On-premise visual testing is a setup where the visual regression tool runs entirely on your infrastructure — your machine, your server, your data center — without any data passing through external servers.
The cloud is convenient. But when your screenshots contain customer data, confidential interfaces, or unreleased mockups, "convenient" isn't enough as an argument. You need control.
Who needs on-premise
Not everyone. If you're testing a public marketing site, the cloud works perfectly. But certain situations make on-premise indispensable.
Regulated industries — banking, insurance, healthcare, defense — have legal obligations on data localization. An auditor who asks "where are your test screenshots stored?" expects a more precise answer than "somewhere on AWS us-east-1." For a complete guide on regulated environments, see our dedicated article.
Companies subject to GDPR that test interfaces containing personal data. A name visible in a dashboard, an address in a pre-filled form — the screenshot is personal data.
Software vendors testing confidential interfaces — unannounced features, in-progress redesigns. Sending these screenshots to a third-party cloud means handing your product roadmap to a vendor.
Companies with strict security policies. Some IT departments simply forbid sending data to non-approved external services. If your visual testing tool is cloud-based, it's blocked.
What on-premise actually changes
With a cloud tool, the flow is: your machine → internet → vendor's server → comparison → result returned. Your screenshots transit, are stored, and are processed outside your control.
With an on-premise tool, everything happens on-site. Capture, comparison, baseline storage, results display — everything stays on your infrastructure. The only network traffic is between your machine and your website.
It's a radical change in attack surface. No data in transit to the outside, no third-party storage, no leak risk. This shift reduces the hidden cost of visual bugs tied to compliance violations or accidental disclosure.
On-premise options in 2026
Delta-QA offers on-premise at two levels. The Desktop version is de facto on-premise: everything runs on your machine, no data leaves. For teams, the On-Premise version deploys on your servers with internal results sharing.
Playwright and BackstopJS are open source and run locally by default. For a complete comparison, see our 2026 visual testing tools guide. But they require developer skills for installation and maintenance.
The major SaaS tools (Applitools, Percy, Chromatic) are fundamentally cloud-based. Applitools offers an on-premise version of Eyes, but it's reserved for Enterprise plans with opaque pricing. Percy and Chromatic don't have on-premise options.
The performance/control tradeoff
The main argument against on-premise is cross-browser performance. Cloud tools like Percy or Applitools run your tests on massive browser farms — hundreds of combinations in parallel. On-premise, you're limited to the browsers installed on your infrastructure.
It's a real tradeoff. If you need to test 50 browser/resolution combinations in parallel, the cloud has an objective advantage.
But if your needs are more modest — Chrome, Firefox, and Safari on desktop and mobile — an on-premise installation is more than enough. For the challenges of multi-browser testing, see our cross-browser visual testing guide. And the control gain is worth the parallelization sacrifice.
Pair this with proper visual regression testing practices and you get the best of both worlds: data sovereignty without sacrificing automation rigor.
When the cloud is still the right choice
Let's be fair to the SaaS players. Cloud visual testing isn't inherently bad. For a SaaS startup testing a public-facing product with no sensitive data, the cloud is faster to set up, faster to run, and requires zero infrastructure investment. Massive browser farms, automatic scaling, and integrated dashboards are real benefits.
The problem isn't the cloud itself. It's the assumption that everyone's data should live there. Industries with regulatory constraints, government agencies, defense contractors, and healthcare providers can't operate under that assumption — and shouldn't be forced into a SaaS-only world.
What to look for in an on-premise visual testing tool
If you've concluded on-premise is the right path, here's what to evaluate.
Installation footprint. A heavy install with multiple dependencies becomes a maintenance burden. Look for tools that ship as a single binary or container with minimal external requirements.
Baseline storage format. Where and how are your reference images stored? A flat file system (PNGs in a folder you control) is easier to back up, version, and migrate than a proprietary database.
CI/CD integration. On-premise doesn't mean offline. Your tool must integrate with your existing pipeline (Jenkins, GitLab CI, GitHub Actions self-hosted) without requiring outbound connections to vendor APIs.
Update mechanism. How do you receive updates? Scheduled releases you control beat forced updates pushed by a vendor.
License model. Beware "on-premise but phones home for licensing." A truly on-premise tool either works fully offline or has a clear, optional licensing endpoint that can be air-gapped if needed.
Documentation for air-gapped deployments. If your environment has no internet access at all, the tool must work and the docs must explicitly cover that scenario.
Migration considerations: cloud to on-premise
Moving from a cloud visual testing tool to on-premise isn't a one-click operation. It involves baseline migration, pipeline reconfiguration, and often a tool change.
If you're using Playwright with cloud-based snapshot storage, the migration is mostly a matter of pointing snapshots to local storage. The test code stays the same. If you're using a SaaS-only tool like Percy, you need to rebuild your tests in a different framework — Delta-QA, BackstopJS, or Playwright.
Plan for a transition period where both systems run in parallel to validate that the on-premise setup catches the same regressions. Don't decommission the cloud tool until the on-premise system has been catching real regressions for at least two release cycles.
FAQ
Is on-premise more expensive than cloud?
Not necessarily. Delta-QA Desktop is free. Open source tools are too. The cost of on-premise is mainly infrastructure maintenance time, not license price. For larger deployments, you save on per-capture SaaS billing — visual testing without a meter.
Can you migrate from cloud to on-premise?
Yes, but it depends on the tool. If you use a pure SaaS (Percy, Chromatic), migration means changing tools. If you use Playwright, the code stays the same — only the execution environment changes.
Is on-premise compatible with CI/CD?
Yes. Playwright and BackstopJS integrate natively with CI pipelines. Delta-QA also offers CI integration for paid versions. The key is choosing a tool that doesn't require outbound vendor API calls.
How do you manage updates in on-premise?
Like any installed software. You choose when to update, you test the new version internally before deploying. No forced updates like with SaaS. This is critical for regulated environments where every dependency change must be audited.
Does on-premise mean slower tests?
Not inherently. Comparison speed is bound by your hardware, not by network round-trips to a vendor. For a single test run, on-premise is often faster than cloud because there's no upload step. The tradeoff appears at scale: massive parallel browser farms favor the cloud.
What about on-premise for cross-browser testing?
Possible but limited. You can run Chrome, Firefox, and Safari locally. For exotic combinations (older Edge, mobile Safari on iOS, Samsung Internet), you typically need a browser farm — cloud or on-premise via a service like Selenium Grid.
Can on-premise tools update baselines automatically?
Yes, with the same workflows as cloud. The difference is that the baseline files live in your version control or your storage, fully under your control. You can review, audit, and roll back baseline changes like any other artifact.
On-premise isn't a step backward. It's a clear-eyed choice for organizations that take confidentiality seriously. The cloud is excellent when data isn't sensitive. When it is, keeping full control isn't paranoia — it's professionalism.