The Real-Time Data Platform for Mission-Critical Applications
Diffusion is a high-performance real-time data platform that handles low-latency streaming and secure distribution, purpose-built for enterprises delivering real-time experiences at internet scale.
How Diffusion Works
Diffusion sits between your backend data sources and client applications, acting as a real-time gateway. It ingests data from any source, transforms and optimizes it in-flight, then distributes only the necessary data to millions of connected endpoints.
Protocol adapters for multi-source ingestion
Hierarchical data model
Filter, enrich, aggregate
Auth & encryption
90% bandwidth savings
Intelligent routing & fan-out distribution
Architecture Components
Data Gateway
Ingest from Kafka, REST, MQTT, CDC, Redis, or custom sources. Handles protocol translation, connection pooling, and automatic reconnection.
Learn more →Topic Tree
Hierarchical data model, organizing millions of topics for fine-grained subscriptions, including wildcard patterns.
Learn more →Transform Engine
Low-code data enrichment, filtering, and aggregation without backend changes. Apply transformations at ingestion or before distribution.
Learn more →WebSocket Gateway
High-throughput message routing with intelligent queuing and conflation. Handles subscription management and reliable sessions.
Learn more →Delta Streaming
Patented protocol transmitting only changed bytes, reducing bandwidth by up to 90%. Automatically computes deltas, even on binary data.
Learn more →Security Layer
Authentication, authorization, and encryption at connection and topic level. Highly customisable authentication and authorization.
Learn more →Three Flexible Messaging Modes
Choose the right messaging pattern for each use case - all within a single platform.
Stream real-time data from publishers to subscribers with automatic fan-out. Ideal for market data feeds, live odds, and notification systems.
Native SDKs for Every Platform
First-class SDKs with consistent APIs across all major platforms. Connect using WebSockets, HTTP streaming, or MQTT.
JavaScript + TypeScript
Web & Node.js
Java
JDK 17+
.NET
C# / .NET Core
Python
3.8+
iOS
Swift
Android
Kotlin / Java
C
Embedded / IoT
Connect Your Entire Data Infrastructure
Diffusion's adapter framework integrates seamlessly with your existing systems.
Ingest data from enterprise message brokers, databases, and APIs—then distribute in real-time.
Confluent Kafka Adapter
Stream Confluent Cloud & Platform Data in Real-Time
Connect Diffusion directly to Confluent-managed Kafka clusters with Schema Registry integration, exactly-once semantics, and automatic topic mapping.
- Schema Registry integration (Avro/Protobuf/JSON Schema)
- Consumer group management for scalable ingestion
- Automatic reconnection and offset management
- Topic-to-topic mapping with transformation support
Excel Adapter
Real-Time Data in Microsoft Excel
Deliver streaming market data, odds feeds, and live metrics directly into Excel spreadsheets without leaving the familiar workflow.
- RTD (Real-Time Data) function support
- Bidirectional updates (read and write to topics)
- Automatic reconnection and state recovery
- Low-latency streaming to thousands of cells
Diffusion MCP Server
Model Context Protocol for AI/LLM Integration
Connect AI agents and large language models to real-time data streams using the Model Context Protocol (MCP) for agentic AI systems.
- MCP-compliant server implementation
- Tool and resource exposure for LLM agents
- Real-time context injection for AI workflows
- Secure, permissioned access to Diffusion topics
Enterprise-Grade Security
Defense-in-depth security for regulated industries:
- Authentication: Highly customisable authentication
- Authorization: Fine-grained, topic-level permissions with RBAC
- Encryption: TLS 1.3 for all connections
Deploy Anywhere
Run Diffusion where your data lives:
| Diffusion Cloud | Fully managed SaaS with global edge PoPs |
| On-Premise | Deploy in your data center with full control |
| Hybrid | Connect cloud and on-premise clusters |
| Kubernetes | Helm charts for container orchestration |
| Marketplaces | AWS, GCP one-click deployment |
Technical Specifications
Detailed performance benchmarks and capabilities.
Performance Benchmarks
| End-to-End Latency | < 5ms at p99 |
| Message Throughput | 1m+ updates egress per second, per server. 100m published updates/sec egress. |
| Concurrent Connections | Tested to 500K+ connections per deployment |
| Bandwidth Reduction | Up to 90% with delta streaming |
Scalability
| Horizontal Scaling | Linearly scale your client connections |
| Topic Capacity | Millions of topics per cluster |
| Geographic Distribution | Multi-region replication support |
| High Availability | Active-active clustering, automatic failover |
Start Building
Ready to Deliver Real-Time at Scale?
Start your free trial today - no credit card required. Or talk to our sales team about your specific requirements.