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Cloud · head to head

Anyscale vs Frontegg

Anyscale logo

Anyscale

Cloud

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

From
Free
Rated
-
Frontegg logo

Frontegg

Cybersecurity

Customer identity and access management platform for SaaS applications

From
Free
Rated
-

The short version

  • Each has a real cost: Anyscale pricing for high-end H100/B200-class GPUs is not published and requires contacting sales.; Frontegg detailed per-unit pricing beyond the free tier is not published, requiring use of an online calculator or sales contact to estimate costs.
  • They diverge on capability: Anyscale covers Distributed model training, Frontegg covers Hosted login.

Where they differ

Only the attributes on which Anyscale and Frontegg actually diverge.

Attributes where Anyscale and Frontegg differ
AttributeAnyscaleFrontegg
CategoryCloudCybersecurity

Identical on both: starting price (Free), pricing model (usage-based), free tier (Yes), platforms (web, api), 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 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

Only in Frontegg

  • Hosted login
  • Enterprise SSO/SCIM
  • Multi-tenant organizations
  • Custom domains
  • M2M tokens
  • Fraud protection

What people use each for

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

Anyscale

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

Frontegg

  • Adding enterprise SSO/SCIM to a B2B SaaS productnot Anyscale
  • Multi-tenant customer identity managementnot Anyscale
  • White-labeled, custom-domain login experiencesnot Anyscale
  • Securing AI agent access to a SaaS product via Agen.conot Anyscale

Where each one falls short

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

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.

Frontegg

  • Detailed per-unit pricing beyond the free tier is not published, requiring use of an online calculator or sales contact to estimate costs.
  • Advanced fraud protection and multiple environments are Enterprise-only, unavailable on the Pay As You Go plan.
  • The 7,500 free monthly active users is comparatively modest next to some competitors' free tiers.
  • As a broader CIAM platform, it can be more complex to integrate than lighter-weight developer-first auth tools for smaller apps.

Pricing, plan by plan

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

Frontegg

Free
  • Pay As You GoFree
    • 7,500 monthly active users included
    • 5 enterprise connections (SSO/SCIM)
    • Unlimited organizations
  • Enterprise$undefined/month
    • Custom pricing
    • Multiple environments
    • Advanced fraud protection

Which should you pick?

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.

Choose Frontegg if

  • You need hosted login.
  • You want to start without paying.
  • You work on web, api.
  • You also want enterprise sso/scim.

Questions people ask

Is Anyscale or Frontegg better?
Neither clearly leads. Anyscale starts at Free and Frontegg at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
Which is cheaper, Anyscale or Frontegg?
Anyscale starts at Free and Frontegg at Free.
Does Anyscale or Frontegg run on more platforms?
Both run on web, api, so platform support will not decide this one for you.
Can I use Anyscale for free?
Both have a free tier, so you can try either at no cost before committing.
What is Anyscale best used for?
Anyscale is most often used for training large models on distributed gpu clusters, running batch inference and embedding jobs, preparing multimodal datasets at scale, post-training llms with reinforcement learning frameworks. Of those, training large models on distributed gpu clusters and running batch inference and embedding jobs are not what Frontegg is typically brought in for.
What can Anyscale do that Frontegg cannot?
Anyscale covers Distributed model training, Multimodal data curation, Batch embedding generation, Multi-cloud orchestration. Frontegg covers Hosted login, Enterprise SSO/SCIM, Multi-tenant organizations, Custom domains.

Answered from the vendors’ own pages

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
Frontegg: What does Frontegg cost?

Frontegg's Pay As You Go plan is free up to 7,500 monthly active users, after which pricing scales with users, enterprise connections and M2M tokens via an online calculator; Enterprise pricing is custom.

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
Frontegg: Is there a free plan and what are its limits?

Yes, the free Pay As You Go plan includes 7,500 monthly active users, 5 enterprise SSO/SCIM connections, unlimited organizations, and a custom domain.

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
Frontegg: How is usage metered?

Pricing is consumption-based, driven by monthly active users, monthly enterprise connections (SSO/SCIM), and monthly M2M tokens, with customers paying only for usage beyond the free 7,500-user threshold.

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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