Real-Time Data Delivery at Internet Scale: Without the Infrastructure Headaches

Diffusion handles the hard parts of real-time: backpressure, bandwidth optimization, Kafka integration, and scaling to millions of connections - so you can focus on your product innovation.

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5ms p99 Latency
90% Bandwidth Reduction
100M Published Updates/sec Capacity

Who Are You?

Choose Your Path

Explore how Diffusion solves your specific challenges

For Engineers & Architects

Solve the Hard Problems of Real-Time at Scale

Building real-time systems at scale means wrestling with WebSocket backpressure, message ordering, Kafka-to-edge distribution, and operational complexity. Diffusion was purpose-built to solve these problems - so you don't have to build custom middleware.

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WebSocket Backpressure & Memory Exhaustion

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Unbounded buffers cause OOM crashes and stale data; a single slow client destabilizes your entire server
check_circle With Diffusion
Built-in backpressure with automatic throttling, conflation, and per-session buffering keeps systems stable under load
100M updates/sec @ 5ms p99
In-order delivery without loss, with intelligent conflation
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Client-Side Filtering & Bandwidth Bloat

cancel Without Diffusion
Pub/sub firehose sends everything; clients filter 90% waste, wasting bandwidth and increasing security exposure
check_circle With Diffusion
Server-side filtering, with per-session topic subscription and delta compression, sends only entitled data per client
Up to 90% bandwidth reduction
Real customer: 16TB → 2.5TB/month, saving $1,200/month
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Kafka-to-WebSocket Integration Complexity

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Kafka lacks WebSocket support; custom microservices needed; no streaming to clients; scaling brokers for connections wastes resources
check_circle With Diffusion
Native Kafka adapter with topic mapping, protocol translation, and fan-out—zero custom microservices needed
14B msgs/month
Customer-proven Diffusion-Kafka integration in production
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Message Ordering & Consistency in Fan-out

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Message ordering differs in distributed systems; parallel processing performance trade-offs lead to inconsistent state
check_circle With Diffusion
Strict message ordering per topic with built-in caching, and cluster-synchronized state
100K topics @ 100M msgs/sec
Strict ordering maintained across all topics in benchmark tests
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Session Management

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Without sharing session state, load balancing cannot benefit from sticky sessions; failover to another server requires sessions to be restarted.
check_circle With Diffusion
Automatic session replication, fanout readiness checks and load balancers with sticky sessions ensure seamless recoverability.
500K clients @ 100M updates/sec
Linear scaling to millions of concurrent connections proven
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Cascading Failures from Slow Clients

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Unmanaged backpressure fills buffers, drains resources for all users; creates chain reaction failures
check_circle With Diffusion
Intelligent backpressure isolates slow clients with per-session queues and auto-disconnect policies
Per-Session Isolation
Single-client failures never cascade to other users
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Manual QoS for Heterogeneous Clients

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Mobile, web, IoT clients have different capacities; manual throttling increases complexity exponentially
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Topic views and conflation policies let you define QoS per topic/client declaratively—no custom code
Declarative Policies
No custom throttling code for mobile, web, IoT client diversity
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Cold Start Latency & Last-Value Gaps

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New clients need to fetch current data before subscribing, increasing latency
check_circle With Diffusion
Latest-value cache delivers current state immediately before streaming deltas—zero cold-start delay
Instant State Delivery
New subscribers receive current state before delta streaming begins

speed Proven Performance at Scale

100M
Updates per second
5ms
p99 Latency
500K+
Concurrent clients proven
article Read the Benchmark Results

For Executives & Product Leaders

Real-Time Infrastructure That Delivers ROI

Your real-time infrastructure directly impacts revenue, customer experience, and operational costs. Diffusion helps enterprises reduce cloud spend by up to 90%, eliminate peak-demand outages, and get to market faster - with proven results.

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Reduce Infrastructure Costs

Delta streaming sends only changed data, cutting bandwidth and cloud egress costs by up to 90%

$14,400/year
Saved by real customer (single use case)
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Accelerate Time-to-Market

Native Kafka, REST, and CDC & other adapters eliminate weeks of custom middleware development

Weeks → Days
For new real-time feature deployment
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Eliminate Peak-Event Risk

Zero-downtime architecture with intelligent backpressure prevents crashes during critical moments

100M/sec
Updates handled without service degradation

Why Diffusion Delivers Superior ROI

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90% Lower Bandwidth Costs

Delta streaming sends only what changed, not full payloads every time

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No Custom Middleware Required

Native adapters for Kafka, REST, MQTT eliminate integration development costs

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Predictable Scaling Costs

Linear scaling means no surprise re-architecture expenses as you grow

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Deploy Where Compliance Requires

Unlike cloud-only competitors, run on-premise or in your cloud with identical APIs

85%
Bandwidth Reduction Achieved
Real customer result: 16TB → 2.5TB per month
$1,200/month in direct savings

Build vs. Buy: The Real Cost

Why building real-time infrastructure in-house rarely makes sense

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Build In-House

  • remove_circle_outline 6-12 month development cycle to reach production
  • remove_circle_outline Ongoing maintenance and scaling burden on your team
  • remove_circle_outline Unknown performance limits until you hit them
  • remove_circle_outline No built-in bandwidth optimization
  • remove_circle_outline Engineering opportunity cost vs. core product work
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Use Diffusion

  • check_circle_outline Deploy in days, not months
  • check_circle_outline Managed infrastructure with expert support
  • check_circle_outline Proven to 100M updates/sec
  • check_circle_outline Up to 90% bandwidth reduction built-in
  • check_circle_outline Free your engineers to build differentiating features

Since plugging in Diffusion, sometimes we see prices update faster than the operator's site, which is incredible. For our users, that creates the confidence and trust that they're getting the best available information.

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Derren Maggs

Managing Director, Oddschecker

Industry Solutions

Purpose-Built for High-Stakes Real-Time

Trusted by industry leaders where milliseconds matter and downtime is not an option

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iGaming & Sports Betting

Live odds, in-play betting, sportsbook data delivery at sub-5ms latency for millions of concurrent bettors

Trusted by Caesars, William Hill, Betsson
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Financial Services

Millisecond-latency market data and event feeds, delivered at scale across trading, wealth and digital channels

Trusted by Tier 1 Exchanges, Lloyds Bank, Consorsbank, Finanzen
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Transportation & Logistics

Fleet tracking, logistics coordination, and real-time operational visibility at global scale

Real-time delivery at enterprise scale

Ready to Solve Real-Time at Scale?

Whether you're evaluating technology or ready to deploy, we're here to help you succeed.

Try Diffusion Cloud

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