Grafana
Strong in metrics, logs and traces, with alerting, on-call and incident response.

PiriVision creates the decision layer between your operational data and the people who act on it.
Data pipelines move information. PiriVision moves the operation forward.
CONTEXT · INTELLIGENCE · VISUALIZATION · MEMORY
READ ARTICLE →No rip-and-replace. Connect live and historical sources, then give every team one operational context.
Kaptan lives inside your operation. It sees connected systems, dashboards, alarms, conversations and actions in one shared context.
Turn insight into owned action, clear follow-up and measurable operational impact.
A critical vibration alarm has just arrived. Open the signal and identify what needs attention.
Kaptan follows the live signal, connects historical context and coordinates the next action—without leaving the operation.
✓ KPI returned to normal
2.3 hours of unplanned downtime avoided
Follow one torque failure from the WP6 signal to maintenance, supply chain and sales—without losing the operational context.
Kaptan detected an abnormal NOK spike at WP6 and initiated a maintenance action.
Technical users can go deep. Everyone else can simply describe what they need.
“Rank the stations creating the highest financial loss this shift and open the top hotspot.”
SELECT station_id,
SUM(scrap_cost + downtime_cost) AS financial_loss
FROM production_events
WHERE shift_id = CURRENT_SHIFT()
GROUP BY station_id
ORDER BY financial_loss DESC LIMIT 5;Packaging Line 02 · Live simulation
This table does not ask “which is better?” It shows the job each product is naturally designed to solve. Capabilities can vary by license, edition and configuration.
Strong in metrics, logs and traces, with alerting, on-call and incident response.
Strong in semantic models, enterprise reporting, self-service analytics and the Microsoft ecosystem.
Focused on moving an industrial signal through context, decision, owned action and measured impact.
Observe technical systems
Analyze and report business data
Complete operational decisions
Grafana OSS/Enterprise self-hosted or managed Grafana Cloud
Power BI Service is cloud; Report Server can run on-prem or Azure VM, without feature parity
Runs fully local/on-prem, in a private cloud or managed cloud
Assistant can appear in self-hosted Grafana, but requires a Grafana Cloud backend and Grafana selects the provider
Copilot requires paid Fabric/Premium cloud capacity in a supported region; no local-model option is documented
Kaptan AI can run fully inside with local open-source models or use cloud model providers
Core Grafana can stay internal; Assistant requests route to Grafana Cloud when used
Report Server can stay internal; cloud Copilot and Service features are not local in this model
Platform and Kaptan can be deployed with a local model without sending data to an external AI service
Native and strong
Native and strong
Native; part of the decision flow
Core strength; advanced alerting
Available; refresh/Activator and setup matter
Handled with industrial context
Assistant and investigations available
Copilot for summaries and data questions
Kaptan focuses on operational context and next action
Incidents, on-call and escalation with Grafana Cloud IRM
Visual comments, @mentions and Teams integration
Data, conversation and action in one operational record
IRM incident tasks/roles; primarily SRE-oriented
Through ecosystem tools such as Power Automate, Teams or Planner
Native owner, priority and due time within the decision
Configured through data sources and modeling
Configured through semantic models and report design
Machine, line, alarm, shift, task and impact share one context
Detect–Respond–Learn, especially for incident response
Can be assembled with ecosystem automation
Insight → decision → action → owner → outcome is the core flow
Grafana is mature in observability and Power BI in enterprise analytics. PiriVision is not claiming to replace either in every use case; it is designed to close the gap between seeing industrial data and owning a decision through measurable impact.
From operator to executive, everyone sees the same context through their own responsibility and decision scope.
Clear instruction, machine context and verifiable completion instead of alert noise.
The same data becomes a decision surface relevant to the role.