If you are an Indian hardware company, factory owner, or EV OEM looking for an IoT platform, two names come up constantly: ThingsBoard and Akraniq. Both can ingest telemetry, show dashboards, and manage devices. But the similarities end there. This article breaks down exactly where each platform excels, where each falls short, and which one makes more sense for your specific situation.
What each platform does
ThingsBoard is an open-source IoT platform originally built in 2016. It offers device management, data collection, rule-based processing, and visualization. The community edition is free and self-hosted. The professional edition (ThingsBoard PE) adds multi-tenancy, advanced analytics, and integrations. ThingsBoard Cloud is their managed SaaS option.
Akraniq is a managed cognitive IoT platform built specifically for sensor and device companies. It combines MQTT ingestion, edge AI inference, time-series dashboards, predictive maintenance, and managed operations into a single service. There is no self-hosted option — Akraniq handles infrastructure, firmware integration, and ongoing operations end to end.
Deployment model: managed vs self-hosted
This is the biggest difference and it affects everything else.
ThingsBoard Community Edition requires you to set up and maintain your own servers. You need a Linux VM (typically on AWS EC2 or a local server), PostgreSQL or Cassandra for the database, and someone on your team who understands Java, Docker, and infrastructure management. For a hardware company with 2-3 embedded engineers and no DevOps team, this is a significant burden. ThingsBoard PE on their cloud offering removes some of this burden but costs USD 300-1000 per month depending on scale.
Akraniq is fully managed from day one. You do not provision servers, manage databases, or configure load balancers. The platform runs on AWS IoT Core and Azure IoT Hub, with InfluxDB for time-series storage and Grafana for dashboards. Your team focuses on building hardware — Akraniq handles cloud infrastructure, firmware SDKs, OTA updates, and 24/7 monitoring.
For Indian SMBs where the entire tech team might be 3-5 people, the managed model is usually the right choice. Your engineers should be designing circuits and writing firmware, not debugging Kubernetes pods.
Ease of setup for hardware companies
ThingsBoard has a learning curve. Device provisioning requires creating device profiles, configuring transport (MQTT, CoAP, HTTP), setting up rule chains for data processing, and building dashboards from scratch. The documentation is extensive but assumes familiarity with IoT architecture concepts. Expect 4-8 weeks before your first production deployment.
Akraniq provides firmware SDKs for ESP32, STM32, and Raspberry Pi that handle device authentication, MQTT connection, and telemetry publishing out of the box. A typical integration takes 2-4 weeks from first call to live devices, including dashboard setup and alert configuration. The platform is opinionated — it makes decisions about data models, retention policies, and alert routing so you do not have to.
Edge AI capabilities
This is where the platforms diverge significantly.
ThingsBoard has a rule engine that can process data server-side and trigger actions, but it does not have native edge AI inference. You can run ThingsBoard Edge (a separate product) on gateway hardware, but ML model deployment, training, and inference are not built in. If you need predictive maintenance or anomaly detection, you are building that pipeline yourself with separate tools.
Akraniq ships with on-device TinyML inference that runs at sub-200ms latency on microcontrollers. Models are trained on your fleet data and deployed via OTA to edge devices. This means anomaly detection, predictive maintenance scoring, and pattern recognition happen on the device itself — no cloud round-trip needed. For use cases like EV battery health monitoring or factory machine failure prediction, this is a meaningful technical advantage.
India-specific support, pricing, and WhatsApp alerts
ThingsBoard is a global product with support primarily in English through community forums and enterprise support contracts priced in USD. There is no INR pricing, no India-specific compliance templates, and no WhatsApp integration out of the box.
Akraniq is built in India for Indian hardware companies. Pricing is in INR. Support is direct — you talk to engineers, not a ticketing system. The platform includes WhatsApp and SMS alert delivery (critical for factory floor operators and fleet managers in India who do not use email). Compliance templates for BEE energy audits and CPCB environmental reporting are built in.
Compliance support: BEE and CPCB
If you operate a factory in India, you need to comply with Bureau of Energy Efficiency (BEE) norms and Central/State Pollution Control Board (CPCB/SPCB) regulations. ThingsBoard does not have templates or pre-built reporting for Indian regulatory bodies. You would need to build custom dashboards and export data manually.
Akraniq auto-generates compliance reports with time-stamped sensor data that auditors accept. Energy consumption is tracked per machine and per production line. Environmental parameters (emissions, effluent, noise) are monitored in real time with alerts that fire before you breach limits.
Verdict: which to choose
Choose ThingsBoard if you have a DevOps team, want to self-host for data sovereignty reasons, need maximum customization flexibility, or are building an IoT platform product yourself (white-labeling ThingsBoard PE).
Choose Akraniq if you are a hardware company or factory owner who wants to ship connected products without building cloud infrastructure. If your team is small, you need edge AI, you operate in India, or you want to be live in weeks instead of months, Akraniq is the faster and more cost-effective path.
The core question is not which platform has more features. It is whether your business should be spending engineering time on IoT infrastructure or on building better hardware. For most Indian SMBs, the answer is hardware.