Transfer Without Delay, Disruption, Or Duplication
Traditional Extract-Transform-Load (ETL) pipelines were built for yesterday’s problems, not today's industrial demands.
When data is high-volume, time-sensitive, and scattered across legacy and modern systems, enterprises need a faster, leaner, and more adaptive cloud-to-enterprise solution. Matrikon Data Broker (MDB) eliminates heavy transformation pipelines and staging areas.
The Cost of Getting Data “Ready”
Before: Legacy Workflows Stall Innovation
As data grows and transformation accelerates, traditional three-step data transfer pipelines increase latency, complicate maintenance, and delay access to critical insights.
After: Real-Time Cloud Access Without the Overhead
Matrikon Data Broker’s reduced-ETL paradigm offers direct, point-to-point data access, from edge to historian, or enterprise system in usable form. Teams can immediately use data, reducing overhead and enhancing organizational flexibility.
Closing the Loop: Cloud Integration in the Unified OT Data Layer ( UODL)
Cloud and enterprise integration connects structured, contextualized OT data directly to cloud platforms and business systems. When operational data from each department is uploaded in real-time, value compounds across the organization. Each team’s individual progress translates quickly into enterprise-wide successes.
Real-Time Integration That Moves With You
Matrikon Data Broker helps eliminate the latency, complexity, and infrastructure sprawl that hinder insights, disrupt operations, and inflate digital costs.
Skip the ETL Pipeline
Matrikon Data Broker’s reduced ETL architecture minimizes the need for traditional pipelines and staging databases. With schema-on-read flexibility and direct streaming via MQTT or REST (coming in 2026), you bypass brittle middleware and slow batch jobs. MDB delivers data as-is, ensuring faster analytics, cleaner architecture, and lower hidden costs.
From Plant Floor to Cloud
Matrikon supports direct, immediate delivery of OT data to AWS, Azure, GCP, leading historians, and SQL/NoSQL platforms — creating a unified pipeline from sensor to system and providing enterprise teams real-time access to OT data without disrupting environments. With direct connectors and native cloud compatibility, data moves securely and continuously from the edge to the enterprise.
Accelerate AI and ML Initiatives
Using MQTT and soon REST, MDB streams real-time telemetry directly into analytics platforms and AI workflows without duplication, replication, or reformatting. High-speed data delivery supports smarter forecasting, faster anomaly detection, and robust enterprise-wide decision-making.
Simplify and Save
Eliminating middleware brokers and staging layers, Matrikon Data Broker compresses the path from data to decisions. You can move forward with lower integration costs, easier change management, and a leaner architecture that scales as your business grows.
Connected Systems, No Rework
Matrikon Data Broker’s plug-and-play support for both legacy and modern sources means you don’t have to start from scratch to modernize. Whether you’re integrating a decades-old DCS or a new cloud-based twin, MDB delivers consistent access and context that enables transformation without disruption. You’ll protect existing assets while unlocking new data across your organization.
Stream Directly to the Cloud
Secure, Real-Time Delivery
Analytics Without the Lag
Fast, Seamless Integration
Legacy-Compatible by Design
Skip the ETL Pipeline
Matrikon Data Broker’s reduced ETL architecture minimizes the need for traditional pipelines and staging databases. With schema-on-read flexibility and direct streaming via MQTT or REST (coming in 2026), you bypass brittle middleware and slow batch jobs. MDB delivers data as-is, ensuring faster analytics, cleaner architecture, and lower hidden costs.
From Plant Floor to Cloud
Matrikon supports direct, immediate delivery of OT data to AWS, Azure, GCP, leading historians, and SQL/NoSQL platforms — creating a unified pipeline from sensor to system and providing enterprise teams real-time access to OT data without disrupting environments. With direct connectors and native cloud compatibility, data moves securely and continuously from the edge to the enterprise.
Accelerate AI and ML Initiatives
Using MQTT and soon REST, MDB streams real-time telemetry directly into analytics platforms and AI workflows without duplication, replication, or reformatting. High-speed data delivery supports smarter forecasting, faster anomaly detection, and robust enterprise-wide decision-making.
Simplify and Save
Eliminating middleware brokers and staging layers, Matrikon Data Broker compresses the path from data to decisions. You can move forward with lower integration costs, easier change management, and a leaner architecture that scales as your business grows.
Connected Systems, No Rework
Matrikon Data Broker’s plug-and-play support for both legacy and modern sources means you don’t have to start from scratch to modernize. Whether you’re integrating a decades-old DCS or a new cloud-based twin, MDB delivers consistent access and context that enables transformation without disruption. You’ll protect existing assets while unlocking new data across your organization.
Built for Simplicity. Engineered for Growth.
Matrikon helps enterprises move data faster, integrate without friction, and unlock insight across the value chain.
How It Works: Direct Data, Delivered at Scale
Every connection point is designed to reduce friction, accelerate delivery, and support real-time outcomes at scale.
MQTT Streaming
Lightweight, efficient OT data transfer to edge/cloud brokers.
REST API Access
Enable enterprise apps to pull data directly without specialized interfaces (Early 2026)
Multi-Cloud Ready
Supports native integration with AWS, Azure, GCP, and more via secure outbound connections.
Scheme-on-Read Architecture
Let data flow as-is and apply context where it counts—no preprocessing required.
Direct Historian & DB Connectors
Deliver high-volume data into PI, SQL, and NoSQL systems with no format gymnastics
Streaming Analytics Support
Immediate data streaming into ML and AI platforms using open standards.
Integration in Action: Automotive Industry Example
Launching real-time defect analytics typically requires extensive ETL and staging setups. MDB’s reduced ETL solution streams sensor data directly from production lines to cloud analytics platforms, significantly reducing rollout timelines and accelerating value realization.
Faster Defect Analytics Rollout
Real-Time Sensor Streaming
Instant Production Line Visibility
Quicker Quality Insights
Unlock the Full Potential of Your OT Data
Put your operational data to work securely, strategically, and at scale.