The success of any
cloud-based database management system is dependent on choosing the correct
Database-as-a-Service (DBaaS) environment. And this is an increasingly
significant decision: The global cloud database and DBaaS market is expected to
grow from an estimated $12 billion in 2020 to $24.8 billion in 2025, according
to a recent Research and Markets report.
What’s driving that growth? The ever-increasing demand to process queries with
The DBaaS model is an
attractive option for rapid deployment of managed database assets in the cloud.
DBaaS providers not only host all your database infrastructure and data, but
also manage all of the hardware and networking infrastructure. They take care
of rapid provisioning, scalability, resiliency, failover, backup, and
restoration. In addition, DBaaS providers offer varying levels of promising
features such as monitoring, alerts and notifications, round-the-clock support,
and geo-replication for availability and backups.
But when you look at the
increasingly competitive DBaaS market, along with rapid advancement in cloud
database architecture, technology, and features, it becomes clear that organisations
must perform a detailed analysis of the competitive offerings and select the
most appropriate DBaaS for their technology stack.
providers are not all alike – they differ significantly across a wide range of
characteristics. To make the best choice for your organisation, you must
consider these critical factors to make the right choice for your applications
and your businesses.
True high availability and resilience
Business leaders, architects,
application owners, and others understand that high availability is essential
for business continuity. Modern databases must always be on, and if they fail,
they need to recover fast to minimise data loss. Differences between five-nines
(99.999%) and three-nines (99.9%) of availability can add up quickly and
degrade your ability to serve customers in a digital economy where competition
is only a single click away. For developers building modern applications
leveraging microservices with serverless and containers architecture, it is
critical to consider the impact on application availability.
Increased scalability and high performance
To provide instant
experiences to your customers, you can’t allow the database to be a performance
bottleneck. Developers and architects know modern applications need both speed
and scale, but too often scale is left out of the equation. Optimising resource
usage to increase throughput, minimising contention, and enabling the largest
possible workload to be processed are essential considerations when choosing
the right DBaaS.
Flexibility to choose on-premises or cloud as needed
Modern applications are, by
design, created in a more modular style. They can span multiple cloud providers
or consume services from multiple clouds. Most of the time organisations focus
their investment in a single vendor’s technology stack and hence rely on a
single cloud provider. However, to increase agility and improve performance,
your data layer has to span both cloud and hybrid environments. Developers and
architects must adopt a multi-cloud strategy to avoid vendor lock-in and take
advantage of best-of-breed solutions. They must select a flexible database that
operates on all the clouds and on-premises in order to preserve operational
Modern data models
Digital footprints are
growing, with massive amounts of data coming from different sources, in
structurally variable formats. Data is generated and arrives for processing
much faster than it ever did before, and in greater volume. There’s an
increased need for systems that capture, store, visualise, and analyse complex
data with heterogeneous structures. Modern databases need to be able to store
and process a variety of data types, in any format, and you want to be able to
access and process that data using any appropriate model. For some applications
you may want to view the data from a tabular (relational) perspective, but for
others you may want to view relationships via graphs, you may want to do
full-text search, or you may want to access data as JSON documents. All of
these models, and others, should be possible. Developers and architects must
select an intelligent, data agnostic, performance-focused, and scalable
database that can serve data when and how it’s needed and capture exactly
what’s happening at any moment in time.
Globally distributed NoSQL database
Most companies serve
customers who are global. Modern applications must provide instant responses to
users regardless of their distance. To support the responsiveness and
scalability required by these applications, enterprises are increasingly
looking at innovative database technologies such as geo-distributed data
processing as the key enablers. Developers and architects must select the right
database for highly interactive, scalable, and low-latency geo-distributed
apps. They must choose a modern database that can be deployed globally yet provides
local latencies for writes and reads, while simplifying resolution of conflicts
and enabling strong eventual consistency for datasets.
Do more with less (cost optimisation)
Reducing total cost of
ownership (TCO) is always a top priority for businesses. An efficient use of
compute resources and re-deploying capital into the right opportunities are two
key parameters that influence your business growth. As your data grows, inefficient
use of compute resources could result in high unwanted charges. Multi-tenant
datastores are a great way to lower your cloud expenditures. A modern database
with a capability to support multi-tenant shared models in order to deliver
lower costs, easier integration with APIs, and hands-free maintenance are
essential considerations when choosing a DBaaS.
Businesses are increasingly embracing the cloud and selecting DBaaS because it provides them with greater agility, simplifies operations, and allows them to scale. In order for them to truly benefit from these services, they must consider these critical dimensions to help them make an informed decision based on their organisational needs.
By Ajeet Raina at Redis Labs