From Warehouses to Real-Time
Real-time analytics is no longer a retrofit to systems never designed for it — it has become a dedicated category built to deliver both performance and efficiency. Co-hosted by GigaOM and StarTree, this webinar will explore how these systems were designed with a fundamentally different center of gravity by optimizing for high concurrency, sub-second query latency, and operational workloads where freshness of data is non-negotiable.
We’ll define the attributes that set real-time analytic databases apart, provide a clear view of the current landscape, and share a practical framework for navigating technology choices. The discussion will be grounded in real-world use cases across industries—ranging from personalization and anomaly detection to AI/LLM observability—that highlight the unique value of this category.
You’ll come away with:
- Clarity on the category — What sets real-time analytic databases apart from traditional warehouses and OLAP systems.
- A framework for navigation — How to evaluate platforms and choose the right fit for your use case.
- Proven examples — Real-world cases of organizations using real-time analytics for personalization, anomaly detection, and AI/LLM workloads.
Join us to understand why this architectural shift matters, how organizations are already realizing business impact, and where the space is headed next.
