Challenges of OT Data Integration
Key obstacles enterprises face when integrating Operational Technology (OT) data
Complex protocols and inconsistent device specifications
Multiple device brands and protocols result in non-standard communication, requiring custom integration and increasing implementation cost and effort.
Difficulties in data processing and cleansing
OT raw data is often unstructured, making it hard to clean, parse, validate, and analyze using traditional ETL tools.
Application development is hard to implement
Even with completed system planning, the lack of developer-friendly tools leads to costly and time-consuming deployment.
Lack of manpower and budget
With limited OT/IT teams, enterprises struggle to build dedicated teams for integration, delaying digital strategies.
Why OT Data Matters
Use OT operational data to improve productivity and decision-making quality
Reflects Real-Time Field Conditions
OT data reflects real machine status and faults for timely and accurate decisions.
Complements Missing IT Data
Bridges gaps in ERP/MES systems by capturing data not visible to IT.
Critical Source for AI Models
Provides the raw data AI models need for training and accurate inference.
Breaks Down OT/IT Communication Silos
Makes OT data more accessible for IT use, eliminating manual data conversion.
How NeoEdge OT Data ETL Works
A purpose-built ETL solution for IIoT, from data extraction to application deployment—meeting all your OT data needs
EXTRACT
Extract data from various industrial protocols and equipment monitoring systems.
TRANSFORM
Convert data formats, unify units, clean and filter data for analysis and integration.
LOAD
Deliver the processed data to designated IT systems (cloud or on-prem) based on usage requirements.
Real-Time Extraction Across Protocols
ExtractSeamlessly collect and unify data from diverse industrial equipment.
- Supports Modbus, OPC UA, Melsec, BACnet, and more
- No need for custom data collectors—speed up integration and deployment
- Import standard CSV files and configure historical data capture with ease
No-Code OT Data Processing
TransformQuickly build OT data flows using the built-in No-Code GUI engine NeoFlow
- No programming required—drag and drop nodes to build extraction, processing, and output flows
- Built-in computing modules support logic, classification, conversion, etc.
- Support for bulk deployment to multiple edge nodes ensures consistent rollouts
Supports Integration with Various IT Systems
LoadFlexibly deliver processed data to different IT targets
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Data can be delivered to:
- Cloud platforms (AWS, Azure, GCP…)
- Private databases (PostgreSQL, InfluxDB, MSSQL, etc.)
- Local MES / SCADA systems
- Each data stream can be customized with rules for routing, encryption, and storage
Suitable for All Deployment Scales
ScalabilityFrom single device to entire plant—scalable to meet deployment needs
- Consistent data flow setup from one to hundreds of machines
- One-click ETL model deployment across edge nodes ensures unified operations
- Modular design supports future maintenance and feature upgrades