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Anyscale vs Sprinklr

Anyscale logo

Anyscale

Cloud

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

From
Free
Rated
-
Full reviewWebsite
Sprinklr logo

Sprinklr

Social Media

Unified customer experience management platform

From
On request
Rated
-
Full reviewWebsite

The short version

  • Only Anyscale has a free tier, so it costs nothing to try first.
  • Each has a real cost: Anyscale pricing for high-end H100/B200-class GPUs is not published and requires contacting sales.; Sprinklr no specific pricing plans or rates published online; customers must contact Sprinklr directly through sales channels to obtain quotes.
  • They diverge on capability: Anyscale covers Distributed model training, Sprinklr covers Live chat.

Where they differ

Only the attributes on which Anyscale and Sprinklr actually diverge.

Attributes where Anyscale and Sprinklr differ
AttributeAnyscaleSprinklr
Starting priceFreeOn request
Pricing modelusage-basedsubscription
Free tierYesNo
Platformsweb, apiWeb, Mobile app, IOS, Android
CategoryCloudSocial Media
FoundedUnknown2009

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 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 Sprinklr

  • Live chat
  • Email support
  • Social media management
  • AI-powered routing
  • Salesforce
  • HubSpot
  • Slack
  • Microsoft Teams

What people use each for

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

Anyscale

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

Sprinklr

  • Customer engagementnot Anyscale
  • Lead generationnot Anyscale
  • Customer supportnot Anyscale
  • Sales automationnot 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.

Sprinklr

  • No specific pricing plans or rates published online; customers must contact Sprinklr directly through sales channels to obtain quotes.

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

Sprinklr

On request
  • Professional$100/month
    • Basic features
    • Live chat
    • Email support
  • Business$250/month
    • Advanced features
    • AI automation
    • Omnichannel
  • Enterprise$undefined/month
    • Custom solutions
    • Dedicated support

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.
Anyscale review

Choose Sprinklr if

  • You need live chat.
  • You work on Web, Mobile app, IOS, Android.
  • You also want email support.
Sprinklr review

Questions people ask

Is Anyscale or Sprinklr better?
Neither clearly leads. Anyscale starts at Free and Sprinklr at On request, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
Which is cheaper, Anyscale or Sprinklr?
Anyscale has a free tier; the other does not. Paid plans start at Free for Anyscale and On request for Sprinklr.
Does Anyscale or Sprinklr run on more platforms?
Anyscale runs on web, api. Sprinklr runs on Web, Mobile app, IOS, Android.
Can I use Anyscale for free?
Yes. Anyscale has a free tier, so you can try it without paying. Sprinklr starts at On request.
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 Sprinklr is typically brought in for.
What can Anyscale do that Sprinklr cannot?
Anyscale covers Distributed model training, Multimodal data curation, Batch embedding generation, Multi-cloud orchestration. Sprinklr covers Live chat, Email support, Social media management, AI-powered routing.

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
Sprinklr: How much does Sprinklr cost?

Sprinklr pricing is not published online. The platform provides customer experience management, social listening, and engagement tools. To obtain pricing information, customers must click 'Talk to an expert' or use the contact form on Sprinklr's website to reach the sales team.

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
Sprinklr: Does Sprinklr offer a free trial or demo?

Sprinklr directs prospective customers to 'Talk to an expert' and contact the sales team. A demo can be requested, but pricing and trial availability details require direct contact with Sprinklr.

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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