Real-time predictive sports analytics
Industry:
Media and entertainment
Goal:
Real-time sports analytics
GameScript delivers real-time, data-driven insights that fuse AI predictions with human analysis. SurrealDB’s unified multi-model engine powers high-scale ingestion, low-latency queries, and personalised analysis streams.
Key challenges
Rapidly shifting odds
Sports data changes moment by moment, requiring a dynamic data model.
Millions of concurrent events
The platform ingests massive write volumes during live games.
Time-sensitive annotations
AI predictions and analyst insights must appear instantly in one view.
Polyglot overhead
Multiple databases would slow development and increase complexity.
Solutions
Unified multi-model power
SurrealDB models users, AI insights, and annotations without multiple systems.
Advanced querying & real-time features
SurrealQL blends joins, graph traversals, and live queries for instant content.
Developer velocity & simplicity
Surrealist and the embeddable Rust binary accelerated prototyping and rollout.
Integrated ML & scalable performance
In-database inference powers sub-100 ms latency at massive scale.
Results
Lightning-fast launch
↑ SPEED
Delivered a production-grade platform in record time.
Real-time at scale
↓ LATENCY
Handles millions of writes with sub-100 ms latency.
Single system simplicity
1 SYSTEM
Eliminated separate vector, document, and graph stores.
Flexible schema deployments
↑ AGILITY
Rapid rollout of new sports markets with minimal overhead.
