Skip to content
NEW BLOG

Using Surrealism to build your own extensions

Read blog

1/2

The AI-ready
database for gaming

Build AI-driven, real-time, and deeply immersive digital experiences - from adaptive gameplay and personalised content to secure economies and predictive systems.

  1. Babcock
  2. ING
  3. Nvidia
  4. Apple
  5. Samsung
  6. Tencent
  7. PolyAI
  8. Verizon
  9. Walmart
  10. Carrier
  11. Saks Fifth Avenue
  12. San Francisco Compute Company
  13. Shield AI
  14. Babcock
  15. ING
  16. Nvidia
  17. Apple
  18. Samsung
  19. Tencent
  20. PolyAI
  21. Verizon
  22. Walmart
  23. Carrier
  24. Saks Fifth Avenue
  25. San Francisco Compute Company
  26. Shield AI

CAPABILITIES

Built for security, speed, and AI-first design

Rust-based core for security-critical environments

High concurrency, zero-cost abstractions, and memory safety for large-scale online games and global content platforms.

Native AI integration with vectors and graphs

Build AI-enhanced features directly into gameplay including generative NPC dialogue, dynamic quest generation, and intelligent item systems.

Horizontally scalable by default

Horizontal scaling with no manual sharding, supporting millions of concurrent users for massively multiplayer and high-concurrency streaming.

One database. All your game systems

Manage user profiles, game state, matchmaking, analytics, and AI features with document, graph, vector, and time-series support.

SEE IT IN ACTION

Detect cheating networks with graph queries

Traverse player interaction graphs to uncover coordinated cheating rings and suspicious trade patterns.

1		-- Find players connected to a banned account
2		-- through in-game trades within the last 7 days
3          SELECT
4		<-(traded_with WHERE timestamp > time::now() - 7d)
5                 <-player.* AS connected_players
6FROM ONLY player:banned_42;

USE CASES

Core use cases for gaming and entertainment

Cheating/fraud networks

Detect suspicious activity in PvP economies or virtual marketplaces using graph analysis and real-time monitoring.

Dynamic content personalisation

Recommend maps, skins, items, or in-game events based on player history and affinity.

Smart social layer

Intelligent friend and guild recommendations using behavioural graph analysis and social network modelling.

Gameplay telemetry

Understand moment-to-moment player decisions with real-time analytics and behavioural tracking.

Retention metrics

Measure churn risk, engagement drops, or content fatigue in real time with predictive analytics.

A/B testing

Evaluate new mechanics or pricing strategies live with instant feedback and statistical analysis.

TRUSTED BY

Powering innovation across industries

Samsung

Unlocking insights with knowledge graphs

Samsung uses SurrealDB to power knowledge graphs for real-time audience insights and ad targeting in its ad division.

Learn more
Tencent

Unified infrastructure monitoring

Tencent uses SurrealDB to consolidate nine backend tools into one real-time monitoring platform.

Learn more

WHY SURREALDB

Why gaming companies choose SurrealDB

Real-time analytics built in

Analyse player behaviour, game events, and engagement data in real time. Track triggers, power heatmaps, and detect anomalies live.

Embedded AI in game engine loop

Vector search and knowledge graphs return structured intelligence at sub-millisecond speed, adapting gameplay while the player interacts.

Historical auditing with SurrealKV

State rollbacks after exploits, historical replays for esports, and regulatory compliance for real-money games.

Flexibility for any game data

Document storage, graph queries, vector search, and time-series analysis in a single engine.

No sharding complexity

Support millions of concurrent users, events, and interactions with horizontal scaling that requires no manual sharding.

GET STARTED

Start building with SurrealDB

The multi-model database for AI agents. Unify data. Unlock intelligence. Scale anywhere.