Data as a Service
Data as a service (DaaS) is usually referred as the cousin of Software as a service, for the simple reason that in both the cases the product i.e. data and software, is provided on demand. Service is provided regardless of geographical constraints between the user and the provider. DaaS was initially used in web mash-ups but it is now used more commercially.
Usage of DaaS provides convenient and cost effective solutions to the organisations which are consumer based. They can fetch data as and when required rather than maintaining a huge repository. One more reason for the wide spread popularity of DaaS is the fact that high speed internet is readily available around the globe, round the clock. This makes data retrieval easier.
There is no limit to the types of data that are available in DaaS – be it financial data, census, geographic, retail, manufacturing, healthcare, anything can be made available. The main advantage of using DaaS is that the data is retrieved as a block regardless of the application for which it is being used. So, it makes life easier for the organisations which have varied consumer/client bases. They need not worry about the application for which the data is being retrieved.
Since the demand for DaaS is increasing rapidly, there are numerous vendors offering the service. Basically, these vendors charge customers either based on the volume of the data retrieved or based on the type of data retrieved. Volume based can be further divided into quantity based pricing and pay-per-call pricing. In quantity based pricing, the consumers are charged as per the quantity of data retrieved. In pay-per-call pricing model, the consumers are charged as per the number of requests they send for data retrieval.
As mentioned earlier, DaaS is gaining immense popularity. So it is obvious that DaaS provides innumerable benefits to the users as well as the service providers. The benefits include
- Agility – Due to the simplicity of data retrieval, consumers can easily move from one platform to another.
- Cost Effectiveness – Since data is retrieved as a block/package, it reduces the cost. Also the providers can build the base with experts and can outsource the presentation layer, which further reduces the cost.
- Quality – As the update is through single point, the quality of data is assured.
- Ease of collaboration
- Auto updates
Even though DaaS provides various benefits to the user there are few concerns over security, privacy and other similar stuffs which are common for all cloud based technologies.