The right infrastructure investments are just as important as asking key data science questions. By choosing the right DBMS, you can ensure IT’s ability to deliver results and make the most of its limited resources.

Getting the most from big data requires working at a massive scale. The right infrastructure can ensure that your DBMS can process the volume of data necessary to get the answers you need — when you need them.

Big data isn’t just a single use case. Choosing a DBMS platform that is easily adaptable to a broad range of data types, workloads and applications is critical to maximizing your infrastructure investment.

Let’s face it — after configuration, physical modeling, index creation and tuning, implementation can get expensive. To keep costs low and ensure a quick, high-ROI big data win, it’s essential to look for a DBMS that integrates with existing database instances and delivers performance out of the box.

Whether we're ready or not, big data today means even bigger data tomorrow — and that can lead to exponential storage growth. The right DBMS can better utilize existing storage and use data compression to postpone additional storage requirements — plus, with multi-temperature data management, you can get optimal performance on legacy servers.