20M+Data Points Monitored6ContinentsSince 2011In Production20M+Data Points Monitored6ContinentsSince 2011In Production20M+Data Points Monitored6ContinentsSince 2011In Production20M+Data Points Monitored6ContinentsSince 2011In Production20M+Data Points Monitored6ContinentsSince 2011In Production20M+Data Points Monitored6ContinentsSince 2011In Production

Platform Compatibility

Connects toeverything you run

One platform, every protocol. Mango by Radix IoT speaks your infrastructure's language so you never have to choose between what you monitor and what you miss.

7Databases
7+Deploy Targets
5+Security Layers
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Protocols & Data Sources

What protocols does Mango by Radix IoT support?

Every protocol runs as an independent module. Add only what your project needs. Mix industrial, IT, and IoT protocols in a single instance.

Explore protocol guides
BACnet IPBuilding automation over IP networksRead more
BACnet MS/TPBuilding automation over RS-485 busRead more
BACnet/SCBACnet Secure Connect over TLSRead more
Modbus TCP/IPIndustrial register polling over EthernetRead more
Modbus RTU (RS-232)Serial Modbus via RS-232Read more
Modbus RTU (RS-485)Serial Modbus via RS-485 busRead more
OPC UAModern OPC Unified Architecture clientRead more
OPC DAClassic OPC Data Access interface
DNP3 IPDistributed Network Protocol over IPRead more
DNP3 SerialDistributed Network Protocol over serialRead more
SNMPNetwork device monitoring via GET polling and trapsRead more
SSHSecure shell command execution
TCP/IPRaw TCP socket communication
Persistent TCPLong-lived TCP connections
SerialRS-232/RS-485 raw serial I/O
POP3 EmailEmail inbox polling
VMStatSystem performance metrics
HTTP JSONREST API JSON polling
HTTP ReceiverInbound HTTP data listener
HTTP RetrieverOutbound HTTP data fetcher
SQLDirect database query data source
InfluxDB Line ProtocolTime-series data ingestion
HaystackProject Haystack tagging model
ASCII FileFlat file data parsing
Data FileStructured file import
MQTTLightweight pub/sub messagingRead more
MQTT Sparkplug BIndustrial IoT Sparkplug specRead more
1-WireLow-cost sensor networks
Z-WaveWireless home/building automation
eGaugeEnergy monitoring integration
ScriptingJavaScript / Python custom handlers
MetaPoint-to-point derived values
PIDPID control loop logic
VirtualSimulated test data sources
InternalSystem internals monitoring

Need a protocol not listed here?

The Scripting data source lets you write JavaScript or Python handlers for any protocol reachable over TCP, UDP, or serial. Build custom integrations without forking the platform.

Database Backends

How does Mango by Radix IoT scale from embedded
to enterprise deployments?

Mango by Radix IoT uses two databases with different jobs: a configuration database for settings, users, events and audit (embedded H2, MySQL or PostgreSQL), and a time-series historian for point values (the built-in historian, or ClickHouse or TimescaleDB on a database you provision). Mango Free has no historian module and keeps point values in the relational database.

H2

Default
Embedded

Embedded, zero-config. Ships with Mango by Radix IoT for instant setup and development.

PostgreSQL 15

Recommended
Relational

100x faster queries. Production-grade relational with full ACID compliance.

100x faster queries vs v14

PostgreSQL 14

Relational

Stable long-term support. Widely deployed in enterprise environments.

MySQL

Relational

The world's most popular open-source database.

TimescaleDB

Time-Series

Alternative historian backend. Ships in the standard bundle, disabled by default, on a database you provision.

ClickHouse

Time-Series

Alternative historian backend, recommended at enterprise scale. Disabled by default, on a database you provision.

Built-in historian

Default
Time-Series

Purpose-built time-series store for point values, enabled in the standard and Enterprise packages. No separate database to procure.

Embedded Relational Time-Series

Deployment Options

Where does Mango by Radix IoT
run?

A single codebase deploys to bare-metal servers, edge gateways, containers, or a hybrid of all three. No feature differences between modes.

On-Premise

Full control on your hardware. Air-gapped capable, no external dependencies.

Edge

Purpose-built gateway appliance. Ruggedized for field deployment at the network edge.

Cloud

Containerized for any cloud. Kubernetes-ready with horizontal scaling.

Hybrid

Edge collection with cloud aggregation. Bidirectional sync across all sites.

Cloud Connect

Bidirectional sync between edge and cloud instances. Collect locally, aggregate globally. Each site operates independently if connectivity drops.

Security & Access Control

How does Mango by Radix IoT handle
security and access control?

01

Transport Encryption

HTTPS by defaultSSL/TLS with PKI certificates
02

Authentication

LDAP directory integrationOAuth 2.0 / OpenID Connect
03

Authorization

Role-based access controlPer-point permission granularity
04

Hardening

Content Security PolicyRate limitingReverse proxy support
05

Audit & Compliance

Full audit trail loggingNon-root Docker containers

All security features are included in every Mango by Radix IoT edition. No security add-ons, no premium tiers for compliance features, no per-user fees for SSO.

FAQ

Common questions

What if my protocol is not on the list?

Mango by Radix IoT supports custom integrations for any protocol not in the standard library. The Scripting data source lets you write JavaScript or Python handlers for any protocol reachable over TCP, UDP, or serial, and the module architecture supports fully custom data source types for proprietary or uncommon protocols.

Can I switch database backends after deployment?

Yes. Mango by Radix IoT separates application logic from the storage layer, so you can migrate from the embedded H2 database to PostgreSQL or another backend at any point with no application code changes required.

How does Mango by Radix IoT handle mixed-protocol environments?

Seamlessly. Each data source runs independently, so a single Mango by Radix IoT instance can poll BACnet devices, subscribe to MQTT brokers, query SQL databases, and ingest HTTP data simultaneously. All values normalize into a common point model.

Does Mango by Radix IoT support air-gapped deployments?

Yes. On-premise and edge deployments run entirely self-contained with no cloud dependency. Activation can be handled offline, and all modules install from local packages.

How many data points can a single instance handle?

There is no hard architectural limit. Production deployments regularly manage 50,000+ data points on a single edge instance, and performance scales with hardware and database backend selection.

Can Mango by Radix IoT run alongside existing BMS or SCADA systems?

Yes. Mango by Radix IoT operates as a vendor-agnostic overlay that reads from existing systems via their native protocols without requiring replacement or modification of field devices.

Ready to connect your infrastructure?

See how Mango by Radix IoT works with your specific protocols and deployment requirements.

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