Insights on building, scaling, and enforcing real-time decisions in modern data-driven systems.

Recently, we held a webinar, hosted by one of our engineers, entitled “Discussion & Demo — Machine Learning with True…

Kubernetes has quickly become the most popular container orchestration solution with DevOps and Site Reliability Engineers. Kubernetes was developed and…

Congratulations! You’ve mastered machine learning and can now generate a model that will help your enterprise succeed. There’s just one…

We are excited to announce the availability of the Volt Active Data Enterprise Edition on AWS, a in-memory operational SQL…
This week, we released Volt Active Data v8.2. Here are some of the highlights: Table TTL If you’ve ever built…

Application State Management and Data-Driven Decision Making As the complexity of applications and systems increases, the size of the teams…

Recently, I read the McKinsey article “Breaking away: The secrets to scaling analytics.” The article discussed their findings on the…

Editor’s Note: This blog post originally appeared on the Vanilla Plus blog on May 30, 2018. Digital transformation has become…
We are pleased to announce Volt Active Data v8.1. This release includes features that can reduce the total cost of…

Database Blog Trends, First Half 2018 Looking back over the first half of the year, we notice three trends in…

As we enter the 5G era, strategic telcos are digitizing their infrastructures to not only handle the explosion of data…

There is a massive difference between generating the input data needed by a Machine Learning model once (to prove a…
Volt is the real-time decisioning layer for mission-critical systems, ensuring decisions are made and enforced immediately against accurate state, even under sustained load.
If your system cannot tolerate delayed enforcement, inconsistent behavior, or reconciliation after the fact, let’s start a conversation about whether a dedicated decisioning layer makes sense for your architecture.
Your applications are about to get a whole lot better.