How MinusOneDB's founders built a platform analyzing trillions of data points across hundreds of datasets — all returning results in seconds.
A large media company needed to analyze massive amounts of data on demand. They explored trends and behavioral patterns across global audiences but couldn't anticipate what data they'd need next. They required a solution that could incorporate new datasets at scale and perform analysis along many dimensions simultaneously.
"Which action star do viewers in China identify with most?"
"Which content areas adjacent to young adult vampire content are trending up?"
No existing platform could handle this. Most solutions required hours to return results. Pre-computing metrics was useless unless you already knew what was relevant — and the whole point was discovering what you didn't know to look for.
MinusOneDB's founders designed a custom data architecture optimizing data throughput and transformation at every layer: distributed search, elastic compute, custom-built streaming data processors, and column store databases — all working in concert to deliver sub-second queries over trillion-row datasets.
The platform was built to ingest new datasets without re-architecture, perform statistical analyses on the fly, and return results fast enough to enable genuine exploration — not just reporting.
Approximately 1 trillion rows of page-view and behavioral data from one of the world's largest websites.
10% of all tweets from 2010 onward — over 100 billion data points of public conversation.
Behavioral signals enriched with AI to understand audience preferences and patterns at scale.
Campaign performance data across channels enabling real-time optimization and ROI analysis.
Viewing patterns across platforms revealing what audiences actually watch, when, and for how long.
Understand the breadth and volume of ongoing conversations across any topic or cultural moment.
Drill into conversational content including specific words, phrases, sentiment, and context.
Build custom audiences for targeting based on behavioral signals, interests, and real-time engagement.
Capture behavioral insights that span multiple domains — connecting content, social, and advertising data.
Build and deploy micro-audiences at the speed of insight — from discovery to activation in minutes.
