Real-time data streaming
Confluent
Real-time data streaming and event-driven architecture so data moves reliably through the business.
- Events Publish and subscribe
- Govern Topics, connectors and data contracts
- Consume Real-time apps, analytics and AI
Scenarios and capabilities
Fitting scenarios
- Point-to-point integration between systems is complex and hard to keep in sync
- Orders, inventory and other changes must propagate in real time
- AI and analytics need continuously updated business signals
Key capabilities
- Event stream publish and subscribe model
- Governance of topics, connectors and data contracts
- Shared consumption by real-time apps, analytics and AI
- Operable throughput, latency and change
How BSG delivers
BSG starts from scenarios and event boundaries, then handles streaming platform selection, topic and connector design, integration with DBScale, storage and security, and the handover to production operations.
Layer Stream governance layer Reliable event streams for the data factory and upper scenarios.
Related solutions and services
- Solution AI infrastructure solution Layers and responsibilities across products View
- Operations Open source operations Mostly remote; on-site support for major changes and incidents. View
- AI AI services Readiness review, scenario delivery, data infrastructure, secrets governance and platform care. View