We’re excited to share that SingleStore has been recognized in the Gartner Hype Cycle for Data Management, referenced in the Operational Intelligence category.
We believe this inclusion affirms what our customers already know: real-time decision-making is no longer a luxury; it's a necessity. And delivering it requires a data platform that’s fast, scalable and intelligent by design.
What Is Operational Intelligence?
Operational Intelligence is a modern architectural approach that brings advanced analytics, AI and machine learning directly into transactional workflows. Rather than analyzing data after the fact, organizations can now act in real time, with analytics embedded at the point of decision.
In Gartner’s view, this shift is foundational for use cases like:
Real-time fraud detection
Forecasting and dynamic repricing
Customer 360 and personalized experiences
IoT telemetry and operational monitoring
Predictive maintenance and what-if analysis
Operational Intelligence is the next evolution of what was once called hybrid transactional/analytical processing (HTAP), now expanded with in-memory processing, stream analytics, vector search and generative AI. It’s a proven technology, actively delivering results, but still early enough to create real competitive advantage.
Why SingleStore
SingleStore is proud to be included in this analysis of the Operational Intelligence space. Our platform is built for this moment: a unified, high-performance data platform that combines in-memory speed, high concurrency and AI-ready features to power real-time, data-intensive applications.
We help our customers:
Eliminate complexity by consolidating systems
Accelerate insights with analytics at the point of action
Scale confidently across operational and analytical workloads
Enable AI and ML with built-in support for vector search and GenAI integrations
From financial services to SaaS to manufacturing, companies are using SingleStore to streamline architecture and drive faster, smarter decisions – right when they matter most.
Gartner, Hype Cycle for Data Management, 2025, Aaron Rosenbaum, Robert Thanaraj, 9 July 2025
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