01
DataHubs
Configure and monitor industrial and enterprise source connections through a common connectivity layer.
Industrial Operational Data Platform
ProcessData.IO
Securely acquire, contextualize, calculate, store, visualize, and distribute industrial data through one operational platform—from plant-floor sources to engineering, dashboards, enterprise systems, and cloud analytics.
One Industrial Data Workflow
From DataHubs To Decisions
ProcessData.IO brings industrial connectivity, data acquisition, engineering context, calculations, visualization, continuous monitoring, historical analytics, security, diagnostics, and downstream data delivery together in one operational data platform.
It supports edge, on-premise, hybrid, and cloud deployments, with resilient operational data storage across local and cloud environments and secure-by-design access for users, applications, real-time services, and analytics workflows.
Sources→DataHubs→DataStreams→Context + Calculations→Dashboards / ODS→Continuous Monitoring→Analytics
Platform Capabilities
Industrial Data Operations In One System
The platform spans source connectivity, acquisition, engineering calculations, asset context, continuous DataStream monitoring, historical analysis, visualization, administration, diagnostics, and external data distribution.
DataHub Connectivity
Connect Heterogeneous Plant And Enterprise Data
DataHubs separate source-system connection configuration from individual DataStreams, so many process tags can share a managed source connection.
OPC & Interoperability
OPC® DAOPC® HDAOPC® UAOPC® UA HAWeb API JSONWeb API XML
Industrial PLC & Automation Protocols
BACnet®Beckhoff® ADSEtherNet/IP™Modbus® TCPMELSEC®OMRON® FINSSiemens® SIMATIC S7®SRTPEGD
Industrial Historians & Data Platforms
AVEVA™ PI System™ AF SDKAVEVA™ PI System™ SDKAVEVA™ PI System™ ODBCAVEVA™ PI System™ Web APIAspenTech® InfoPlus.21® (IP.21) ODBCAspenTech® InfoPlus.21® Web APIAVEVA™ eDNA APIAVEVA™ eDNA ODBCHoneywell® PHD SDKHoneywell Forge® REST APIGE® Proficy® C APIGE® Proficy® OLE DBGE® Proficy® REST APIABB Ability™ Symphony® Plus (S+) ODBCABB Ability™ REST APIWonderware® (WW) Historian ODBCYokogawa® Sushi Sensor
IoT & Messaging Protocols
AMQPCoAPMQTT
Database Connectivity
Database access technologies supporting Microsoft® SQL Server®, Oracle®, PostgreSQL®, and MySQL®.
ODBCOLE DBADO DBEFDB
Enterprise, Files & External Data
SAP® ODataMicrosoft® Excel®WeatherCSV / TSV
See It In Action
Explore The Platform
One interactive tour of ProcessData.IO — from connectivity and calculations to dashboards, the operational data store, and security. Pick an area, then browse its screens.
Configure and monitor DataHub source connections and reliability across the plant.
DataHub Management
Operational Monitoring
Monitor DataHub Reliability, Incidents, And Notifications
ProcessData.IO extends DataHub connectivity with operational health visibility, incident workflows, and delivery-channel diagnostics so teams can detect issues and respond quickly.
DataHub Health
Track availability, reconnect activity, uptime, downtime, failure rate, operations count, and recent connector events across all configured DataHubs.
Alerts & Incidents
Configure health rules, review incidents, filter by severity and DataHub, acknowledge events, and keep operators informed when abnormal conditions are detected.
Notifications & Delivery
Manage delivery channels, escalation policies, queue diagnostics, and in-app events for email, webhook, and operational notification workflows.
Acquisition & Persistence
DataStreams With Resilient Scheduling And Operational History
DataStreams are the common process-data layer used by calculations, charts, dashboards, ODS synchronization, and analytics.
- Create, edit, enable, disable, map, and monitor DataStreams
- Configure engineering units, data type, polling, and scheduling
- Track current value, history, data quality, and execution status
- Run interval, daily, weekly, and monthly schedules
- Use parallel execution groups with duplicate-run safeguards
- Maintain resilient operational history and configuration across local storage and synchronized cloud or enterprise destinations
- Enter Local DataStreams for manual measurements, lab results, and operating assumptions, with Source Time and Executed Time assigned automatically on save
Engineering Context
Calculate, Contextualize, And Reuse
Calculation Engine
Build formula-based calculated DataStreams using NCalc, input references, dependency handling, schedules, and persisted calculated history.
ProCalc Templates
Build user-configurable engineering methodologies as reusable templates with any required inputs, constants, formulas, and multiple named results. Create calculation instances by mapping template inputs to DataStreams or constants, then schedule and persist the resulting output DataStreams.
