Getting Started Cameras & Video Detection & Recording Automation & Events Actions Integration & Connectivity Network & Discovery AI & Remote Control MQTT Modbus ZeroMQ System & Administration Comparisons Use Cases Troubleshooting About & Legal
Home / Documentation / Banalytics vs Frigate: when to choose each (feature matrix)
Knowledge base Comparison 5 min read

Banalytics vs Frigate

When to choose each — capabilities, deployment, and integration matrix.

Frigate is an open-source NVR focused on real-time AI object detection, primarily for Home Assistant users. Banalytics is a broader edge orchestration platform that combines VMS, IoT, Modbus, MQTT, dashboards, and event-driven workflows in one product. Choose Frigate if your goal is a Docker-based, AI-detection NVR tightly coupled to Home Assistant. Choose Banalytics if you need multi-site, multi-protocol orchestration with built-in alerts, dashboards, and industrial protocol support (Modbus, ZeroMQ).


Choose Frigate when

  • Your primary goal is real-time object detection from cameras feeding directly into Home Assistant.
  • You run Docker and want a single self-contained NVR container.
  • You already use a Coral TPU, NVidia GPU, or OpenVINO-compatible CPU for AI.
  • You only need video; no industrial sensors, no Modbus, no multi-site dashboards.

Choose Banalytics when

  • You need cameras plus sensors, Modbus equipment, MQTT topics, or DAQ in one platform.
  • You want multi-site monitoring with one dashboard across locations.
  • You need Telegram, email, audio output, or webhook actions out of the box, not via add-ons.
  • You want native AI (YOLO) plus a Gemini assistant for scene queries.
  • You run on a wider range of hosts: bare-metal Windows, Linux x86_64, Linux ARM64, with or without Docker.
  • You need a free Community tier with predictable per-component pricing for scaling.

Side-by-side capabilities

CapabilityBanalyticsFrigate
LicenseCommercial with free Community tierMIT (open source)
DeploymentNative installer (Win/Linux x64/ARM64), no Docker requiredDocker container
Minimum hardware1.66 GHz CPU, 2 GB RAMMulti-core x86, 4 GB+ RAM; Coral TPU recommended for AI
Camera protocolsONVIF, RTSP, USBRTSP (FFmpeg-based ingestion)
Object detectionYOLO (v5/v8/v11) on CPU/GPUTensorFlow Lite, OpenVINO, Coral TPU, ONNX
LLM assistantGemini AI assistant for natural-language scene queriesNot built-in
Industrial protocolsModbus RTU/TCP, MQTT v3/v5, ZeroMQMQTT only (event bus)
Multi-siteMultiple linked agents in one consoleOne instance per location
Built-in alertsTelegram, email, audio, MQTT, webhook, PTZ, Java/CMD tasksMQTT events; integrate via Home Assistant for the rest
DashboardsBuilt-in, configurable in browserLive view; full dashboards expected via Home Assistant
Remote accessPortal-mediated WebRTC P2P, no public IP requiredVPN or reverse proxy you set up
StorageLocal disk, NAS, network shareLocal disk (bind-mounted volume)
PricingFree Community tier; Basic $15/mo; Pro $50/mo; Enterprise customFree; donation-supported

Where they overlap

  • Both are local-first: recordings stay on your hardware.
  • Both publish events via MQTT for downstream automation.
  • Both support common IP cameras (ONVIF/RTSP).
  • Both run AI object detection at the edge.

Coming from Frigate?

If you already publish Frigate events to MQTT and consume them in Home Assistant, the same event bus works with Banalytics. Banalytics adds Modbus, dashboards, multi-site agents, and built-in actions on top, so you can extend rather than replace your setup. For pure Home Assistant camera integration, see Best VMS for Home Assistant.

Try Banalytics free in 5 minutes

Community tier is free forever. No credit card. Runs alongside Frigate or Home Assistant.