A Flexible Alternative to Litmus
FlowFuse is an open, cloud-ready platform that industrial teams choose as an alternative to Litmus. Build faster, stay flexible, and scale Industrial AI on your terms — without unnecessary lock-in.
Open, flexible edge architecture
Customers can run FlowFuse where it makes sense — at the edge, on-premises, or in the cloud — and integrate with a wide range of clouds, data platforms, and AI services, rather than a single, tightly coupled stack.
Reduced vendor lock-in and higher portability
Because flows remain Node-RED-compatible and rely on open standards, organizations can evolve their Industrial AI strategy over time without being constrained by a monolithic, proprietary edge data platform.
Why Industrial Teams Consider FlowFuse Instead of Litmus
Industrial organizations evaluating Litmus often explore FlowFuse for a more open, modular approach to edge connectivity, data orchestration, and Industrial AI workloads.
Built for open architectures
Run your Industrial IoT and AI workloads at the edge, on-premises, or in the cloud, and keep the freedom to choose the infrastructure and services that fit each site.
Open & extensible
Built on open-source Node-RED and an open connector ecosystem, so engineering teams can integrate a wide range of OT assets, IT systems, and AI services with full visibility into every flow.
Fast integrations
Native support for MQTT, OPC-UA, REST APIs, SQL targets, and UNS-style architectures helps reduce custom glue code and accelerates time from prototype to production.
| Features | FlowFuse | Litmus |
|---|---|---|
| Platform foundations | Built on Node-RED and an open-source ecosystem | Enterprise-grade Industrial Edge Data Platform combining connectivity, analytics, and AI in one product |
| Openness & transparency | Flows are human-readable, portable, and can be version-controlled alongside code | Integrated environment designed to abstract complexity for large-scale deployments |
| Deployment flexibility | Designed for edge, on-prem, and cloud deployments across heterogeneous infrastructures | Deployed at thousands of industrial sites with a strong focus on Industrial AI at scale |
| Integration patterns | MQTT, OPC-UA, REST, SQL, UNS patterns, and a large library of community nodes | Broad OT connectivity plus pre-built connectors for major clouds and data platforms |
| Extensibility model | Extend with JavaScript, custom Node-RED nodes, and APIs to fit unique plant requirements | Extend within the Litmus platform using its built-in capabilities and integrations |
| Industrial AI approach | Bring-your-own models, services, and clouds to keep AI strategy flexible over time | Positioning as 'Industrial AI-ready' with an integrated edge data and AI stack |
| Governance & ownership | Designed so customers can deeply inspect, test, and govern the logic that runs at the edge | Emphasizes centralized management of nodes, apps, and models at scale |
How to Move Workloads from Litmus to FlowFuse
- Migration consultation: We review your current Litmus deployment, main use cases, and data flows, then propose an equivalent FlowFuse architecture that preserves your requirements while increasing openness and flexibility.
- Try FlowFuse with your data: Connect representative OT assets, replicate key pipelines, and validate performance, maintainability, and operator experience in a controlled pilot before you commit.
- Gradual rollout with expert support: We support you from initial pilot to multi-site rollout, helping your team standardize patterns, document best practices, and train engineers on the FlowFuse-based approach.
Trusted by industrial teams worldwide to modernize their OT‑IT data infrastructure and edge architectures.
Exploring Alternatives to Litmus?
Discover how FlowFuse can help your team modernize its industrial edge and data infrastructure with an open, flexible platform that complements your existing AI and analytics strategy. Book a Demo with a FlowFuse Expert.