Architecture comparison

Stella Ops vs Snyk

Snyk is primarily a SaaS security platform with strong scanner coverage.
Stella is a self-hosted release control plane that keeps decision evidence inside your boundary.

The deciding axis is where decisions and evidence live: in a vendor's cloud, or inside your boundary.

Last reviewed: 2026-07-26

Decision criteria

How this comparison is evaluated

Each vendor page is scored against the same five technical dimensions for consistent decision support.

  • Deployment model: Target coverage, self-hosting posture, and runtime assumptions.
  • Evidence model: How decisions are justified, signed, and exported for review.
  • Replayability: Ability to re-run historical decisions with identical inputs.
  • Offline capability: Behavior in disconnected or sovereign environments.
  • Policy model: Gate expressiveness, explainability, and workflow integration.

Proof and methodology links: Full market matrix | Evidence and Audit | Operations and Deployment | Decision Capsule spec

Two different categories

Snyk and Stella Ops sit at different points in the software lifecycle. A scanner scorecard would miss that. The material difference is where decisions are made and where their evidence lives.

Snyk — developer-security platform, delivered as SaaS

Snyk's center of gravity is the developer workflow: find issues in code and dependencies early, suggest fixes, check pull requests. Projects, results, and policies are managed in Snyk's cloud.

Stella Ops — release control plane, self-hosted

Stella's center of gravity is the release boundary: decide what may enter each environment, sign that decision, and watch that the running digest still matches the approved one. Decisions and evidence stay on your infrastructure.

Dimension-by-dimension comparison

Statements in the Snyk column are drawn from Snyk's public documentation, except where a cell explicitly attributes a statement to our own dated source review. Where neither states a capability, the entry says N/S — not stated — rather than an invented No. Cells describe each product's design scope as of the review date, not a quality ranking.

Deployment model

Snyk

Delivered as SaaS, with CLI, IDE, and CI integrations. Projects and results are managed in Snyk's cloud console; Snyk Broker connects the platform to code hosts behind your firewall.

Stella Ops

Self-hosted release control plane for non-Kubernetes estates: Docker Compose, SSH/WinRM hosts. Runs entirely on your infrastructure.

Evidence model

Snyk

Findings, fix advice, and reports live in the Snyk console and API — inside Snyk's platform.

Stella Ops

Every verdict is packaged as a signed Decision CapsuleA signed, exportable evidence bundle that seals every input and output of a release decision for offline audit and deterministic replay: inputs, policy, evidence, and signature in one verifiable object, stored inside your boundary.

Replayability

Snyk

Deterministic replay of past decisions is not stated in Snyk's public documentation (N/S). In our source audit of scanner CLIs, including Snyk CLI v1.1292, scan output depended on the advisory-database state at scan time.

Stella Ops

Every verdict carries a replay manifest. The same recorded inputs reproduce the same decision, and the replay can be verified offline.

Offline capability

Snyk

SaaS-first: scanning workflows need connectivity to Snyk's service for vulnerability data. Snyk Broker connects the cloud to private assets; it does not remove the cloud from the loop. A fully disconnected mode is not stated (N/S).

Stella Ops

Offline parity: sealed advisory snapshots, air-gap installation, and signature verification without any callback. The same capabilities work connected and disconnected.

Policy model

Snyk

Security and license policies applied in the Snyk platform; enforcement points are developer-workflow gates such as pull-request checks and CI steps.

Stella Ops

Policy gates at release promotion time. Verdicts are explainable, and unknowns are a first-class state — tracked and budgeted, never hidden.

Reachability: both offer it, the proofs differ

Snyk provides reachability analysis for a subset of ecosystems, computed within its cloud platform.

Stella Ops runs reachability analysis on your own infrastructure and packages each result as a DSSEDead Simple Signing Envelope - a simple, flexible standard for signing arbitrary data with cryptographic signatures-signed, portable proof. An auditor can verify it offline, without access to a Stella instance.

Reachability languages: Go, Java and .NET at compiler grade; Python, JavaScript, TypeScript, Rust, PHP and Ruby from source text.

Industry context: ~85% of critical container vulnerabilities are in inactive code (Sysdig 2024 Container Security Report).

How reachability proofs work →

Where the data goes

With Snyk

Code manifests, dependency graphs, and scan results flow through Snyk's cloud. Snyk Broker adds connectivity to code hosts behind your firewall; analysis and results still live in the platform. For many teams that trade is acceptable — it is what a managed platform is for.

With Stella Ops
  • ⬢ Scans, verdicts, evidence, and advisory data run and stay on your infrastructure.
  • ⬢ Air-gap parity: the same capabilities work from sealed advisory snapshots as from connected feeds.
  • ⬢ Evidence never leaves your boundary. Auditors verify signatures where the evidence lives.

Stella Ops is developed in Europe and its own infrastructure is hosted in Switzerland: self-hosted, air-gap capable. Your evidence never leaves your boundary, and no US-headquartered vendor sits in the path.

Related pages: Evidence and audit | Sovereign operation | Air-gap deployment guide

Fit guidance by deployment and evidence needs

When Snyk is the better choice

These are real strengths. If they map to your constraints, they should decide.

  • ⬢ Your security program lives in the developer workflow: IDE plugins, pull-request checks, and inline advice across editors and code hosts.
  • ⬢ You want broad language and SCA coverage across many repository types, maintained by a vendor.
  • ⬢ You want managed SaaS convenience: no servers to operate, updates and advisory feeds handled for you.
  • ⬢ You rely on mature fix-suggestion tooling, including automated upgrade pull requests.
  • ⬢ Your data-boundary requirements allow code metadata and scan results in a vendor cloud.

Stella Ops has no IDE plugins and does not open fix pull requests — its unit of work is the release, not the commit.

When Stella Ops is the better choice
  • ⬢ Evidence must stay inside your boundary: self-hosted, sovereign, or air-gapped estates.
  • ⬢ You gate releases, not only pull requests: promotion decisions for Compose, host environments.
  • ⬢ You need decisions you can re-run: every verdict carries a replay manifest and reproduces deterministically from the same inputs.
  • ⬢ Auditors need portable proof: signed capsules and reachability evidence they can verify without vendor access.
  • ⬢ You need to know what is running now: Watch compares running digests against approved digests and flags drift.
  • ⬢ You need gaps in the evidence to be visible in the report rather than absent from it.

Methodology: Feature statements come from each vendor's public documentation plus a source review of the release named on this page. Measured statements come from our own scanner benchmark, last scored on 3 July 2026: 872 scored projects from a 1,002-project open-source manifest, each built from source into a container image and scanned by Stella Ops, Trivy, Grype and osv-scanner from identical inputs. Scoring is against a rule-derived truth label — the advisory's own affected version range, or agreement between independent advisory lineages — never against another scanner's output. Findings the rules cannot resolve are excluded from precision and recall and reported as coverage instead; projects that failed to build, and scans that failed to run, are excluded rather than counted as wins. On that run Stella Ops led advisory-range recall and package discovery, and tied on confirmed false positives. We have no measured comparison against Snyk. The corpus, the scoring rules and the raw counts are published in the product repository under tools/benchmarks/stella-vs-trivy/. Capabilities change; verify current behaviour with each vendor. Replayability statements about Snyk are based on a source review of Snyk CLI v1.1292; all other Snyk cells reflect Snyk's public documentation.

If you believe any information is outdated or incorrect, please contact hello@stella-ops.org.

Evaluate sovereignty and evidence fit

Compare reachable-risk prioritization, offline operation, and release evidence requirements against your constraints.