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Cybersecurity · head to head

Akeyless vs Anyscale

Akeyless logo

Akeyless

Cybersecurity

Runtime identity security at agentic scale

From
Free
Rated
-
Full reviewWebsite
Anyscale logo

Anyscale

Cloud

Platform for scaling AI and data workloads on Ray, built by Ray's creators

From
Free
Rated
-
Full reviewWebsite

The short version

  • Each has a real cost: Akeyless pricing is usage-based and complex, requires sales consultation; Anyscale pricing for high-end H100/B200-class GPUs is not published and requires contacting sales.
  • They diverge on capability: Akeyless covers Secrets management, Anyscale covers Distributed model training.

Where they differ

Only the attributes on which Akeyless and Anyscale actually diverge.

Attributes where Akeyless and Anyscale differ
AttributeAkeylessAnyscale
Pricing modelUsage-based pricing units that vary by product moduleusage-based
PlatformsCloud, Hybrid, On-Premisesweb, api
CategoryCybersecurityCloud

Identical on both: starting price (Free), free tier (Yes), 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 Akeyless

  • Secrets management
  • Machine identity
  • AI agent identity
  • Certificate management
  • Privileged access management
  • Multi-vault governance
  • Encryption and KMS
  • Password manager

Only in Anyscale

  • Distributed model training
  • Multimodal data curation
  • Batch embedding generation
  • Multi-cloud orchestration
  • Governance and security
  • Observability
  • Bring-your-own-cloud deployment
  • Elastic GPU allocation

What people use each for

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

Akeyless

  • Securing AI agents with dedicated identity trackingnot Anyscale
  • Managing machine-to-machine credentials at scalenot Anyscale
  • Automating PKI and certificate lifecyclenot Anyscale
  • Implementing just-in-time privileged accessnot Anyscale

Anyscale

  • Training large models on distributed GPU clustersnot Akeyless
  • Running batch inference and embedding jobsnot Akeyless
  • Preparing multimodal datasets at scalenot Akeyless
  • Post-training LLMs with reinforcement learning frameworksnot Akeyless

Where each one falls short

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

Akeyless

  • Pricing is usage-based and complex, requires sales consultation
  • Free tier is very limited with restricted access
  • No transparent pricing published for enterprise features
  • Pricing model varies significantly by product module

Anyscale

  • Pricing for high-end H100/B200-class GPUs is not published and requires contacting sales.
  • Built around Ray, so teams not already using Ray face a steeper adoption curve than single-purpose inference APIs.
  • No published fixed-fee subscription tier; all listed pricing is usage-based on-demand compute.

Pricing, plan by plan

Akeyless

Free
  • FreeFree
    • Limited feature access
    • Restricted usage quotas
  • Enterprise$undefined/custom
    • Custom pricing based on usage
    • Unlimited resource quotas
    • Full feature access

Anyscale

Free
  • Pay-as-you-go$undefined/mo
    • CPU only from $0.0135/hr
    • NVIDIA T4 $0.5682/hr
    • NVIDIA L4 $0.9542/hr
  • Committed contract$undefined/mo
    • Volume discounts
    • Use of existing GPU reservations

Which should you pick?

Choose Akeyless if

  • You need secrets management.
  • You want to start without paying.
  • You work on Cloud, Hybrid, On-Premises.
  • You also want machine identity.
Akeyless review

Choose Anyscale if

  • You need distributed model training.
  • You want to start without paying.
  • You work on web, api.
  • You also want multimodal data curation.
Anyscale review

Questions people ask

Is Akeyless or Anyscale better?
Neither clearly leads. Akeyless starts at Free and Anyscale at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
Which is cheaper, Akeyless or Anyscale?
Akeyless starts at Free and Anyscale at Free.
Does Akeyless or Anyscale run on more platforms?
Akeyless runs on Cloud, Hybrid, On-Premises. Anyscale runs on web, api.
Can I use Akeyless for free?
Both have a free tier, so you can try either at no cost before committing.
What is Akeyless best used for?
Akeyless is most often used for securing ai agents with dedicated identity tracking, managing machine-to-machine credentials at scale, automating pki and certificate lifecycle, implementing just-in-time privileged access. Of those, securing ai agents with dedicated identity tracking and managing machine-to-machine credentials at scale are not what Anyscale is typically brought in for.
What can Akeyless do that Anyscale cannot?
Akeyless covers Secrets management, Machine identity, AI agent identity, Certificate management. Anyscale covers Distributed model training, Multimodal data curation, Batch embedding generation, Multi-cloud orchestration.

Answered from the vendors’ own pages

Akeyless: What pricing model does Akeyless use?

Akeyless uses usage-based pricing units that vary by product. For example, Secrets Management is priced by clients, Certificate Management by managed certificates, Encryption by transactions, and PAM by users. Contact sales for a custom quote.

Source
Anyscale: How much does Anyscale cost?

Anyscale bills on a pay-as-you-go basis: CPU compute starts at $0.0135/hr, NVIDIA T4 at $0.5682/hr, and NVIDIA A100 at $4.9591/hr, with committed contracts offering volume discounts for larger workloads.

Source
Akeyless: Does Akeyless support hybrid deployment?

Yes, Akeyless offers Pure SaaS cloud-managed deployment and Hybrid SaaS with on-premise gateways and zero-knowledge encryption for sensitive environments.

Source
Anyscale: Is there a free trial or credit?

New users receive $100 in Anyscale credits to explore the platform, which can be applied toward starter templates and on-demand compute usage.

Source
Akeyless: How does Akeyless handle AI agent identities?

Akeyless provides dedicated AI agent identity tracking with runtime access control, allowing organizations to manage AI agent access separately from human and machine identities.

Source
Anyscale: How is usage billed?

Hosted usage is billed hourly per compute instance type and invoiced monthly by credit card; bring-your-own-cloud usage is invoiced through Anyscale or the customer's cloud marketplace account.

Source
Anyscale: What support is included?

Hosted plans include business-hours support with up to 5 case submissions, while bring-your-own-cloud deployments get 24x7 enterprise SLAs and unlimited case submissions.

Source
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