Database-as-a-Service (DBaaS) is a cloud computing service that allows companies to use a database without setting up physical hardware. Users also do not need to install software or hire staff members to maintain the underlying technologies.
DBaaS simplifies database management with one-click operations, eliminates time-consuming tasks, and grants the agility for faster software development.
Read on to learn what DBaaS technology offers and how to select the ideal DBaaS provider for your team.
In a traditional setup, the database server is a part of the on-premises computing infrastructure. The local staff is responsible for installing, managing, protecting, and scaling the database.
In contrast, DBaaS is a subscription service in which the provider manages the hardware and delivers the database as a private cloud service. The service provider handles the high-level database administrative (DBA) tasks, including:
The DBaaS customer’s only responsibilities are using the database and controlling its content. However, if the company desires more control over the database, the DBaaS provider can enable more user involvement.
Another common name for DBaaS is the managed database service. This type of cloud service covers both relational and non-relational databases.
DBaaS removes the need to hire and train a team to manage the database. Instead, one staff member controls the database instances via an API and a management dashboard. The dashboard allows one-click operations that simplify complex processes such as provisioning and specification.
Once the console receives instructions from the user, the DBaaS platform provisions the database and returns a query-able endpoint. The user can use this code directly in the application.
Database-as-a-Service enables users to operate a database with a common set of abstractions (primitives) without knowing the implementations. For example, a developer could add a database instance using the same set of API calls regardless of the database type (MongoDB, Oracle, MySQL, etc.). The DBaaS model also provides simple mechanics for:
Ensure optimal workloads with phoenixNAP's database servers that easily and quickly scale to meet the application's requirements. Learn everything you need to know about them in our post What Is a Database Server & What Is It Used For?
Database-as-a-Service has two primary consumers:
DBaaS is ideal for small to medium-sized companies without big IT departments. As the DBaaS takes on the financial burden of hardware and maintenance, smaller teams can build apps that they cannot afford to support on-premises.
DBaaS is also a popular option for teams that want to set up and scale databases for complex distributed apps. For example, in an IaaS and DBaaS setup, the DBaaS solution can request resources from the IaaS platform that automatically manages the provisioning, storing, and networking processes.
Know the difference between IaaS, PaaS, and SaaS, three of the most popular types of cloud offerings on the market.
Companies also use DBaaS platforms to support specific releases or restrict the configurations users can provision. For example, a company can restrict developers to provisioning with traditional hard disks. Meanwhile, DevOps engineers can have the ability to provision higher capacity servers with SSDs.
Databases processing data with strict regulatory requirements are not suitable for DBaaS due to the risks of storing data on a cloud. Also, mission-critical applications that demand 99.999% of uptime are a better fit for in-house infrastructures.
Setting up DBaaS requires a cloud service and a database service. Popular cloud providers are Amazon AWS, Microsoft Azure, Oracle Cloud, Google Cloud Platform, and phoenixNAP Bare Metal Cloud. The most popular DBaaS providers are:
The cloud and database services do not need to be from the same provider. For example, a team can set up Bare Metal Cloud for cloud requirements and pair that service with Microsoft’s SQL Server database. However, not all cloud platforms support all database management systems (DBMS), so perform research before combining different providers.
DBaaS offers significant operational and financial advantages over standard on-premises databases.
Standard database deployment is a complex, multi-step process that requires various tasks. A typical deployment looks like this:
This process is far from agile, especially if the team is trying to transition to DevOps. Deploying databases this way is both prone to errors and time-consuming.
The DBaaS model requires zero IT intervention and automates the deployment process. The company establishes the standard of database provisioning, after which a developer can handle the deployment. IT admins focus on more crucial tasks, while developers can spin up and integrate a database in minutes.
This self-service model is ideal for companies trying to speed up the software development life cycle. The databases also become more consistent, which leads to better system reliability.
Standard database management requires the team to handle the tuning, monitoring, patching, upgrading, and resizing of the database. As companies grow, the number and types of databases that require management increase, and these tasks become even more time-consuming.
With DBaaS, the team saves valuable time as:
The lack of repetitive duties and micro-managing allows the team to focus on more impactful tasks, such as building applications and innovating.
Cloud database providers typically offer enterprise-level security. Good providers protect your databases with:
The result of high-level security is less risk of data loss. Additionally, all major cloud providers offer a service-level agreement (SLA) that guarantees uptime.
Improve your data center security by adding strategic layers of protection that keep your data and systems safe.
Database-as-a-Service is a cost-effective alternative to an in-house database setup. DBaaS allows a company to pay a predictable periodic fee based on the consumed resources. A business saves money by not having to invest in:
Database-as-a-Service also prevents unnecessary resource overhead. Like any cloud offering, users control how many resources they consume, which allows a business to ensure optimal consumption at all times.
DBaaS solutions have high availability and run at peak performance. In the case of failure, the platform reroutes traffic to a replica and maintains uptime.
Database-as-a-Service has excellent scalability. Users can quickly and easily add storage and computing capacity to meet high processing demands. Scaling down during non-peak usage is also simple. This elasticity is ideal for dynamic database demands, such as end-of-quarter reporting or seasonal spikes in e-shopping.
A DBaaS system can also monitor the database for spikes in demands. If the user sets up policies for usage thresholds, the platform can automatically scale out as demand increases and scale back once demand reduces.
Despite notable benefits, DBaaS also has several disadvantages when compared to an on-premises database setup. These drawbacks are:
While worrying, these issues should not be a problem if the company partners with a reputable DBaaS provider.
Check out our article On-Premise vs Cloud to better understand how these terms relate and contrast.
Finding the right DBaaS provider starts by determining which database technology is the right fit for your application’s technical needs. Once you know what database you require, consider the factors below to choose the right DBaaS provider for your company.
The database layer should be physically close to your servers. Too much distance between the infrastructure leads to two problems:
Ideally, your app server and database server should be in the same data center. The less space there is between the devices, the better.
High availability is essential to your application. Consider the following factors when choosing your DBaaS provider:
Your DBaaS provider must provide a service that maintains optimal performance as your data volume grows. If your application has high processing needs, do not rely solely on the provider’s benchmark tests. Instead, simulate the operation of your app to test the service with your workload.
If you expect notable growth in either data volume or traffic, ensure the provider makes it easy for your team to scale the service. Providers offer two types of scaling:
If your app has a large dataset, horizontal scaling (or scaling out) is the better option. Vertical scaling is a better fit for small-scale workloads due to the limit on how much hardware the provider can fit in one device.
All solid providers have a robust backup and recovery system in case of system failure and human error. Answer the following questions before you choose your DBaaS provider:
Read our guide to data backup strategy to ensure your business never falls victim to a data loss.
Monitoring, analytics, and alerting give insight into the health of your database. The provider must enable monitoring and alerts that inform customers when metrics fall outside the normal range. Consider the following when choosing your DBaaS provider:
A DBaaS provider must ensure your data’s safety and provide you with tools to protect cloud assets from unauthorized access. Answer the following questions to find the right provider:
A fast and helpful support team is vital for providing advice and responding to emergencies. The following questions will help you pick a provider with a solid support team:
Database-as-a-Service can add agility and flexibility to development teams no matter the size or industry. Use DBaaS to free your team from maintenance duties and engage developers with tasks that lead to innovation and business growth.
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