Seeq alternatives

3 tools to consider instead of Seeq, shown against it.

Seeq AVEVA PI System Cognite Sight Machine
Vendor Seeq Corporation AVEVA Group plc Cognite AS Sight Machine, Inc.
Pricing model Quote only Quote only Quote only Quote only
Free tier No No No No
Deployment Cloud, Self-hosted Cloud, Self-hosted Cloud Cloud
Open source No No No No
Best for Process engineers and manufacturers who need to analyze historian time-series data without heavy custom scripting. Industrial plants needing a proven, on-premises real-time data historian as their system of record. Asset-heavy industrial enterprises needing to contextualize scattered historian and engineering data for analytics and AI. Manufacturers with mixed equipment vendors needing consistent OEE and quality metrics across lines and plants.
Pricing

Sold as a software subscription to industrial manufacturers; a dedicated pricing page was not available at the time of writing.

Pricing has not been verified yet — see the vendor's site.

Sold as enterprise software licenses, perpetual or subscription with maintenance, to industrial operators; pricing is not published.

Pricing has not been verified yet — see the vendor's site.

Sold as a cloud subscription to industrial enterprises; a dedicated pricing page was not available at the time of writing.

Pricing has not been verified yet — see the vendor's site.

Sold as enterprise analytics contracts to manufacturers; pricing is not published.

Pricing has not been verified yet — see the vendor's site.

Features
  • Time-series search and cleansing across plant historians
  • Reusable calculations and equipment monitoring rules
  • Anomaly and capacity-constraint detection
  • Dashboards and reports for operations staff
  • Connectors to AVEVA PI System and other historians
  • Cloud and on-premises deployment options
  • High-frequency industrial time-series data historian
  • PI Asset Framework for contextualizing tags by equipment
  • PI Vision for real-time visualization and trending
  • Long-term efficient time-series storage
  • On-premises deployment with optional cloud connectivity
  • Wide ecosystem of third-party analytics connectors
  • Contextualized industrial knowledge graph
  • Ingestion from historians, SCADA and engineering systems
  • 3D model and document linking to equipment data
  • APIs and SDKs for building custom applications
  • Machine-learning model support for industrial use cases
  • Data governance across industrial data sources
  • Standardized manufacturing data model across heterogeneous equipment
  • Overall equipment effectiveness (OEE) analytics
  • Quality root-cause analysis
  • Cross-line and cross-plant performance benchmarking
  • Connectors for machines, MES and historian data
  • Production dashboards for continuous-improvement teams

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