Tool Relations

Nav2 can be monitored and debugged using Foxglove's modern robotics visualization platform as an alternative to RViz, providing web-based access to navigation data and diagnostics.

Onshape

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Siemens Teamcenter

Integrates with

Onshape supports data exchange with enterprise PLM systems including Siemens Teamcenter through standard CAD file formats and API integrations.

Onshape Enterprise includes native connection to Arena PLM for extended product lifecycle management capabilities

ONNX Runtime supports TensorFlow models converted to ONNX format through the tf2onnx converter. This enables TensorFlow-trained models to leverage ONNX Runtime's hardware acceleration and cross-platform deployment capabilities.

ONNX Runtime natively supports models exported from PyTorch via the ONNX format. PyTorch models can be converted to ONNX using torch.onnx.export() and then optimized and deployed through ONNX Runtime for production inference across diverse hardware targets.

OpenVINO converts and optimizes PyTorch models for inference on Intel hardware.

OpenVINO converts and optimizes TensorFlow models for inference on Intel hardware.

SAP Digital Manufacturing

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Node-RED

Integrates with

Node-RED serves as an edge integration layer for SAP DM in brownfield environments, translating legacy PLC protocols and custom machine interfaces into OPC-UA or MQTT streams that SAP Manufacturing Connectivity can ingest.

Node-RED acts as a low-code integration layer between Odoo's XML-RPC/REST API and shop floor equipment, enabling manufacturers to push sensor readings, machine states, or barcode scans into Odoo manufacturing orders without custom Python development.

n8n workflows can write to InfluxDB via HTTP API calls, acting as a transformation and routing layer between MQTT/webhook event sources and time-series storage.

n8n's built-in MQTT Trigger node subscribes directly to Mosquitto broker topics, enabling event-driven workflows whenever a device publishes a message — connecting shop floor events to business systems.

n8n can trigger Grafana annotations, fire alerts into n8n workflows via webhooks, and write processed data to datasources (PostgreSQL, InfluxDB) that Grafana visualizes — linking automation pipelines to dashboards.

Apache Flink has a native connector for Apache Pulsar, enabling Flink to consume and produce data streams via Pulsar topics for real-time processing.

dora-rs optionally uses Zenoh protocol for distributed communication when nodes run across multiple machines. Local single-machine deployments use shared memory instead.

Archestra exposes Prometheus metrics for LLM token usage, request latency, tool blocking events, and system performance monitoring.

Archestra exports metrics to Prometheus and provides pre-configured Grafana dashboards for monitoring LLM token usage, request latency, and tool blocking events.

KubeEdge EventBus component integrates with MQTT brokers like Mosquitto for device communication

United Manufacturing Hub

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TimescaleDB

Integrates with

UMH Classic uses TimescaleDB as the time-series historian for storing and querying manufacturing data

United Manufacturing Hub

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Apache Kafka

Integrates with

UMH Classic architecture uses Apache Kafka as the high-throughput message broker for the Unified Namespace

EMQX provides native InfluxDB integration, enabling direct storage of MQTT message data into InfluxDB time-series database for IoT analytics and monitoring.

EMQX and Node-RED form a powerful combination for IoT data collection and processing, with EMQX handling high-scale MQTT ingestion and Node-RED providing visual workflow automation.

EMQX provides native Kafka integration through its Rule Engine, enabling seamless streaming of MQTT messages to Kafka topics for real-time processing and analytics.

Prometheus provides the primary data source for Grafana dashboards in cloud-native monitoring stacks. Grafana's native Prometheus support allows users to query and visualize time-series metrics using PromQL directly.

TDengine provides a Grafana plugin for visualization and dashboarding of time-series data.

Apache IoTDB provides a native Grafana plugin for visualization and monitoring of time-series data stored in IoTDB.

NiFi provides native Kafka processors for producing and consuming messages from Kafka topics, enabling real-time data streaming pipelines.

ClickHouse can be used as a data source for Grafana dashboards

ClickHouse has native Kafka integration for real-time data streaming

TimescaleDB integrates with Apache Kafka for high-throughput data ingestion. The Kafka Connect TimescaleDB sink connector streams events directly into hypertables, enabling real-time analytics on streaming data.

HiveMQ provides the MQTT data stream that Grafana visualizes through its MQTT data source or via intermediate databases like InfluxDB.

HiveMQ brokers MQTT messages from IoT devices that are then written to InfluxDB for time-series storage and analysis.

HiveMQ and Node-RED form a common IoT data pipeline. Node-RED connects to HiveMQ as an MQTT client to subscribe to device topics, process messages, and route data to databases, APIs, or other services.

TimescaleDB integrates natively with Grafana through the PostgreSQL data source. Grafana can query hypertables directly using standard SQL, visualize time-series metrics, and leverage continuous aggregates for fast dashboard rendering.