How does TCO compare between self-hosted ThingsBoard and Datacake?

ThingsBoard Community Edition as software is free; the cost is hosting, database, redundancy, monitoring, on-call and expert hours. Datacake's all-in cost for a typical deployment under ~50,000 devices is usually lower than the fully-loaded TCO of running ThingsBoard reliably yourself. Above that scale, the calculation depends on team and infrastructure choices.

Can I bring my LoRaWAN devices that currently feed ThingsBoard via TTN or ChirpStack?

Yes. Because Datacake includes its own LNS, you can switch the upstream and feed devices directly into Datacake, with no separate network server to operate. Your devices keep the same DevEUI, JoinEUI/AppEUI and AppKey, so no firmware re-flash is required.

What about my existing rule chains and converter scripts?

On the converter side, most popular sensors already have a Datacake template: the decoder, the dashboard and the downlink hooks ship pre-wired, so a custom ThingsBoard converter is rarely needed. On the rule side, alerts, thresholds and webhook actions translate one-for-one onto Datacake's rule engine; only deeply branching rule chains call for a short re-modelling pass during migration.

Does Datacake support MQTT and HTTP ingestion like ThingsBoard?

Yes. Beyond the bundled LoRaWAN Network Server, Datacake exposes MQTTS and HTTPS endpoints for non-LoRaWAN devices and upstream platforms. Existing ThingsBoard MQTT clients usually need only endpoint and credential changes.

Can I export data from ThingsBoard before I migrate?

Yes. ThingsBoard supports CSV / API export of telemetry and device attributes. Datacake offers bulk device import via CSV and an API for telemetry backfill, so historical data can be brought along rather than starting from zero.

If I migrate to Datacake, can I still go back to ThingsBoard later?

Yes. Because no firmware was changed and Datacake exposes MQTT and webhook outputs, rolling back is always possible: re-point the gateway or the upstream MQTT producer back to a ThingsBoard instance. Datacake does not lock device identity.

All comparisons

Datacake vs ThingsBoard

Datacake: a managed IoT platform alternative to running ThingsBoard yourself

ThingsBoard is a capable open-source IoT platform with a flexible rule engine and a rich widget library. The catch is the operations: install, scale, monitor, patch, secure the database tier and keep the rule chains under version control. Datacake operates an equivalent platform as a managed service, with a LoRaWAN Network Server included free in every plan, so your team focuses on the application instead.

Managed SaaS: no Postgres, Cassandra or rule-chain ops to run
Free LoRaWAN Network Server included in every plan
400+ device templates with payload decoders out of the box
MQTT, HTTP and webhook ingestion for non-LoRaWAN devices

Get started free See the Datacake IoT platform

ThingsBoard 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	ThingsBoard	Datacake
Hosting model	Self-hosted (Docker / Kubernetes / bare metal); managed Cloud tier available	Managed SaaS, hosted by Datacake
Operating cost	PartialCommunity Edition is free as software; you pay for hosting, Postgres / Cassandra, monitoring and on-call	Per-device licenses; LNS, dashboards and rules included
Patching and version upgrades	Your responsibility on self-hosted	Datacake operates and patches the platform continuously
Bundled LoRaWAN Network Server	Ingest LoRaWAN via integration with TTN / TTS / ChirpStack	Native LNS, included free in every plan
Device template library with payload decoders	PartialConfigurable converters and a community widget library	400+ Datacake-maintained templates, no manual converter authoring
Built-in rule / automation engine	Rule chains with deep customisation	Rules with email, SMS, push and webhook actions plus escalation
Built-in dashboards	Widget-based dashboard editor	Template-driven dashboards per device type
Multi-protocol device ingestion	MQTT, HTTP, CoAP, LwM2M, SNMP	MQTT, HTTPS, native LoRaWAN
On-prem / air-gapped deployment	Strong fit for sovereign / regulated deployments	Managed SaaS only
Required ops expertise	Postgres / Cassandra, JVM tuning, networking, observability	None: Datacake handles operations

Capabilities reflect the public ThingsBoard documentation (Community Edition / Professional Edition / Cloud) and Datacake at the time of writing. ThingsBoard is an active open-source project. Your TCO depends on hosting choice, team expertise and uptime requirements.

Why Datacake

Where Datacake comes out ahead

No platform infrastructure to operate
Running ThingsBoard means owning a Postgres / Cassandra and JVM stack and keeping it patched. Datacake hides all of that. Your team focuses on the application and the device fleet, not the database tier.
Native LoRaWAN: no separate LNS to integrate
ThingsBoard ingests LoRaWAN by integrating with an external LNS (TTN / TTS / ChirpStack). Datacake ships the LNS in the same product, so onboarding LoRaWAN devices is a single workflow: pick the template, paste the keys, done.
Faster device onboarding via templates
400+ ready-to-use templates apply payload decoders, dashboards and downlinks per device. On ThingsBoard you typically author the converter and assemble the dashboard widget-by-widget on day one.
Lower TCO for most teams
ThingsBoard Community Edition is free as software, but hosting, monitoring, on-call and expert hours are not. For most teams below ~50,000 devices, the all-in cost of operating ThingsBoard reliably is higher than Datacake's per-device pricing.

Honest take

When ThingsBoard might be the better fit

Sovereign / on-prem deployment is required
If regulation, government contract or critical-infrastructure requirements mandate that the IoT platform run inside your own network, ThingsBoard is the natural answer. Datacake is a managed SaaS and does not offer on-prem.
Deep rule-chain or widget customisation
ThingsBoard's rule chains and widget bundles expose a lot of internals. If your application demands per-customer custom rule logic or bespoke widget rendering, that flexibility is a real advantage.
Your team already runs the JVM / Postgres / Cassandra stack
ThingsBoard's runtime (JVM tuning, Postgres or Cassandra for telemetry, plus the rule-chain version-control discipline) is non-trivial, but if you already operate that stack at production grade the marginal cost of more devices is small. Datacake's value proposition is for teams that do not want to keep that surface.

Datacake vs ThingsBoard: frequently asked questions

Ready to get started?

Create your free account and start monitoring temperature, humidity and air quality in minutes, or book a demo to see how Datacake fits your use case.

Get Started Free Book a Demo

Get in touch

We typically reply within one business day.