Outbound Connectors send copies of your telemetry to external systems while Proxus continues to store data internally. Use them to feed data lakes, analytics platforms, or enterprise messaging backbones.
Outbound Connector Architecture
developer_board
Edge Gateway
Data Source
call_split
Outbound Router
Parallel Dispatch
storage
Databases
ClickHouse / Postgres
message
Messaging
Kafka / MQTT
cloud
Cloud IoT
AWS / Azure
Connector Categories
Databases
| Connector | Page | Description |
|---|---|---|
| ClickHouse | Guide | High-performance columnar OLAP with Async Inserts and LZ4 |
| PostgreSQL | Guide | Relational database with auto table creation |
| MySQL | Guide | Relational database with batch inserts |
| SQL Server | Guide | Microsoft SQL Server with bulk copy |
| Oracle | Guide | Enterprise database with batch operations |
| InfluxDB | Guide | Time-series database with line protocol |
| Redis | Guide | In-memory key-value store with pub/sub |
| TDengine | Guide | Time-series database with WebSocket and Super Tables |
| SQLite | Guide | Lightweight local database |
| Firebird | Guide | Embedded/server relational database |
| IBM DB2 | Guide | Enterprise mainframe database |
Messaging
| Connector | Page | Description |
|---|---|---|
| MQTT | Guide | QoS support, TLS, in-memory reactive buffering |
| Apache Kafka | Guide | High-throughput with partitioning and replication |
| RabbitMQ | Guide | AMQP protocol with exchanges and routing keys |
Cloud IoT
| Connector | Page | Description |
|---|---|---|
| AWS IoT Core | Guide | X.509 certificate auth over MQTT |
| Azure IoT Hub | Guide | Device telemetry via MQTT over TLS |
| Sparkplug B | Guide | Eclipse Sparkplug B with device lifecycle |
Analytics & API
| Connector | Page | Description |
|---|---|---|
| Splunk | Guide | HEC forwarding with SSL and acknowledgment |
| Azure Data Lake | Guide | Gen2 export with Parquet, JSON, and CSV |
| HTTP API | Guide | Flexible HTTP export with authentication |
When to Use Outbound Connectors
- Enterprise analytics: stream telemetry to your data lake or BI stack.
- IT/OT integration: publish data to Kafka or MQTT for downstream services.
- Cloud ingestion: forward device data to managed IoT platforms.
- Rule-driven exports: trigger outbound channels from the Rules Engine when conditions match.
If you are looking for device connectivity (OPC UA, Modbus, Siemens S7, etc.), see Protocols.