Asset Modeling
Define reusable Asset Masters and instances, build hierarchy, associate DataStreams, and add operational context for equipment analytics and digital-twin workflows.
Operational Data Store
Move Plant Data Into Enterprise And Cloud Analytical Stores
ODS synchronization runs as backend jobs with batching, scheduling, destination-specific writers, failure handling, health, and last-sync state.
On-Premise / RelationalMicrosoft® SQL Server® · Oracle® · MySQL® · PostgreSQL®
Microsoft Azure®Azure® Data Explorer · Azure® SQL
Amazon Web Services®AWS® Timestream · AWS® RDS (SQL Server®, Oracle®, MySQL®, PostgreSQL®)
Google Cloud™BigQuery® · Bigtable® · Google Cloud Storage
Destination configuration supports enable/disable, credentials, TLS/SSL options, batching, maximum batches per run, synchronization interval, checkpoints, destination health, and destination-specific settings.
Visualization
Persistent Operational Views For Engineers And Operators
Charts and dashboards are backed by ProcessDataService APIs so configuration can survive browser restart, UI restart, cache cleanup, and reconnection.
Dashboards
Create multiple dashboards and tabs with persistent widget layout and configuration.
Live Data
View current DataStream values, engineering units, quality, and status through compact operational interfaces.
Charts & Trends
Query multiple DataStreams, history, groups, and time ranges with configurable refresh from approximately 5 to 600 seconds.
JupyterLab®
Check analytics-environment status and provide controlled access to notebook-based engineering and data-science workflows.
Lens · Historical Data Analysis
Explore, Clean, Compare, And Investigate Process Data
Lens provides an interactive engineering workbench for exploring historical DataStreams, preparing analysis-ready working data, isolating operating periods, discovering relationships, and finding recurring behavior while preserving the original historian samples.
Live, Cut-Off & Imported Data
Work with a rolling historian window, freeze analysis at a selected historical cut-off, or import Lens Work, JSON, and CSV datasets for offline investigation.
Trend & Working Data
Compare raw and working views, exclude individual points or selected areas, undo exclusions, and restore samples without modifying the underlying historian data.
Clean Data & Quality
Prepare working datasets with moving-average, EMA, or median smoothing, Hampel outlier suppression, and dedicated data-quality review.
Relationships & Formulae
Investigate relationships between selected process signals and create formula-based derived analysis variables for engineering exploration.
Conditions, Capsules & Compare
Define operating conditions, group matching periods into capsules, review them in tabular form, and compare selected operating periods or process behavior.
Pattern Search & Portable Work
Search historical data for similar patterns, save Lens configuration, and export or re-import Lens Work with raw data so investigations can be reproduced and shared.
Continuous Monitoring · DataStream Watch
Keep Watching Critical DataStreams Even When The Browser Is Closed
DataStream Watch continuously evaluates selected DataStreams on the server. Monitoring, alert evaluation, and incident handling continue independently of dashboards, Lens, and browser sessions so abnormal operating conditions are not dependent on an open user interface.
Value Window
Alert when a DataStream falls below a configured low limit or rises above a high limit, with hysteresis and sustain behavior to reduce nuisance state changes.
Change & Rate Monitoring
Detect absolute change, percentage change, or excessive rate of change against the accepted signal baseline and incoming samples.
No Data & Flatline Detection
Detect stale DataStreams when no new sample arrives within the configured period, or identify signals that remain inside a small tolerance band for too long.
Active Alerts & Acknowledgement
Review active incidents by severity, DataStream, rule, trigger value, operating window, and opening time, then acknowledge alerts while the condition remains under observation.
History & Recovery
Retain triggered, acknowledged, and recovered incidents for operational review, including recovery state and configurable notification on recovery.
Notifications & Lens Handoff
Track unread notifications and move directly from an active or historical DataStream alert into Lens for deeper historical investigation of the affected signal.
Watch rules support Information, Warning, High, and Critical severity levels together with configurable trigger delay, hysteresis, cooldown, enable/disable state, and recovery notification behavior.
Dashboards & Widgets
Flexible Canvas For Operational And Engineering Views
- Create multiple dashboards and dashboard tabs
- Add, drag, resize, and rearrange widgets on a flexible operational canvas
- Use trend, KPI, table, gauge, speedometer, pie, doughnut, and process-indicator widgets
- Use a consistent dashboard toolbar with balanced, equal-sized action controls
- Configure DataStreams, time period, refresh interval, units, title, size, and position
- Add new widgets even when the nominal grid is full, then drag or resize them as space is created
- Hide management controls on operational dashboards when appropriate
Process Canvas
Turn Process Flows Into Live Operational Views
An interactive workspace for creating process and equipment diagrams and bringing them to life with real-time operational data.
