The current landscape of cloud computing is comprised of three distinct models: infrastructure-as-a-service, software-as-a-service and platform-as-a-service. Each sphere offers a unique experience a host of benefits of cloud computing, but there is one common, underlying theme. Every model affords the user or organization flexibility because of changing needs. For example, a startup software developer may employ an IaaS model when first starting operations. As the startup gets more successful, they can contact the cloud services provider to increase storage and processing needs to update software on a regular basis. Storage increases can handle an influx of data, while processing power can provide the juice needed for development within the cloud.

Pretty soon, however, a fourth sphere may be entering the cloud and used extensively in combination with private and public clouds.

Brief database history
Databases are a common term and serve many purposes. First, databases are basically a collection of properly organized data that a program can read. This information is typically accessed by means of a database management system.

The origin of databases can actually be traced back to ancient times, when those civilizations developed systems in governments, schools, libraries and businesses, according to Intuit. These early systems resembled the high-tech systems used today, in a sense. Yet, the term as many have come to know it did not become prevalent until the 1960s, when computers really began to take off as they started to become cost-effective. During the 1970s, two database prototypes were created that would later be the foundation of some of today's systems. In 1980, the Structured Query Language was developed to become the standard just as databases began appearing on desktop computers.

Finally, the 1990s up until now have seen rapid improvements with databases from multiple companies. Due to the Internet of Things, virtually every device is connected online, and this provides companies with a wealth of big data. Databases help store and manage these large volumes of data and run software to find trends. In fact, data organizations are finding data collection to be so fast and resource-intensive, they are turning toward the cloud to help.

According to a December 2014 report from IDC, spending on cloud-based big data analytics will increase three times as fast as on-site solutions. Simply put, on-premise storage of data requires vast resources and costs will be quite high. The cloud serves as the alternative.

Of course, it only make sense that a widely used service becomes a popular cloud service. This up-and-coming cloud is objectively known as database-as-a-service. Employees do not have to be experts understanding the workings of databases in order to understand DBaas. The model can be private or public and support applications. Like the IaaS model, DBaaS can offer scalability and ease of use.

Use of DBaaS
This newer model offers some exciting prospects when paired with an existing IaaS cloud service. An enterprise may find it useful to implement both services under the control of a private cloud. These clouds are run entirely in-house and protected by a firewall, so companies with sensitive information benefit the most from a private cloud. Remember, these clouds are designed to give organizations greater control. According to TechTarget, private models are best suited for companies or organizations with mission-critical workloads and that have dynamic computing, meaning their needs are constantly changing. 

According to Ken Rugg, CEO of Tesora, database workloads sometimes pose substantial issues when being moved to the cloud, but DBaaS solves that by offering shared service architecture and numerous other benefits.

Enterprises can utilize the private cloud to house this information for easy access. For example, the DBaaS stores collections of data while running data analysis software. From there, applications built through the cloud can be scripted to automatically transfer data between the two models. Enterprises can utilize both cloud models for unique functions but use a private cloud to keep everything under one roof, in a sense.

Cloud models are always improving to offer more, and better, services to those who need them. Currently, three models are the dominant players in cloud services, but expanding data collection may pave the way for organizations to adopt DBaaS models. When combined with existing IaaS cloud services, an enterprise's operations can hypothetically be all in the cloud, affording them with cost-effective solutions.