Rainforest is already no-code. Why would I need Manta?

No-code removes the coding, not the test. You still author each case and maintain the suite. Manta removes the authored suite — it re-explores and re-learns the app on every run.

Does Manta run tests on isolated machines like Rainforest?

Manta runs in managed cloud infrastructure. Rainforest's model of dedicated virtual machines per run gives you more control over the execution environment.

Which is better for a larger QA team?

If you want structured test management and a curated no-code suite that several people maintain, Rainforest is built for that. If the goal is broad coverage without that overhead, Manta fits better.

Can Manta replace our Rainforest suite?

It can replace the broad regression-coverage part. Teams that rely on Rainforest's structured test cases usually keep those and add Manta for autonomous breadth and speed.

Which is faster to first result?

Manta — the first run needs a URL. Rainforest needs test cases built before it reports.

Doesn't Rainforest also use AI?

Yes — Rainforest's AI drafts test steps for you and self-heals them when the UI changes, but you still own a suite: specific cases someone reviews and updates. Manta's core coverage needs no suite at all; for flows you want checked every run, you describe one in plain English and Manta saves and re-runs it, but there's no step editor, no locators, and nothing to keep in sync with the UI.

Manta vs Rainforest QA

Rainforest QA gives you a no-code editor and managed execution environments to build and run an end-to-end suite. Manta doesn't have a suite: it explores your app on its own each run and adds plain-English checks for specific flows. Choose Rainforest for a structured, managed no-code suite; choose Manta to get coverage without authoring and curating one.

Manta is not affiliated with, sponsored by, or endorsed by Rainforest QA. All trademarks are property of their respective owners. Feature and pricing details reflect our research as of the date above and may not reflect recent changes — see Rainforest QA's site for current information.

	Manta	Rainforest QA
Model	Usage-based credits per run	Paid SaaS, quote-based
Free tier	5 run credits every month, no card	Free trial; no permanent free tier
How tests are created	Autonomous exploration + plain-English plans	Build no-code test cases in the editor, with AI-assisted drafting
CI/CD	API-triggered runs on the roadmap	Available today
Onboarding	A URL	Build the suite, organise steps, wire integrations

What Rainforest QA is

Rainforest QA is a no-code test-automation platform. You build end-to-end test cases in a visual editor with reusable steps, and Rainforest runs them on managed virtual machines for consistent, isolated execution. Its AI drafts test steps and self-heals them when locators change, and a crowdsourced marketplace of human testers is available for exploratory coverage. It includes test management, run history, reporting, and CI/CD integration, and is aimed at teams that want a structured QA operation without writing test code.

You build and curate the suite — with AI assistance on drafting and upkeep; Rainforest runs and manages it.

What Manta is

Manta is an autonomous testing agent. Give it a URL and it explores your app like a user, builds a behavioural model, and reports what broke — with screenshots and reproduction steps. There's no suite to author. For flows you want checked every release, you describe them in plain English. See the autonomous testing guide.

How they actually differ

	Manta	Rainforest QA
How tests start	Autonomous exploration from a URL	You build no-code test cases
What you maintain	Nothing	A curated no-code suite
Execution	Managed cloud	Managed virtual machines per run
Coverage growth	Every run reaches more of the app	Only where a test was built
Finds the unexpected	Yes	No — runs the built set
When the app changes	Re-explores automatically	AI self-heals steps; suite still needs review
Human testers	Not offered	Optional crowdsourced marketplace
CI/CD	On the roadmap	Available today

Where Manta pulls ahead

No suite to build or curate. A no-code editor lowers the cost of authoring; it doesn't remove the suite you then organise and maintain. Manta re-explores each run. Why script maintenance doesn't scale applies.

Breadth. Every Manta run maps more of the app, including flows nobody built a test for — which matters as features arrive faster than tests.

Time to value. Rainforest needs test cases first. Manta needs a URL — first run here.

Where Rainforest QA is the stronger choice

Structured test management. If several people maintain a curated suite and you need organisation, history, and reporting, Rainforest is built for that.
AI-assisted authoring and self-healing. Its AI drafts test steps and adjusts them when locators change, cutting some suite-maintenance work.
Crowdsourced testers on demand. A marketplace of human testers can run exploratory sessions alongside the automated suite.
Controlled execution environments. Dedicated VMs per run give you more isolation and control than a shared managed runner.
Explicit, reviewable steps and precise assertions.
CI/CD today — available now, while Manta's API triggers are still coming.

Using them together

Keep Rainforest for structured, precise test cases your QA team maintains; add Manta for autonomous regression breadth and faster feedback between formal test cycles.

The bottom line

Rainforest QA suits teams that want a managed, structured no-code suite. Manta suits teams that would rather not build one — an agent that re-learns the app each run, with plain-English checks where precision matters.

Manta vs Rainforest QA

Where Manta wins

Where Rainforest QA wins

Pricing at a glance