- Powerful time series analytics for process engineers
- Connects to many industrial historians and sources
- Encourages collaboration across reliability and process teams
Best for
Process engineers using historian data
Pricing
Custom
SoftFinders Score
8.7 / 10
Overview
What is Seeq Analytics?
Seeq Analytics is a Self service analytics for process data.
It helps industrial operations and analytics teams handle repeated work with a clearer process, so the tool is easier to judge even for non-technical buyers. Instead of looking only at feature lists, focus on whether it improves the everyday tasks your team already repeats: planning work, creating outputs, reviewing quality, and keeping information organized. For most teams, the right test is simple: try it with real workflows, real data, and real team expectations before treating the score as the final decision.
- Best fit: Process engineers using historian data.
- Check first: connectors, data ownership, plant readiness, dashboards, and security requirements.
Bottom line: Seeq Analytics is most useful when its core strengths match the work your team repeats often.
KEY FEATURES
What you get out of the box
Time Series Search
Finds patterns across historian data quickly
Calculation Engine
Builds engineered signals on top of data
Operational Dashboards
Operational views and asset performance reports
Historian Connectors
Connects to PI and other industrial historians
Engineer Collaboration
Shared analyses across reliability and process teams
Cloud Deployment
Runs in major cloud providers globally
USE CASES
Where teams put it to work
Editorial Take
What we like, and what to verify
- Needs strong historian data and engineering capacity
- Less suited for plants without process data history
- Pricing scales with users and connected sources
Screenshots
A look inside
Seeq Analytics homepage screenshotAlternatives
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FAQ
