By Steve
Tuohy
In data
management, understanding the total cost of owning and maintaining a database
is essential for any business. While the initial software license costs might
seem straightforward, organizations must be aware of several other expenses
that can quickly escalate as data grows, impacting the bottom line and
hindering the ability to stay competitive.
In
today's fast-paced business landscape, real-time data and rapid decision-making
are crucial for success. Selecting the right operational database deserves
careful consideration. The choice impacts the ability to serve customers and
innovate. It can also affect long-term organizational costs. However, many
businesses fail to notice the hidden costs that lurk beneath the surface.
Identifying them can help avoid potential pitfalls and optimize database
expenditure.
Here are
five often-overlooked areas that contribute significantly to the total cost of
database ownership. By recognizing and evaluating these hidden costs,
organizations can make well-informed decisions to optimize their database
infrastructure and choose the most cost-effective solution for their unique
needs. With a clear understanding of the total cost of ownership, they can
leverage the power of real-time data while maintaining a competitive edge in
the market.
1:
Growing Database License Costs
Before
digging into some of the more masked expenses, the most basic sign of cost
escalation is the bill from the database vendor. While starting with an
inexpensive database seems sensible, many databases lack scalability and incur
disproportionate costs as data volume increases. For example, scaling RAM does
not typically translate to proportional performance improvement with in-memory
databases. Alternatively, a database designed for scale experiences hardly any
decrease in performance as the workload increases.
Organizations
might also discover that their overall database license costs have grown over
time as they have amassed multiple databases for various purposes, such as
key-value, document use cases, cache, source of truth, etc. To address this,
organizations should consider opting for a multi-model database that can handle a mix of uses
cases, avoiding the need for multiple databases and complex licensing fees.
2:
Concealed Infrastructure Costs
While
software license costs are the most visible, hardware and infrastructure are
often much larger database expenses. Open source software may seem
cost-effective but often requires substantial infrastructure investments.
Whether an organization manages data centers or uses cloud services, its
database infrastructure needs and costs can vary greatly. Even databases with
matching performance and pricing may differ significantly in server, storage,
and networking requirements.
Also,
many database vendors use node-based pricing, causing software license fees to
rise alongside hardware costs. This situation encourages vendors to burden
customers with an unnecessary amount of low-density servers based on
inefficient in-memory architectures. To compound the issue, these in-memory
strategies also necessitate more data copies (i.e., increased replication
factors), leading to even greater infrastructure demands. Organizations should
look at databases that price by the data volumes under management to mitigate
this problem.
3:
Payroll Expenses for Database Management
Beyond
direct licensing and infrastructure costs, database management involves
significant personnel expenses. Setting up, managing, upgrading, and
troubleshooting databases requires a team of skilled professionals, which can
strain budgets. While some databases might be manageable initially, they can
become complex and resource-intensive as the deployment grows. Opting for a
database that scales seamlessly can reduce the need for constant maintenance
and support, freeing up staff to focus on more strategic tasks.
4:
Opportunity Cost of Downtime
The
impact of downtime on a business can be far-reaching and costly. If a database
experiences regular outages, it may compromise an organization's ability to
serve customers, conduct transactions, or deliver real-time services. The
opportunity cost of downtime can be enormous, leading to lost revenue,
decreased customer satisfaction, and damaged brand reputation. To avoid this
hidden cost, it is vital to evaluate a database's track record of uptime at
scale.
5:
Ability to Compete in the Marketplace
In today's
competitive economy, being a fraction of a second slower than your competitors
can impact revenue. A database that can deliver lightning-fast responses with
high throughput can unlock new revenue streams and enable product innovation.
Organizations need to ensure that their chosen database has the capabilities
needed to outperform competitors, as a lackluster database may hinder business
growth and customer satisfaction.
Choosing the Best Database for Business
While
assessing database options, it is crucial to balance benefits and costs. Solely
focusing on cost might lead to less-than-optimal decisions. Instead, take a
comprehensive approach by assessing the true cost of a database, factoring in
scalability, performance, uptime, and customer experience. Recognizing these
hidden costs is essential in making informed decisions for your business's
database requirements. Ultimately, the ideal database solution should provide
tangible value to your customers both now and in the future, all while
minimizing the overall total cost of ownership.
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ABOUT THE AUTHOR
Steve
Tuohy is director of product marketing at Aerospike. He has extensive experience in the
enterprise software market, and data management in particular. Prior to
Aerospike, he helped build marketing teams and growth at large companies like
Cisco, late-stage and IPO companies like Cloudera and Alation, and early-stage
companies Bigstream and Etleap. Steve has an MBA from Chicago Booth and studied
economics and political science at the University of Michigan.