Honeywell Forge
Honeywell Forge: A broad industrial analytics platform for Honeywell-centered operational intelligence. Ranked #23 of 24 in IoT Analytics Software by our editors (7.0/10); pricing: Pricing on request; best for honeywell-centered operational analytics.
At a glance
- Editor score7.0 / 10
- PricingPricing on request
- Best forHoneywell-centered operational analytics
- Anomaly detectionYes
- Founded2019 · Charlotte, North Carolina, United States
- Facts checked22 Sep 2026
Where it wins
- Real-time monitoring with KPI dashboards and enterprise insights
- Predictive analytics, anomaly detection and early-risk identification
- Guided diagnostics with broad legacy-system connectivity
Where it doesn't
- Web and API coverage is narrower than its industrial analytics scope
- Multiple applications can make product selection more complex
- Device limits and data-retention options vary by offering
Our verdict on Honeywell Forge
Honeywell Forge is a cloud-based software platform for industrial enterprises, building operators and organizations managing connected physical assets. It connects installed assets and operational data, then provides real-time monitoring, performance dashboards, predictive analytics, guided root-cause diagnostics and operational insights. The platform is particularly suited to Honeywell-centered environments spanning industrial operations, buildings, utilities, supply chain and other critical infrastructure use cases.
Its integration approach is a central strength. Honeywell Forge can connect with OPC, ODBC, APIs, file transfers, existing control systems and historian systems, helping organizations bring operational data together across installed and third-party systems. Intelligent search supports exploratory analysis, while KPI visualization provides an enterprise view of performance. This makes Forge a fit for organizations that need analytics across established operational technology rather than a narrowly focused telemetry dashboard.
The analytics layer combines real-time stream processing with anomaly detection, machine learning and AI models for telemetry and operational analysis. Predictive capabilities address process deviations and asset performance, while guided diagnostics help teams investigate likely root causes. Honeywell Forge is best suited to complex environments where predictive insight, operational context and legacy-system connectivity matter together. Organizations seeking a simpler, narrowly scoped monitoring tool or a more standardized web-and-API-first product may find its broad application scope less suitable.
Your product? Our editors can test Honeywell Forge in depth and publish a review, labelled as paid · from $149/mo →
Honeywell Forge pricing
Honeywell Forge fact sheet
| Free plan | Not verified |
|---|---|
| Paid from | Not verified |
| Device limit | Not verified |
| Data retention | Not verified |
| Stream processing | Real-time |
| Custom dashboards | Not verified |
| SQL querying | Not verified |
| Anomaly detection | Yes |
| Machine learning tools | Yes |
| Deployment | Cloud |
| Platforms | Web |
| Compliance & security | SOC 2, ISO 27001, GDPR |
| Support | Phone, Tickets |
| Built for | Enterprise, Mid-market (editorial estimate) |
| Integrations | 6 integrations: OPC, ODBC, APIs, file transfers, existing control systems, historian systems |
| Pricing | Pricing on request |
| Website | honeywell.com |
| Facts checked | 22 Sep 2026 |
Honeywell Forge integrations
Honeywell Forge lists 6 integrations on its own site.
- OPC
- ODBC
- APIs
- file transfers
- existing control systems
- historian systems
Alternatives to Honeywell Forge
- Apache IoTDBA strong open-source choice for SQL-driven, high-throughput IoT analytics.9.3
- InfluxDBA mature, flexible time-series platform for IoT, observability, and real-time analytics.9.2
- TDengineA broad industrial time-series platform with a valuable free tier and high paid pricing.9.0
See all Honeywell Forge alternatives →
Also Ranked In
Honeywell Forge is ranked in 4 of our directories.
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Reviewed by iTechGuides Editors · Editorial team · Updated Oct 2026
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