Syncronis manages Linux fleets: configuration, packages and scripts, delivered from one console to every machine you run.
You are probably here because something you already run is not keeping up. So this is the honest version of the comparison: where Syncronis genuinely differs, and which of these tools you should buy instead of it.
How fast a change arrives, what happens to the machines that missed it, what you can find out afterwards, and where your data sits.
delivery
Not when someone remembers to run the playbook. Not at the next poll, five or fifteen minutes from now. Syncronis holds an open connection to every machine, so publishing is the delivery. Every other tool on this page waits for one or the other.
Across ten thousand machines that is the difference between making a change and scheduling a maintenance window for it.
resilience
A machine that was powered down, or on a link that dropped, comes back, compares what it has against what it should have, and takes the difference. You don't write the retry loop, and you don't schedule a second pass to sweep up the stragglers.
Something that ran and failed waits for you to press retry, deliberately: a script that quietly re-runs a failure hides the problem instead of showing it.
visibility
You read them in the console, filtered by machine, package or outcome. Underneath, each event is one structured line with the same fields every time — which is exactly why it can still be filtered months later, instead of being a wall of run output you scroll through once and never open again.
ownership
We coordinate; a vault you own carries the files and the logs. Hosted or fully self-hosted, it is the same binary and the same boundary. In a regulated fleet, that is usually the whole decision.
Where each tool sits is a design choice, not a defect. Read this as positioning, not a verdict.
| Syncronis | Ansible | Puppet | Chef | |
|---|---|---|---|---|
| What you write | The bash you already have. The rollout is built in the console. | YAML playbooks + Jinja templates | Puppet DSL manifests | Ruby DSL recipes |
| New language to learn | None | YAML + Jinja | Puppet DSL | Ruby DSL |
| Hand-edited config files | None — JSON underneath, for the API when you want it | Yes, that is the interface | Yes, that is the interface | Yes, that is the interface |
| Agent model | Persistent (push) | Agentless (SSH) | Agent (pull) | Agent (pull) |
| Access into the machine | None inbound — the agent dials out, identity is a client certificate | Inbound SSH from a control node, with keys to distribute | None inbound — agent dials out | None inbound — agent dials out |
| Change reaches fleet | On publish, near-instant | When you run it | Poll interval | Poll interval |
| Machines that were offline | Catch up by themselves on reconnect | Fail the run — you write and schedule the retry | Catch up on next poll | Catch up on next poll |
| What you get back | A console view, backed by one JSON line per event — still filterable months later | Run output, verbose by default | Agent run reports | Agent run reports |
| Package delivery | Built-in, delta transfer | Copy / modules | File-based | File-based |
| Config templating | Yes (vault build) | Yes (Jinja2) | Yes | Yes |
| Desired-state / drift correction | On demand, fleet-wide: a version bump re-runs it. Not on a timer. | Whenever you run it | Continuous | Continuous |
| Syncronis | Mender | Balena | qbee | |
|---|---|---|---|---|
| Built for | Linux fleets, any size | Embedded OTA | Container edge | IoT / embedded |
| Change reaches fleet | On publish, near-instant | Poll interval | Poll interval | Poll interval |
| Your data on your infra | Yes (vault) | Vendor / hosted | Vendor cloud | Vendor hub |
| Self-host | First-class, same binary | On-prem (enterprise) | openBalena (partial) | Enterprise only |
| Delivers | Scripts + packages | A/B image OTA | Containers | Declarative config |
| Package format | Folder + bash entry script | Signed artifact (.mender) | Container image | Declarative bundles |
| Transport | Push (gRPC) | Pull | Pull | Pull (HTTPS) |
| Behind a 443-only proxy | Yes — ports are yours to set, agent honours HTTPS_PROXY | Yes | Yes | Yes |
| Rollout control | Targeting, windows, canary, version history | Phased rollouts (Ent) | Release pinning | Group config |
| Deploy preview | Simulate targets first | — | — | — |
First, what each one is genuinely good at. Then where Syncronis takes a different road.
