Seeq Analytics

Self service analytics for process data

SF8.7
seeqprocess analyticstime series analytics
seeqprocess analytics

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

Investigate process plant events and anomalies
Build asset performance dashboards for engineers
Support reliability engineering analysis and decisions
Replace spreadsheet analytics with managed tools
Standardize process analytics across plant teams
Connect to existing historians and sources

Editorial Take

What we like, and what to verify

What we like
  • Powerful time series analytics for process engineers
  • Connects to many industrial historians and sources
  • Encourages collaboration across reliability and process teams
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

FAQ

Quick answers

DECISION TIME

Ready to decide if Seeq Analytics is the right fit?

Start with the product site, or compare it against similar tools before choosing.

Visit Seeq Analytics