3 Takeaways from “The End of the One Size Fits All Database Era” Webinar

We had a record-breaking turnout to our free webinar yesterday on The End of the One Size Fits All Database Era. Clustrix CMO Mark Sarbiewski and Senior Principal Analyst for Enterprise Strategy Group Evan Quinn covered topics ranging from the challenges of legacy databases to expanded definitions of Big Data and even the impacts of today’s ‘super apps.’

In case you missed it, here is a taste of some of the information discussed in yesterday’s The End of the One Size Fits All Database Era webinar.

1. Databases are experiencing a fundamental role change.

While IT used to play more of a supportive, enablement role for businesses, it’s now moving to the core of business. Just think about the wave of new Web 2.0 companies that center themselves around the ability to process large amounts of data quickly and accurately. These companies need a new generation of databases that support these new objectives.

Nothing underscores this evolution more than the emergence of ‘super apps’—or applications that process millions of users interactions per second, rather than hundreds of users and interactions that were commonplace just a few years ago.

Big Data, the cloud, and the growing popularity of modern ‘super apps’ are putting more pressure on databases to perform better and scale faster.

2. Big Data is getting bigger and bigger.

The notion of the terabyte dataset is moving from rare to status quo. In fact, a casino recent survey by the Enterprise Strategy Group found that most companies today have operational datasets of at least one terabyte of data.

 

 

3. You need a different database architecture for the world of Big Data.

In order to get scale out of traditional legacy databases, companies will try just about anything.

Scaling up – companies may buy some time by throwing money at exotic hardware, but this is merely an expensive stop-gap with rapidly diminishing returns.

Sharding – this is another approach, but you lose much of the power of the RDBMS and inherit a lot of ongoing complexity.

So how do you preserve the power of SQL and relational databases while overcoming the hurdles of scale and high concurrency?

Clustrix has the solution, thanks to its patented scale-out solution that reinvents the relational database from the ground up, scales horizontally across blade servers and offers linear performance improvement each time a new node is added to the cluster. You can learn more about how the Clustrix solution works here.

 

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