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Compare Dataplicity with other device and IoT platforms #
These are for technical buyers. They are not feature-score marketing pages.
Compare what each product actually expects you to own, and what you still have to build after you adopt it. Shared labels like remote access, OTA, monitoring, or rules do not make two products the same.
Every page is checked against current first-party vendor docs, and says when the other product is the better fit.
Choose the comparison that matches your decision #
| If you are deciding between... | Start here |
|---|---|
| Secure private networking vs a broader Linux product/fleet operating layer | Dataplicity vs Tailscale |
| Specialist software/OS OTA vs broader post-shipment operations | Dataplicity vs Mender |
| One vendor-managed host OS vs choosing your own device image | Dataplicity vs balena |
| Declarative Linux configuration management vs connected-product/customer operations | Dataplicity vs qbee |
| AWS-native edge/cloud building blocks vs an integrated product operating layer | Dataplicity vs AWS IoT and Greengrass |
| Dashboard/digital-twin/rule platforms vs Linux device operations plus customer product | Dataplicity vs IoT application platforms |
How we write these #
If someone who knows the other product cold would call bullshit, the page isn't done.
So:
- claims about other products come from current first-party docs, not blog roundups
- we compare what ships today with what ships today, not our roadmap against their docs
- missing from public docs is not the same as
they cannot do this - matching feature names don't mean matching jobs; architecture and who owns the ops matter more
- we skip other products' pricing unless it's current, sourced, and actually helps you decide
- where Dataplicity is weaker, we say so
- where Dataplicity is stronger, we say so straight
- if the other product is the better fit, the page should say that out loud
Looking fair matters less than being usable.
Rough map #
Simplified centers of gravity, not claims that each product can do only one thing:
| Platform | Main job |
|---|---|
| Tailscale | Identity-aware private networking and resource reachability |
| Mender | Secure software and OS update lifecycle across Linux and MCU devices, plus device-management add-ons |
| balena | Managed embedded OS, containers, releases, and fleet lifecycle |
| qbee | Declarative Linux configuration, software, container, and RAUC management with monitoring and remote access |
| AWS IoT / Greengrass | Broad composable cloud and edge services and runtime |
| ThingsBoard-style IoT application platforms | Telemetry, entities and digital twins, dashboards, rules, and customer applications |
| Dataplicity | Linux device support and fleet ops, extended into the product and customer layer |
Read the detailed page before deciding. Overlap is real, and in several architectures two products can sit together cleanly.
Two things that changed recently #
Both affect more than one page, so they are worth stating once.
Dataplicity publishes a CM5 OS quickstart, and still does not require it. Dataplicity OS is a Yocto reference image for the Raspberry Pi Compute Module 5 with the agent, RAUC A/B slots, and persistent state already integrated. Shipping products normally bring their own Linux image; Dataplicity OS is a ready-made starting point and worked example, not the sanctioned OS for every deployment. Which hardware Dataplicity manages is set by the agent prerequisites. Comparisons against OS-owning platforms are therefore about whether the platform requires its OS, not about whether an image exists.
Several adjacent platforms have grown into each other's territory. Mender Enterprise now offers Service Provider parent and child tenancy. qbee ships first-class RAUC orchestration, container management, and on-demand device comparison. ThingsBoard IoT Gateway has a browser remote shell. AWS has retired or moved to maintenance a number of IoT services, including Fleet Hub. Each comparison page reflects these rather than repeating older positioning.
If you are not yet choosing between platforms #
Start with the architecture decision instead:
- What does Dataplicity actually replace?
- Should we build the connected-product stack ourselves or buy it?
- Can I add Dataplicity to an existing Linux product without replacing it?
- What business logic belongs in Dataplicity, on the device, or in our backend?
Keeping these current #
These products change. Each comparison carries a review date and should be rechecked when a material capability, architecture, packaging model, or Dataplicity capability changes.
| Comparison | Last reviewed |
|---|---|
| Dataplicity vs Tailscale | 7 September 2026 |
| Dataplicity vs Mender | 7 September 2026 |
| Dataplicity vs balena | 7 September 2026 |
| Dataplicity vs qbee | 7 September 2026 |
| Dataplicity vs AWS IoT and Greengrass | 7 September 2026 |
| Dataplicity vs IoT application platforms | 7 September 2026 |
If a comparison goes stale, update the evidence and the conclusion. Do not keep an old claim because it favours Dataplicity.