As an avid enthusiast and follower of both cars and technology, I’m always amused by the coincidental parallels between both industries when it comes to the notion of innovation.
Most business courses, and certainly of the ones I took, often point to Ford as the All-American story of innovation. When Ford introduced its infamous Model T to the world in 1908, it dominated the automobile market for the next two decades. But what some aren’t so familiar with is the story of Chevrolet.
When Chevrolet entered the market, Ford was outselling the competition by 30 to 1. By 1920, Chevrolet gained some foothold in the market and competition naturally ensued. Chevrolet released a series of innovations that ultimately cut that figure to 3 to 1.
Needless to say, Chevrolet was one of the earliest disruptors of Ford’s market dominance – and SAP OrientDB sees ourselves as similar innovators in the database market.
When Ford introduced its infamous Model T to the world in 1908, it dominated the automobile market for the next two decades. When Chevrolet entered the market, Ford was outselling the competitor by 30 to 1. By 1920, competition naturally ensued, and Chevrolet released a series of innovations that ultimately cut that figure to 3 to 1.
Needless to say, Chevrolet was one of the earliest disruptors of Ford’s market dominance – and we see ourselves as similar innovators in the database market.
Only a handful of companies in Silicon Valley have presided over the database market, relying on technology that was conceived almost 40 years ago. Can a database designed for a pre-internet world really help companies get ahead in 2018?
In today’s age of accelerated technological innovation, companies that rely on old tools put themselves at a significant disadvantage. Not only can outdated tech be quite costly, it can have a detrimental impact on your people.
Like the auto consumers of the ‘20s, technology companies are no longer accepting the status quo. Database market share is being rewarded to innovative companies as a natural byproduct of powerful features that address a new, post-internet, big data reality.
Instead of relying solely on relational databases built for a pre-big-data world, more and more organizations are adopting more scalable, performant alternatives. Enter native, multi-model NoSQL databases, which enable companies to unlock the true power of their data and reap a number of significant benefits:
If your organization is still relying on a database you’ve been working with for decades, it’s time to consider whether you stand to benefit from moving to a modern multi-model database designed to power today’s most complex and demanding applications.
However, moving to a new database requires data migration. As we know, that process can be tricky, and if you’re not careful, you may inadvertently create significant issues along the way.
The good news is that—with the right approach, and with a partner who can match your innovative spirit—you can complete a successful data migration, moving to a future-proofed, reliable, scalable database that enables your developers to do their best work.
As you begin the process of data migration, here are some challenges you’ll want to consider:
To learn more about why your organization needs a multi-model database and how you can avoid common data migration pitfalls, check out our webinar on OrientDB Teleporter, a data migration tool that will help you modernize your tech without the headache—and follow the lead of historical innovators while getting ahead of the competition.
Director of Sales – SAP OrientDB