Datacake

Datacake is a platform for monitoring sensor deployments through live dashboards, alerts, and reports. It is best suited to teams using LoRaWAN devices and integrators building monitoring services for customers. Its managed network server and broad device catalog are compelling, but device caps and sharply higher paid tiers make scale an important buying consideration.

Overview

Datacake supports monitoring for cold-chain conditions, temperature and humidity, indoor air quality, soil moisture, and industrial noise. Real-time processing, custom dashboards, and anomaly detection suit ongoing operations rather than one-off data review. Teams can build dashboards without coding and send sensor data to external systems.

Every plan includes a managed LoRaWAN Network Server with unlimited gateways and no per-gateway fees. That simplifies gateway costs, but it does not remove device, advanced-rule, or webhook limits. Founded in 2016, Datacake is headquartered in Vreden, Germany.

Key features

LoRaWAN devices and network

More than 400 LoRaWAN templates span over 125 manufacturers, including payload decoders and dashboards. Deployments using supported devices can get a faster path from hardware to useful monitoring; teams with other device types may benefit less. White-label branding and multi-tenancy also make the platform relevant to system integrators, distributors, and OEMs managing customer environments.

Dashboards, alerts, and integrations

Users can create live sensor dashboards without coding and set thresholds or rules to trigger email, SMS, or webhook alerts. MQTT, HTTPS webhooks, and a REST API provide routes for streaming data to external systems. The value is operational visibility in one place; plan-specific limits on rules and outgoing webhooks can constrain more elaborate workflows.

Mobile apps and AI assistant

Native iOS and Android apps support dashboards, device onboarding, alert creation, and push notifications, so routine monitoring does not depend on the web interface. The OpenAI-powered assistant can analyze sensor data and help create dashboards, rules, and decoders, but changes require confirmation rather than being applied automatically.

Pricing

Datacake has a free plan and paid plans beginning at €25/mo. There is no free trial. The free tier covers five devices, making it a small-deployment starting point rather than a long-term option for a growing fleet.

Hobby is the clearest fit for a small deployment: it raises the device ceiling to 25 and includes one workspace, but only five advanced rules. Light and Standard add device capacity and rules, while retaining one-year storage and limiting outgoing webhooks to two. Plus raises the ceiling to 1,000 devices and five webhooks, but its €€659 a month price is a substantial commitment. Light, Standard, and Plus can extend retention to two years with an add-on. Enterprise suits fleets above 1,000 devices that need configurable limits; it uses custom pricing.

Free support is best-effort. Paid Standard and Premium support packages have first-response targets of under five hours and under 60 minutes, respectively, during working hours. Paid Hobby, Light, Standard, and Plus plans include one year of retention; the two-year add-on applies to Light, Standard, and Plus.

Platforms

Datacake is available on web, iOS, Android, and through an API. The native mobile apps add onboarding and alert management alongside dashboard access, while the API and streaming integrations suit deployments that connect monitoring to other software.

Who it's for

Datacake is a strong fit for organizations monitoring supported LoRaWAN devices, especially when they want dashboards, alerting, and network management together. Integrators and OEMs can make use of multi-tenancy and white-label branding. It is less suited to a small project that needs many devices for little cost, or to deployments that need more webhooks or advanced rules than their tier allows.

Pros and cons

• Pros: A large LoRaWAN template catalog with decoders and dashboards can reduce setup effort for supported hardware.
• Pros: Unlimited gateways and no per-gateway fees make the managed network server easier to budget across plans.
• Pros: Mobile apps support onboarding and alert creation, not just viewing dashboards.
• Cons: The free plan stops at five devices, and Hobby at 25, limiting their usefulness as fleets expand.
• Cons: Paid tiers rise from €€25 a month to €€159 a month at Light, with webhook and rule caps still in place.
• Cons: Two-year retention requires an add-on and is available only on Light, Standard, and Plus among the named paid plans.

Alternatives

ThingsBoard is worth considering for teams that want self-hosted and desktop platform options alongside mobile and web; its free plan includes five devices, five assets, and 1M data points/mo, and a free trial is offered.

Ubidots may suit non-commercial projects that fit its free STEM tier of three devices; it also offers a free trial.

Arduino IDE is a free, open-source development environment for Linux, macOS, and Windows, rather than a sensor-monitoring platform.

Losant Enterprise IoT Platform offers Launch at $250 a month with 100,000 payloads per month and 90 days of retention; consider it if those stated limits align better with the deployment.

Kaa IoT Platform offers a free plan for five devices and Kaa Cloud 5 at $9.99 a month, making it an option for a smaller deployment seeking a lower listed entry price.

Mender focuses on over-the-air device updates, with a free open-source core and a Basic plan at $34 a month for up to 50 devices.

Bevywise IoT Platform is a paid option with a Lite plan at $1,500, paid once for up to 500 clients.

OpenRemote is a free platform with web, iOS, and Android support and a full-featured self-hosting community offering.

Browse IoT Device Management Platforms or IoT Analytics Software for more options.

Verdict

Choose Datacake if your team needs LoRaWAN monitoring with a substantial device-template catalog, a managed network server, and mobile tools for day-to-day alerts and onboarding. The main reason to look elsewhere is cost and capacity: device ceilings, webhook quotas, and steep jumps between tiers can make the fit poor as deployments grow.