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Developer Tools · head to head

Atlantis vs Speakeasy

Atlantis logo

Atlantis

Developer Tools

Runs Terraform plan and apply from pull request comments, self-hosted and free

From
Free
Free plan
Yes
Full reviewWebsite
Speakeasy logo

Speakeasy

Cybersecurity

AI control plane for governing enterprise agents, MCP servers, and skills

From
On request
Free plan
No
Full reviewWebsite

The short version

  • Only Atlantis has a free tier, so it costs nothing to try first.
  • Each has a real cost: Atlantis there is no company, no service level agreement and no paid support at any price, and the six maintainers are volunteers with day jobs, which some risk committees will not accept for a component holding production cloud credentials.; Speakeasy no self-serve pricing is published; every plan requires a sales conversation.
  • They diverge on capability: Atlantis covers Pull request plans, Speakeasy covers AI tool catalog.
  • Prices and features above were last checked on 31 August 2026.

Where they differ

Only the attributes on which Atlantis and Speakeasy actually diverge.

Attributes where Atlantis and Speakeasy differ
AttributeAtlantisSpeakeasy
Starting priceFreeOn request
Pricing modelOpen source, no licence feequote
Free tierYesNo
PlatformsLinux, Docker, Kubernetes, Self-hostedweb, api
CategoryDeveloper ToolsCybersecurity

Identical on both: user rating (Not yet rated).

What each one covers

Drawn from each product's published feature list. An absence here means we hold no record of it - not that the product lacks it.

Only in Atlantis

  • Pull request plans
  • Comment driven apply
  • Workspace locking
  • Policy checking
  • Multi-platform webhooks
  • Custom workflows

Only in Speakeasy

  • AI tool catalog
  • Per-agent identity
  • Role-based access control
  • Real-time policy enforcement
  • Audit logging
  • MDM and SSO integration

What people use each for

The jobs each tool is most often brought in to do.

Atlantis

  • Making Terraform review meaningful by putting the actual plan output in front of the approvernot Speakeasy
  • Removing local applies and the credential sprawl that comes with every engineer holding production keysnot Speakeasy
  • Getting pull request driven infrastructure without paying a per-user subscription for a hosted platformnot Speakeasy
  • Enforcing Conftest policies as a blocking check before an apply can runnot Speakeasy

Speakeasy

  • Governing AI agents at enterprise scalenot Atlantis
  • Preventing shadow AI tool sprawlnot Atlantis
  • Enforcing least-privilege access for agentsnot Atlantis
  • Auditing AI tool call activity for compliancenot Atlantis

Where each one falls short

Documented limitations, not opinions. Every one is a constraint you would hit in normal use.

Atlantis

  • There is no company, no service level agreement and no paid support at any price, and the six maintainers are volunteers with day jobs, which some risk committees will not accept for a component holding production cloud credentials.
  • The security surface is inherently sharp, because it is an internet-reachable webhook endpoint that executes applies with privileged credentials, gated by pull request comment authorisation that is coarse next to a real policy engine.
  • It is stateful, holding a working directory and lock database on local disk, so high availability and horizontal scaling are awkward and you own upgrades, webhook plumbing, secret rotation and the host itself.
  • It lacks the features that distinguish the commercial alternatives, with no native drift detection, no cost estimation, no managed state interface and no policy engine beyond the Conftest integration.
  • Terragrunt and monorepo layouts are not first-class, requiring hand-written custom workflows and repository configuration that becomes a growing maintenance burden as the number of repositories increases.

Speakeasy

  • No self-serve pricing is published; every plan requires a sales conversation.
  • The product pivoted away from its original SDK-generation offering, so past documentation and customers built on that use case are no longer the focus.
  • Requires integration with an existing identity provider such as Okta or Entra ID to be useful, so it is not a standalone solution.
  • No published free tier or trial pricing was found.

Pricing, plan by plan

Atlantis

Free
  • AtlantisFree
    • Apache-2.0, no usage limits and no seat count
    • No commercial edition and no paid support tier
    • Community support through GitHub and the CNCF Slack channel

Speakeasy

On request
  • Enterprise$undefined/mo
    • Custom pricing
    • AI tool catalog and visibility
    • Per-agent identity and access control

Which should you pick?

Choose Atlantis if

  • You need pull request plans.
  • You want to start without paying.
  • You work on Linux, Docker, Kubernetes, Self-hosted.
  • You also want comment driven apply.
Atlantis review

Choose Speakeasy if

  • You need ai tool catalog.
  • You work on web, api.
  • You also want per-agent identity.
Speakeasy review

Questions people ask

Is Atlantis or Speakeasy better?
Neither clearly leads. Atlantis starts at Free and Speakeasy at On request, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
Which is cheaper, Atlantis or Speakeasy?
Atlantis has a free tier; the other does not. Paid plans start at Free for Atlantis and On request for Speakeasy.
Does Atlantis or Speakeasy run on more platforms?
Atlantis runs on Linux, Docker, Kubernetes, Self-hosted. Speakeasy runs on web, api.
Can I use Atlantis for free?
Yes. Atlantis has a free tier, so you can try it without paying. Speakeasy starts at On request.
What is Atlantis best used for?
Atlantis is most often used for making terraform review meaningful by putting the actual plan output in front of the approver, removing local applies and the credential sprawl that comes with every engineer holding production keys, getting pull request driven infrastructure without paying a per-user subscription for a hosted platform, enforcing conftest policies as a blocking check before an apply can run. Of those, making terraform review meaningful by putting the actual plan output in front of the approver and removing local applies and the credential sprawl that comes with every engineer holding production keys are not what Speakeasy is typically brought in for.
What can Atlantis do that Speakeasy cannot?
Atlantis covers Pull request plans, Comment driven apply, Workspace locking, Policy checking. Speakeasy covers AI tool catalog, Per-agent identity, Role-based access control, Real-time policy enforcement.

Answered from the vendors’ own pages

Atlantis: Is there a company behind Atlantis?

No. It runs as a series of LF Projects under the Linux Foundation and is maintained by volunteers. There is no vendor to buy support from and no service level agreement.

Speakeasy: How much does Speakeasy cost?

Speakeasy offers an Enterprise tier with features including SaaS catalog integrations, custom server creation, code mode efficiency, and serverless hosting. No specific pricing is published; interested parties contact the company to discuss pricing.

Source
Atlantis: Is it a CNCF project?

No. It uses a channel in the CNCF Slack, which is often misread as membership, but the project sits under LF Projects rather than the CNCF.

Speakeasy: What is included in Speakeasy's Enterprise plan?

The Enterprise plan includes SaaS catalog integrations, custom server creation, code mode efficiency, and serverless hosting. Customers contact Speakeasy to discuss their specific pricing for these features.

Source
Atlantis: Does it work with OpenTofu?

Yes, there is a dedicated integration guide alongside Terraform, and it also has configuration for working with hosted Terraform backends.

Atlantis: What does it not do that a paid platform does?

Drift detection, cost estimation, a managed state and run interface, and a real policy engine. Atlantis does pull request plan and apply well and stops there.

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