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Data Streaming for Gaming
Power real-time game events, player analytics, and live operations with lakehouse-native Kafka and Pulsar — elastic scale for millions
Trusted for mission-critical data and AI
• SOLUTIONS
Streaming Solutions for Gaming
From real-time leaderboards to player analytics and live ops, StreamNative provides the event streaming infrastructure modern games demand.
Elastic Scale for Launch Day & Beyond
Auto-scale to millions of concurrent players without pre-provisioning. Absorb launch-day traffic spikes and scale back down when volume normalizes.
Sub-Millisecond Game Messaging
Pulsar delivers ultra-low-latency messaging for leaderboards, matchmaking, and in-game chat — powering real-time game features players notice.
Global Multi-Region Deployment
Universal Linking provides geo-replication across AWS, Google Cloud, and Azure. Put streaming infrastructure close to your players for the lowest latency.
Infinite Event Replay for Detection & Analytics
Object storage retention keeps months or years of game telemetry at a fraction of traditional Kafka costs — for cheat detection, analytics, and model training.
• USE CASES
What Gaming Teams Build on StreamNative
Real-Time Leaderboards & Matchmaking
Stream player score events and compute leaderboards in real time. Process skill ratings and queue events for fast, fair matchmaking. Deliver globally consistent rankings across millions of players without polling or batch recalculation.
In-Game Economy & Transaction Processing
Handle virtual currency transactions, marketplace trades, loot drops, and battle pass progression with exactly-once stream processing. Maintain consistent economic state across distributed game services — no double-spending, no lost items.
Anti-Cheat & Player Behavior Analytics
Stream gameplay telemetry to ML models for real-time cheat detection, bot identification, and toxicity scoring. Feed insights back to game services for immediate enforcement. Retain event logs for ban appeals and audit.
Live Ops, A/B testing & Dynamic Content
Stream player segment and behavior events to power real-time A/B testing, dynamic content delivery, and personalized offers. React to player behavior during the session — not on the next scheduled batch run.
• EXPLORE SOLUTIONS
Streaming Solutions for Gaming
From real-time leaderboards to player analytics and live ops, StreamNative provides the event streaming infrastructure modern games demand.
Streaming Lakehouse
Land game telemetry, player events, and economy transactions directly into Iceberg and Delta tables. Power real-time player behavior dashboards, cheat detection models, and game balance analytics without ETL bottlenecks.
Stream in-game events directly into your analytics lakehouse
Power live player segmentation and behavior analysis
Streaming Data Pipeline
Build real-time data pipelines between game servers, analytics platforms, and player-facing services. Stream player events, session data, and economy transactions from game clients to analytics — eliminating batch delays that make insights stale.
Handle massive multiplayer event volumes with elastic scaling
Real-time leaderboards, matchmaking, and player analytics
Event-Driven Architecture
Decouple game services with durable event streams. Let matchmaking, inventory, social, chat, and analytics services scale independently. Pulsar's queue semantics handle leaderboard updates and matchmaking queues; Kafka handles high-volume telemetry fan-out.
Sub-millisecond event delivery for live game state synchronization
Elastic scaling for launch-day traffic spikes
AI & Agentic
Deploy AI agents for real-time cheat detection, dynamic difficulty adjustment, toxicity moderation, and automated live ops decisions — with full observability and audit trails on every agent action.
Real-time player behavior context for AI-powered personalization
Governed agent actions for in-game economy management
Why Industry Leaders Choose StreamNative
Hear from industry leaders who rely on StreamNative to power their mission-critical data streaming infrastructure.
• SUCCESS STORIES
Proven in Production
FAQs
Yes. Ursa's elastic architecture handles the sudden player surges that come with marketing campaigns, streamer events, and viral moments — scaling to millions of concurrent players without pre-provisioning. After the launch window, capacity scales back down automatically so you stop paying for peak infrastructure the moment traffic normalizes.
Pulsar delivers sub-millisecond publish latency for game messaging on latency-optimized clusters. Kafka (via Ursa engine) provides high-throughput, low-latency streaming for telemetry and analytics. Together, they support both latency-sensitive game features and high-volume data processing.
Self-managed Kafka means hiring DevOps to capacity-plan for a launch window that lasts weeks, then maintaining over-provisioned clusters long after traffic normalizes. StreamNative handles elastic scaling and multi-region deployment out of the box — zero app rewrites, fully managed operations — so your engineering team stays focused on the game, not the infrastructure.
Yes. Use Pulsar for low-latency game events (matchmaking, leaderboards, in-game messaging) and Ursa For Kafka for high-throughput analytics (telemetry, player behavior). Both run on the same Ursa engine and share the same data, with stream-table duality providing direct lakehouse integration for analytics.
Yes. Deploy across AWS, Google Cloud, and Azure in any region. Universal Linking mirrors topics across clusters for geo-replication. Put your streaming infrastructure close to your players for the lowest latency.
Start building real-time gaming infrastructure
- Stream billions of game events per day with elastic, serverless scaling.
- Power leaderboards, matchmaking, and live ops with sub-millisecond latency.
- Land player telemetry directly in your lakehouse for real-time analytics.