application serves multiple businesses and users, and partitions its data accordingly.
The acronym allegedly first appeared in an article called "Strategic Backgrounder: Software As A Service," internally published in February 2001 by the Software & Information Industry Association's (SIIA) eBusiness Division.
DbaaS (Database as a Service) has emerged as a sub-variety of SaaS.
The cloud (or SaaS) model has no physical need for indirect distribution because it is not distributed physically and is deployed almost instantaneously, thereby negating the need for traditional partners and middlemen. However, as the market has grown, SaaS and managed service players have been forced to try to redefine their role.
Unlike traditional software, which is conventionally sold as a perpetual license with an up-front cost (and an optional ongoing support fee), SaaS providers generally price applications using a subscription fee, most commonly a monthly fee or an annual fee. Consequently, the initial setup cost for SaaS is typically lower than the equivalent enterprise software. SaaS vendors typically price their applications based on some usage parameters, such as the number of users using the application. However, because in a SaaS environment customers' data reside with the SaaS vendor, opportunities also exist to charge per transaction, event, or other unit of value, such as the number of processors required.
The relatively low cost for user provisioning (i.e., setting up a new customer) in a multitenant environment enables some SaaS vendors to offer applications using the freemium model. In this model, a free service is made available with limited functionality or scope, and fees are charged for enhanced functionality or larger scope. Some other SaaS applications are completely free to users, with revenue being derived from alternative sources such as advertising.
A key driver of SaaS growth is SaaS vendors' ability to provide a price that is competitive with on-premises software. This is consistent with the traditional rationale for outsourcing IT systems, which involves applying economies of scale to application operation, i.e., an outside service provider may be able to offer better, cheaper, more reliable applications.
The vast majority of SaaS solutions are based on a multitenant architecture. With this model, a single version of the application, with a single configuration (hardware, network, operating system), is used for all customers ("tenants"). To support scalability, the application is installed on multiple machines (called horizontal scaling). In some cases, a second version of the application is set up to offer a select group of customers access to pre-release versions of the applications (e.g., a beta version) for testing purposes. This is contrasted with traditional software, where multiple physical copies of the software — each potentially of a different version, with a potentially different configuration, and often customized — are installed across various customer sites. In this traditional model, each version of the application is based on a unique code.
Although an exception rather than the norm, some SaaS solutions do not use multitenancy, or use other mechanisms—such as virtualization—to cost-effectively manage a large number of customers in place of multitenancy. Whether multitenancy is a necessary component for software as a service is a topic of controversy.
There are two main varieties of SaaS:
- Vertical SaaS
- A Software which answers the needs of a specific industry (e.g., software for the healthcare, agriculture, real estate, finance industries)
- Horizontal SaaS
- The products which focus on a software category (marketing, sales, developer tools, HR) but are industry agnostic.
Although not all software-as-a-service applications share all traits, the characteristics below are common among many SaaS applications:
Configuration and customization
SaaS applications similarly support what is traditionally known as application configuration. In other words, like traditional enterprise software, a single customer can alter the set of configuration options (a.k.a. parameters) that affect its functionality and look-and-feel. Each customer may have its own settings (or: parameter values) for the configuration options. The application can be customized to the degree it was designed for based on a set of predefined configuration options.
For example: to support customers' common need to change an application's look-and-feel so that the application appears to be having the customer's brand (or—if so desired—co-branded), many SaaS applications let customers provide (through a self service interface or by working with application provider staff) a custom logo and sometimes a set of custom colors. The customer cannot, however, change the page layout unless such an option was designed for.
Accelerated feature delivery
SaaS applications are often updated more frequently than traditional software, in many cases on a weekly or monthly basis. This is enabled by several factors:
- The application is hosted centrally, so an update is decided and executed by the provider, not by customers.
- The application only has a single configuration, making development testing faster.
- The application vendor does not have to expend resources updating and maintaining backdated versions of the software, because there is only a single version.
