Tulip alternatives

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

Tulip Sight Machine Cognite Braincube
Vendor Tulip Interfaces, Inc. Sight Machine, Inc. Cognite AS Braincube
Pricing model Usage-based Quote only Quote only Quote only
Free tier No No No No
Deployment Cloud Cloud Cloud Cloud
Open source No No No No
Best for Manufacturers wanting to digitize shop-floor workflows and get analytics without a separate data-engineering build. Manufacturers with mixed equipment vendors needing consistent OEE and quality metrics across lines and plants. Asset-heavy industrial enterprises needing to contextualize scattered historian and engineering data for analytics and AI. Process manufacturers wanting pre-built analytics apps rather than custom-built process models.
Pricing

Billed per Monthly Active Interface, billed annually, with separate tiers for basic and sensor-enriched workflows.

Essentials $100/month per interface
Professional $250/month per interface
Enterprise custom
Regulated Industries custom

Prices read from the vendor's own page on September 21, 2026. Vendors change prices; check the source before you budget.

Sold as enterprise analytics contracts to manufacturers; 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 an enterprise software subscription to manufacturing plants and groups; pricing is not published.

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

Features
  • No-code app builder for shop-floor workflows
  • Guided work instructions and quality checks
  • Automatic data capture from apps, machines and sensors
  • Production and quality analytics dashboards
  • PLC and machine connectivity
  • Compliance features for regulated manufacturing
  • 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
  • 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
  • Pre-built analytics apps for common process-improvement problems
  • Correlation analysis between process variables and quality outcomes
  • Energy consumption and throughput optimization
  • Process modeling without custom data-science projects
  • Multi-site data aggregation
  • Configurable dashboards for plant engineers

In the index now