Why The Time For Real-Time Is Now, And What To Do About It
RTInsights, Wednesday, August 14th, 2024
It's not 2014 anymore. It's 2024. Real-time analytics are available now. A decade of innovation has produced an Apache Pinot that is enterprise-ready and can even integrate directly with your Gen AI initiatives as a vector index datastore.
We are collectively experiencing a whirlwind convergence of technological evolution, strategic industry shifts and unrelenting business demands driving the rapid adoption of real-time analytics. Organizations are being asked to run ever faster and at larger scales, while also being leaner and more cost-efficient. Rather than wait hours or days for answers, users want queries answered in seconds or milliseconds. Rather than just support internal customers, organizations want to open up data access to partners, customers, prospects or even the general public. Oh, and also, you might even be asked to maintain or even cut your current operational budget - maybe even in half. On top of that, you need to implement and innovate right now, with implementation goals set within current fiscal years.
Let's explore some of the common factors facilitating the transformation to real-time analytics and consider some of the most recurrent best paths forward.