- The application vendor has access to all customer data, expediting design and regression testing.
- The solution provider has access to user behavior within the application (usually via web analytics), making it easier to identify areas worthy of improvement.
Accelerated feature delivery is further enabled by agile software development methodologies. Such methodologies, which have evolved in the mid-1990s, provide a set of software development tools and practices to support frequent software releases.
Open integration protocols
Because SaaS applications cannot access a company's internal systems (databases or internal services), they predominantly offer integration protocols and application programming interfaces (APIs) that operate over a wide area network. Typically, these are protocols based on HTTP, REST and SOAP.
The ubiquity of SaaS applications and other Internet services and the standardization of their API technology has spawned development of mashups, which are lightweight applications that combine data, presentation and functionality from multiple services, creating a compound service. Mashups further differentiate SaaS applications from on-premises software as the latter cannot be easily integrated outside a company's firewall.
For example, many project management applications delivered in the SaaS model offer—in addition to traditional project planning functionality—collaboration features letting users comment on tasks and plans and share documents within and outside an organization. Several other SaaS applications let users vote on and offer new feature ideas.
Although some collaboration-related functionality is also integrated into on-premises software, (implicit or explicit) collaboration between users or different customers is only possible with centrally hosted software.
Adaptive Protocol Sequencing
SaaS models relying on variable interface input analytics are defined by this characteristic. Multi-vector integration processing platforms, as well as cloud computing and retrieval systems, form the framework for these protocol sequencing heuristics. The simplicity of shifting algorithm regression targets used in adaptive protocol sequencing relies on differential cloud-based infrastructure models.
Several important changes to the software market and technology landscape have facilitated acceptance and growth of SaaS solutions:
- The growing use of web-based user interfaces by applications, along with the proliferation of associated practices (e.g., web design), continuously decreased the need for traditional client-server applications. Consequently, traditional software vendor's investment in software based on fat clients has become a disadvantage (mandating ongoing support), opening the door for new software vendors offering a user experience perceived as more "modern".
- The increasing penetration of broadband Internet access enabled remote centrally hosted applications to offer speed comparable to on-premises software.
- The standardization of the HTTPS protocol as part of the web stack provided universally available lightweight security that is sufficient for most everyday applications.
- The introduction and wide acceptance of lightweight integration protocols such as REST and SOAP enabled affordable integration between SaaS applications (residing in the cloud) with internal applications over wide area networks and with other SaaS applications.
Some limitations slow down the acceptance of SaaS and prohibit it from being used in some cases:
- Because data is stored on the vendor's servers, data security becomes an issue.
- SaaS applications are hosted in the cloud, far away from the application users. This introduces latency into the environment; for example, the SaaS model is not suitable for applications that demand response times in the milliseconds.
- Multitenant architectures, which drive cost efficiency for SaaS solution providers, limit customization of applications for large clients, inhibiting such applications from being used in scenarios (applicable mostly to large enterprises) for which such customization is necessary.
- Some business applications require access to or integration with customer's current data. When such data are large in volume or sensitive (e.g. end users' personal information), integrating them with remotely hosted software can be costly or risky, or can conflict with data governance regulations.
- Constitutional search/seizure warrant laws do not protect all forms of SaaS dynamically stored data. The end result is that a link is added to the chain of security where access to the data, and, by extension, misuse of these data, are limited only by the assumed honesty of 3rd parties or government agencies able to access the data on their own recognizance.
- Switching SaaS vendors may involve the slow and difficult task of transferring very large data files over the Internet.
- Organizations that adopt SaaS may find they are forced into adopting new versions, which might result in unforeseen training costs, an increase in probability that a user might make an error, or instability from bugs in the newer software.
- Should the vendor of the software go out of business or suddenly EOL the software, the user may lose access to their software unexpectedly, which could destabilize their organization's current and future projects, as well as leave the user with older data they can no longer access or modify.