Build plant views using equipment symbols, vessels, columns, pumps, compressors, valves, instruments, connected piping, dynamic values, and level indicators. Bind operational DataStreams directly to dynamic objects and equipment status so the same diagram moves naturally from engineering representation to live operational awareness. Multiple process views can live within a single canvas, so large plants or process areas stay organized into logical sections while remaining part of one operational workspace.
Design the process. Connect the data. See the operation.
Interactive Process Diagrams
Create PFD-style operational views using reusable equipment and instrumentation symbols.
Live DataStream Binding
Display current values, levels, measurements, and equipment operating states directly on the process view.
Equipment Status Visualization
Show running, stopped, open, closed, and transition states using clear operational indications.
Connected Process Piping
Create and edit orthogonal pipe routes with bends, flow direction, equipment connection points, and automatic connection handling.
Design & Live Modes
Engineer the diagram in Design mode and use a clean operational presentation in Live mode.
Multi-Tab Process Views
Organize complex units, areas, or systems into multiple pages within a single Process Canvas.
Flexible Canvas Presentation
Configure canvas dimensions, background appearance, grid spacing, grid visibility, and grid styling.
Operational Output
Print clean process views for reviews, discussions, operating documentation, and field use.
Process Canvas Answers
What is happening in the process and where?
Dashboards Answer
How is the operation performing?
Process Canvas and Dashboards serve complementary purposes — together they provide both the operational process view and the performance and analytical view of plant data.
Secure By Design
Enterprise Access And Protected Data In Motion
From user sign-in to live industrial data, every browser-facing path runs through encrypted, authenticated, and isolated connections.
01
Six Identity Providers
Runtime provider discovery from ProcessDataService supports local, directory, OpenID Connect, and SAML-based enterprise authentication.
Local administratorPasswordLDAP / Active Directory®LDAPMicrosoft® Entra IDOpenID ConnectGoogle® WorkspaceOpenID ConnectKeycloakOpenID ConnectEnterprise SAML SSOSAML 2.0
02
Three Application Roles
Administrator for full system access, Engineer for technical configuration, and Operator for primarily read-only operational visualization.
03
User & Session Administration
Import or manage users, assign roles, protect the built-in administrator, inspect active sessions, revoke sessions, and close server-side sessions during logout.
04
Role-Sensitive Navigation & Authorization
Frontend menus adapt to the signed-in role while ProcessDataService enforces access at the API layer.
05
Secure Transport & Isolation
HTTPS/TLS protects browser and API traffic, LDAPS secures directory authentication, and authenticated WSS protects live-data streaming. JupyterLab is reached only through the same authenticated HTTPS gateway, backed by a token-protected, loopback-isolated notebook service — internal endpoints are never exposed directly to the browser.
Health & Diagnostics
Visibility Into The Platform Behind The Dashboards
Service Health
ProcessDataService availability, runtime state, and logging.
Data Acquisition & Watch
DataHub health, DataStream execution state, quality, last communication, and continuous DataStream Watch alert state.
Scheduler
Scheduling state, execution monitoring, duplicate protection, and stale-run cleanup.
ODS
Destination health, job state, synchronization status, and failure diagnostics.
Database & Auth
Operational database state, authentication state, sessions, and administration diagnostics.
Analytics Environment
Lens historical-data analysis plus Jupyter® status, controlled launch / access, and shutdown controls where enabled.
Operational health, incident handling, and notification workflows complement the core connectivity, acquisition, dashboard, and ODS capabilities across ProcessData.IO.
Deployment Architecture
Built For Edge, Plant, Hybrid, And Cloud Operation
Operational core: Connectivity, acquisition, scheduling, calculations, asset context, authentication, diagnostics, visualization, and downstream delivery operate as one coordinated platform.
Operational storage: Current and historical plant information can be maintained locally and synchronized to enterprise and cloud operational data stores.
Secure communications: HTTPS/TLS-ready deployment protects browser and API traffic, with secure WebSocket communication and controlled analytics access.
Integration: API-oriented services expose authentication, DataHubs, DataStreams, DataStream Watch, alerts and notifications, history, calculations, ProCalc templates and instances, assets, charts, dashboards, ODS, analytics access, diagnostics, and health.
Deployment: Supports edge, on-premise, hybrid, and cloud-oriented topologies without tying the operating model to a single infrastructure pattern.
ProcessData.IO
Build One Governed Path From Industrial Data To Operational Intelligence
Use ProcessData.IO as a secure industrial data collector, local and cloud operational data layer, configurable engineering calculation platform, contextual asset layer, continuous DataStream monitoring and alerting environment, Lens analysis workbench, visualization environment, and gateway to enterprise or cloud analytics.
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