Better than us at
A vast library of ready-made modules for things that are not Linux boxes: provisioning cloud resources, configuring network gear, driving Windows. Someone else already wrote those API calls, and for ad-hoc orchestration across mixed infrastructure that is hard to beat.
Where we differ
Ansible runs when someone runs it, over SSH, from a machine that can reach every target at that moment. Syncronis keeps a live agent on each machine and sends the change the second you publish it.
On a thousand machines with unreliable links, whatever is unreachable simply fails the run, and catching those up is a retry loop you write and schedule. Here they catch up by themselves when they reconnect.
Your bash keeps working — it runs the scripts you already have — and reports back one structured line per event instead of pages of run output.
Integration points the other way round: Ansible reaches out through its modules, while Syncronis exposes its own documented HTTP API. Everything the console does, your automation can do, so it slots into the pipeline you already run instead of becoming it.
Better than us at
True desired-state enforcement with drift correction and mature compliance reporting. If a machine wanders from the declared state, they pull it back and can prove it.
Where we differ
Both bring a language of their own and a central master to operate, which in practice means someone whose job is keeping the config-management system healthy.
Syncronis is one binary and a rollout you assemble in the console: pick the package, pick the targets, set the window. The person who runs the fleet does not have to become a configuration engineer first.
Better than us at
A/B image OTA with atomic rollback, and deep Yocto/Buildroot integration. If you ship firmware images to devices, that is the correct shape of tool and Syncronis does not compete with it.
Where we differ
Syncronis manages configuration, packages and scripts on running Linux systems rather than replacing the image underneath them. Different layer, different job.
Better than us at
A polished developer flow for container fleets, from build to device, with their OS and cloud doing the heavy lifting.
Where we differ
Balena comes as a package deal: its operating system and its cloud arrive with the product, and you take both or neither.
Syncronis runs on the Linux distribution you already chose, and your packages, logs and credentials stay on a vault you own.
Better than us at
The closest overlap, and genuinely strong on embedded specifics Syncronis does not do: A/B image updates, CVE scanning and TPM key sealing. Everything they do also arrives on one endpoint out of the box, where we ask you to choose the ports.
Where we differ
Syncronis pushes over a live stream instead of polling, so a change lands in seconds rather than at the next interval.
The data plane is a vault on your hardware rather than their hub, and self-hosting is the same binary as the hosted product, not a separate enterprise tier.
Locked-down networks are fine either way: our ports are configurable, so the agent connection can run on 443, and it honours HTTPS_PROXY and NO_PROXY like anything else on the machine.
A tool that fits everything fits nothing. Five cases where you should buy something else, and we would rather you heard it here than three weeks into a trial.
You need atomic image updates with rollback at the firmware layer. That is Mender or RAUC territory, not ours.
Your fleet is containers and you want the vendor's OS and build pipeline to come with it. Balena is built for exactly that.
You need something that goes looking for drift on its own, on a schedule you did not have to think about, and can prove it for an audit. That is Puppet and Chef. Syncronis re-applies when you say so rather than on a timer of its own: bumping a package version re-runs it across the fleet in seconds, including on machines that were offline, so levelling everything is one publish away. Nothing hunts for drift in between, and nothing reads inside your scripts to tell you what they enforced.
You want ready-made modules for cloud provisioning, network appliances or Windows. We have a full HTTP API and we will run any script you write, but nobody has written those integrations for you. That library is Ansible's, not ours.
You want the tool to understand what your scripts and packages actually do — parse their output, verify the result, detect drift inside the application. Syncronis runs what you give it and reports whether it succeeded; it deliberately does not read inside it.
What is left is what Syncronis was built for: a Linux fleet that has to stay in sync and run real work, operated by the people who already run it — without a new language, a platform team, or your data on someone else's servers. The shape of that fleet differs by industry, and edge, retail, server fleets and MSPs each have their own page.
The first five machines are free, permanently, and pricing after that is per machine. A comparison table is an argument; an install takes about two minutes and settles it.