Manufacturing analytics software turns machine, MES, ERP and historian data into metrics such as OEE, downtime, quality and throughput. It is used by plant engineers, operations teams and IT or data teams who need a trustworthy view of what is happening on the shop floor, and increasingly to feed AI models with structured plant data.
This page compares eight options across three approaches: shop-floor apps and monitoring (Tulip, MachineMetrics), industrial data platforms and process analytics (Seeq, Sight Machine, Litmus, Cognite), and general-purpose analytics you assemble yourself (Grafana, Power BI). Most industrial vendors do not publish prices, so pricing notes only state what each vendor lists publicly as of 2026-11-07.
Tools, licences and pricing checked against vendor and repository pages on November 7, 2026.
1. Tulip
CommercialBest for: Operations teams building no-code shop-floor apps with analytics · Free 30-day trial (Tulip Essentials tier); plans and add-ons not priced publicly, see vendor pricing
Tulip is a platform manufacturers use to build and connect apps for tracking production, quality and traceability. Its analytics features include production tracking, manufacturing dashboards, OEE tracking and a data and analytics module that brings machine and enterprise data together.
Strengths
- + No-code apps plus analytics in one platform
- + OEE and production dashboards
- + Free trial available
Trade-offs
- − Prices are not published
- − Broader than pure analytics
2. MachineMetrics
CommercialBest for: Discrete and CNC manufacturers wanting machine monitoring and job tracking · See vendor pricing (demo and sales contact)
MachineMetrics sells MaximaOS, a platform that pulls live data from machines, ERP and maintenance systems to help discrete manufacturers schedule work, track jobs and measure performance. It includes an AI assistant for insights and recommendations.
Strengths
- + Live machine data collection
- + Focus on discrete manufacturing
- + AI-assisted insights
Trade-offs
- − No public pricing
- − Less suited to process industries
3. Seeq
CommercialBest for: Process industries analysing time-series historian data · See vendor pricing (demo and sales contact)
Seeq makes industrial analytics software that blends AI with human expertise so industrial companies can decide faster. It connects operational data across sectors such as oil and gas, chemicals and pharmaceuticals.
Strengths
- + Built for time-series process data
- + Used across process sectors
- + Vertical offerings such as pharma
Trade-offs
- − No public pricing
- − Aimed at process engineers more than shop-floor apps
4. Sight Machine
CommercialBest for: Multi-plant manufacturers standardising plant data models · See vendor pricing (demo request)
Sight Machine connects a plant controls, historians, MES and ERP systems into a structured data model that AI agents can analyse. Those agents look for ways to increase output and reduce waste.
Strengths
- + Unified data model across plants
- + Connects controls, MES and ERP
- + AI agents for improvement analysis
Trade-offs
- − No public pricing
- − Enterprise-oriented rollout
5. Litmus
CommercialBest for: Teams that need edge data collection before analytics · Free Developer Edition of Litmus Edge; commercial pricing, see vendor pricing
Litmus is an industrial data platform that links factory equipment to a structured data foundation. Litmus Edge gathers data from assets, organises it and runs applications and AI on-site at the edge.
Strengths
- + Edge-side data collection and processing
- + Free developer edition
- + Feeds analytics and AI downstream
Trade-offs
- − Mostly a data layer, analytics are partly downstream
6. Cognite Data Fusion
CommercialBest for: Large industrial enterprises building a contextualised data layer · See vendor pricing (demo and contact)
Cognite Data Fusion is an industrial data and AI foundation that unifies, contextualises and activates industrial data at enterprise scale.
Strengths
- + Strong data contextualisation
- + Enterprise scale
- + Built for industrial data
Trade-offs
- − No public pricing
- − Heavy for single-plant needs
7. Grafana
AGPL-3.0Best for: Engineering teams building custom shop-floor dashboards · Free, open source (self-hosted); Grafana Cloud Free, Pro from $19/month plus usage, Enterprise from $25,000/year commit
Grafana is an open-source platform for monitoring and observability that lets you query, visualise and alert on metrics wherever they are stored. It is widely used for plant and IoT time-series dashboards alongside historians and databases.
Strengths
- + Huge data-source ecosystem
- + Flexible dashboards and alerting
- + Free self-hosted option
Trade-offs
- − No built-in OEE or manufacturing model; you build it
- − AGPL licence obligations
8. Power BI
CommercialBest for: Microsoft-centric companies reporting on ERP and MES data · Power BI Desktop free; Pro $14.00 per user/month and Premium Per User $24.00 per user/month, billed yearly
Power BI is Microsoft business intelligence software for building reports and dashboards. Many manufacturers use it to report on ERP, MES and quality data in a Microsoft environment.
Strengths
- + Free Desktop authoring tool
- + Fits Microsoft 365 environments
- + Large connector library
Trade-offs
- − Not manufacturing-specific
- − Per-user licensing grows with viewers