- Relying on an Internet connection means that data are transferred to and from a SaaS firm at Internet speeds, rather than the potentially higher speeds of a firm’s internal network.
- Can the SaaS hosting company guarantee the uptime level agreed in the SLA (Service Level Agreement)?
The standard model also has limitations:
- Compatibility with hardware, other software, and operating systems.
- Licensing and compliance problems (unauthorized copies of the software program putting the organization at risk of fines or litigation).
- Maintenance, support, and patch revision processes.
Engineering simulation software, traditionally delivered as an on-premises solution through the user's desktop, is an ideal candidate for SaaS delivery. The market for SaaS engineering simulation software is in its infancy, but interest in the concept is growing for similar reasons as interest in SaaS is growing in other industries. The main driver is that traditional engineering simulation software required a large up-front investment in order to access the simulation software. The large investment kept engineering simulation inaccessible for many startups and middle market companies who were reluctant or unable to risk a large software expenditure on unproven projects.
According to a survey by HIMSS Analytics, 83% of US IT healthcare organizations are now using cloud services with 9.3% planning to, whereas 67% of IT healthcare organizations are currently running SaaS-based applications.
Software as a service data escrow is the process of keeping a copy of critical software-as-a-service application data with an independent third party. Similar to source code escrow, where critical software source code is stored with an independent third party, SaaS data escrow is the same logic applied to the data within a SaaS application. It allows companies to protect and insure all the data that resides within SaaS applications, protecting against data loss.
There are many and varied reasons for considering SaaS data escrow including concerns about vendor bankruptcy unplanned service outages and potential data loss or corruption. Many businesses are also keen to ensure that they are complying with their own data governance standards or want improved reporting and business analytics against their SaaS data. A research conducted by Clearpace Software Ltd. into the growth of SaaS showed that 85 percent of the participants wanted to take a copy of their SaaS data. A third of these participants wanted a copy on a daily basis.
One notable criticism of SaaS comes from Richard Stallman of the Free Software Foundation referring to it as Service as a Software Substitute (SaaSS). He considers the use of SaaS to be a violation of the principles of free software. According to Stallman:
With SaaS, the users do not have a copy of the executable file: it is on the server, where the users can't see or touch it. Thus it is impossible for them to ascertain what it really does, and impossible to change it. SaaS inherently gives the server operator the power to change the software in use, or the users' data being operated on.
This criticism does not apply to all SaaS products. In 2010, Forbes contributor Dan Woods noted that Drupal Gardens, a free web hosting platform based on the open source Drupal content management system, is a "new open source model for SaaS". He added:
Open source provides the escape hatch. In Drupal Gardens, users will be able to press a button and get a source code version of the Drupal code that runs their site along with the data from the database. Then, you can take that code, put it up at one of the hosting companies, and you can do anything that you would like to do.
Similarly, MediaWiki, WordPress and their many extensions are increasingly used for a wide variety of internal applications as well as public web services. Duplicating the code is relatively simple, as it is an integration of existing extensions, plug-ins, templates, etc. Actual customizations are rare, and usually quickly replaced by more standard publicly available extensions. There is additionally no guarantee the software source code obtained through such means accurately reflects the software system it claims to reflect.
Andrew Hoppin, a former Chief Information Officer for the New York State Senate, refers to this combination of SaaS and open source software as OpenSaaS and points to WordPress as another successful example of an OpenSaaS software delivery model that gives customers "the best of both worlds, and more options. The fact that it is open source means that they can start building their websites by self-hosting WordPress and customizing their website to their heart’s content. Concurrently, the fact that WordPress is SaaS means that they don’t have to manage the website at all – they can simply pay WordPress.com to host it." The cloud (or SaaS) model has no physical need for indirect distribution because it is not distributed physically and is deployed almost instantaneously, thereby negating the need for traditional partners and middlemen.
- List of 'as a service' service types
- Cloud-based integration
- Application service provider
- Subscription computing
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