Tago.io has no built-in LNS, so what is different on Datacake?

Datacake bundles its own LoRaWAN Network Server, so the upstream TTN, TTS or ChirpStack tenant that Tago.io requires becomes optional. Gateways re-point to Datacake's LNS and devices are registered with the same DevEUI, JoinEUI/AppEUI and AppKey they already use. The device firmware is untouched, the dashboards are rebuilt from the matching Datacake template, and the second account that fed Tago.io can be retired once the cut-over is verified.

How do I bring my Tago.io dashboards over?

Most popular hardware is covered by a Datacake template that ships with a default dashboard, so you usually do not have to recreate from scratch. For custom hardware the dashboard editor can replicate widget-by-widget; the data model is similar enough that the mapping is straightforward.

What about my Tago.io Analysis scripts (Node.js / Python)?

Datacake's rule engine covers most threshold, transformation and notification scenarios without code. For analyses that genuinely need arbitrary code, the standard pattern is a webhook from Datacake into a small AWS Lambda / Cloud Run / your own service, where you keep the existing script logic.

How does pricing compare between Tago.io and Datacake?

Datacake publishes per-device licenses on the pricing page and the LNS is free at every tier. Tago.io's tiers combine device count with a data-record consumption budget, which can be harder to forecast. For a precise side-by-side, compare your projected device count and dashboard refresh frequency against the public Datacake pricing.

Will the MQTT and HTTP devices that publish into Tago.io today still work?

Yes. Datacake exposes per-device MQTTS and HTTPS ingestion endpoints that accept the same JSON payload Tago.io accepts today. For most fleets the migration is a broker-host swap and a credential rotation rolled out via OTA or a config push. The payload contract on the firmware side does not change. Webhooks pointing the other way (Datacake → your business systems) are configured per rule, mirroring Tago.io's Action targets.

All comparisons

Datacake vs Tago.io

Datacake: an alternative to Tago.io with a bundled LoRaWAN Network Server

Tago.io is a US/Brazil-based IoT platform with a clean entity model, blueprint-based replication and tier-based pricing. For LoRaWAN deployments, Tago.io ingests data via an upstream network server (TTN, TTS or ChirpStack). Datacake bundles the LoRaWAN Network Server in the same product, ships 400+ device templates with payload decoders out of the box and publishes per-device licenses on the pricing page.

Bundled LoRaWAN Network Server: no upstream LNS to operate
400+ device templates apply decoders, dashboards and downlinks for you
Predictable per-device pricing, no separate data-record consumption line
MQTT and HTTPS ingestion for non-LoRaWAN devices

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Tago.io vs Datacake at a glance

A side-by-side view of the platform capabilities that matter when you evaluate. We've kept it factual. Both products have their strengths.

Capability	Tago.io	Datacake
Hosted IoT platform	Managed SaaS	Managed SaaS hosted in the EU
Bundled LoRaWAN Network Server	Ingests LoRaWAN via TTN / TTS / ChirpStack as upstream	Native LNS, included free in every plan
Device template catalog with payload decoders	PartialSupported-devices library plus per-device payload-parser scripting	400+ Datacake-maintained templates plus the LoRa Alliance / TTN device repo
Pricing model	PartialTier-based per device with data-record consumption on top	Public per-device licenses; LNS and gateways free
Free starter tier	Free tier with limited devices and data records	Free tier with included device licenses for production use
Built-in dashboards	Widget-based dashboard editor	Template-driven dashboards per device type, with manual editing
Built-in rule / automation engine	Analysis runtime (Node.js / Python) plus action triggers	Email, SMS, push and webhook actions with escalation
Multi-tenant / blueprint replication	Run-Buttons and Blueprints replicate accounts at scale	PartialWorkspace-level multi-tenancy with white-label, no blueprint replication out of the box
MQTT / HTTP ingestion for non-LoRaWAN devices

Capabilities reflect the public product documentation of Tago.io and Datacake at the time of writing. Both products evolve quickly, so please cross-check current pricing and tier limits on tago.io and datacake.co before purchase.

Why Datacake

Where Datacake comes out ahead

LoRaWAN Network Server is part of the SKU
Tago.io has no built-in LNS: every LoRaWAN deployment is paired with a TTN, TTS or ChirpStack account that you also operate or pay for. With Datacake the network server is part of the same product and the same bill, so a LoRaWAN project is one account, not three.
Hardware-aware templates instead of payload-parser scripts
On Tago.io a new device type starts with writing a payload parser in the device's encoder/decoder editor. Datacake ships 400+ templates so the decoder, dashboard and downlink hooks for popular hardware are already in place: first-uplink-to-first-chart is measured in minutes, not days.
Per-device pricing without a data-record meter
Tago.io tiers blend device count with a data-record budget that grows with every dashboard refresh and every analysis run. Datacake's pricing is a flat per-device license, so a chatty fleet or a public dashboard does not change the invoice.
Switch upstream without touching device firmware
Devices that reach Tago.io today through TTN or TTS keep their identity when you switch to Datacake: same DevEUI, JoinEUI/AppEUI and AppKey, no firmware re-flash. The TTN integration in Tago.io is replaced by a direct Datacake LNS endpoint and the dashboards rebuild from the templates.

Honest take

When Tago.io might be the better fit

You replicate identical fleets across many end-customer accounts
Tago.io's blueprint and Run-Button model is designed for replicating the same setup across many customer accounts at scale. If your business model is multi-tenant white-label distribution with per-customer billing, blueprints are a real advantage.
Custom analysis runtime (Node.js / Python) is central to your app
Tago.io runs hosted Node.js and Python analyses tied to platform events. If your pipeline depends on arbitrary code execution against device data, Tago.io exposes that surface natively where Datacake favours rules and webhooks to external runtimes.
Brazil / LATAM regional support is a hard requirement
Tago.io has Brazilian roots and a strong LATAM presence. If regional hosting, time-zone-friendly support or local procurement is part of your criteria, Tago.io remains a strong fit.

Datacake vs Tago.io: frequently asked questions

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