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Thanos vs Veritone

Thanos logo

Thanos

Cloud

Highly available Prometheus with long-term object storage

From
Free
Free plan
Yes
Veritone logo

Veritone

AI

AI orchestration platform and applications for media archives, public safety evidence and advertising

From
On request
Free plan
No

The short version

  • Only Thanos has a free tier, so it costs nothing to try first.
  • Each has a real cost: Thanos several components — sidecar, store, querier, compactor, ruler — each with its own configuration and failure modes; Veritone nothing is publicly priced, and because consumption of the underlying AI engines is metered, the total cost of a large archive ingest is difficult to forecast before you have run one.
  • They diverge on capability: Thanos covers Global query, Veritone covers aiWARE orchestration.
  • Prices and features above were last checked on 31 August 2026.

Where they differ

Only the attributes on which Thanos and Veritone actually diverge.

Attributes where Thanos and Veritone differ
AttributeThanosVeritone
Starting priceFreeOn request
Pricing modelOpen source, no licence feequote
Free tierYesNo
PlatformsKubernetes, Linux, DockerWeb, API, Self-hosted
CategoryCloudAI

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 Thanos

  • Global query
  • Object storage retention
  • Deduplication
  • Downsampling

Only in Veritone

  • aiWARE orchestration
  • iDEMS
  • Automated redaction
  • Media archive indexing
  • FedRAMP authorisation
  • Advertising and content intelligence
  • Voice and synthetic media
  • Self-hosted deployment

What people use each for

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

Thanos

  • Querying metrics across many clusters or regions from one placenot Veritone
  • Retaining metrics for years without local disk growthnot Veritone
  • Removing the gap that appears when a single Prometheus instance restartsnot Veritone

Veritone

  • A police department buried in body camera footage that must be redacted before disclosure, where automated face and audio redaction converts weeks of manual work into review timenot Thanos
  • A broadcaster or sports rights holder that cannot find footage in its own archive and loses licensing revenue because searching it costs more than the clip earnsnot Thanos
  • A federal agency that needs AI processing inside an authorised boundary, where FedRAMP status decides the shortlist before capability doesnot Thanos
  • A media buyer wanting attribution on broadcast and podcast advertising that digital analytics tools cannot seenot Thanos

Where each one falls short

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

Thanos

  • Several components — sidecar, store, querier, compactor, ruler — each with its own configuration and failure modes
  • The compactor is a common source of operational trouble and must not run twice against the same bucket
  • Query latency over object storage is meaningfully higher than local Prometheus
  • Object storage costs and API request charges become real at high volume

Veritone

  • Nothing is publicly priced, and because consumption of the underlying AI engines is metered, the total cost of a large archive ingest is difficult to forecast before you have run one.
  • The company is mid-restructure after divesting its media agency, with revenue guidance well below earlier expectations, so a buyer signing a multi-year evidence contract is taking corporate risk they can read in the public filings but cannot control.
  • The orchestration proposition means Veritone sits between you and the model vendors, so when a specific engine underperforms on your content the remedy is a support case rather than switching provider yourself.
  • The product portfolio spans law enforcement, broadcast, advertising and synthetic voice, which is a wide surface for one engineering organisation and means attention to any single application depends on where the revenue growth currently is.
  • Automated redaction is a review aid, not a guarantee: an agency remains legally responsible for what is disclosed, so the staff time saved is smaller than the demonstration implies once verification is included.

Pricing, plan by plan

Thanos

Free
  • ThanosFree
    • Full functionality
    • No usage limits
    • Community support

Veritone

On request
  • aiWARE platform$undefined/year
    • Consumption-based use of the AI engine catalogue
    • Enterprise licence, quoted
    • Self-hosted and FedRAMP deployment options
  • iDEMS$undefined/year
    • Digital evidence management for law enforcement
    • Automated redaction and disclosure workflow
    • Quoted per agency, commonly on government contract vehicles
  • Media and entertainment applications$undefined/year
    • Archive indexing, monetisation and advertising intelligence
    • Quoted

Which should you pick?

Choose Thanos if

  • You need global query.
  • You want to start without paying.
  • You work on Kubernetes, Linux, Docker.
  • You also want object storage retention.

Choose Veritone if

  • You need aiware orchestration.
  • You work on Web, API, Self-hosted.
  • You also want idems.

Questions people ask

Is Thanos or Veritone better?
Neither clearly leads. Thanos starts at Free and Veritone at On request, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
Which is cheaper, Thanos or Veritone?
Thanos has a free tier; the other does not. Paid plans start at Free for Thanos and On request for Veritone.
Does Thanos or Veritone run on more platforms?
Thanos runs on Kubernetes, Linux, Docker. Veritone runs on Web, API, Self-hosted.
Can I use Thanos for free?
Yes. Thanos has a free tier, so you can try it without paying. Veritone starts at On request.
What is Thanos best used for?
Thanos is most often used for querying metrics across many clusters or regions from one place, retaining metrics for years without local disk growth, removing the gap that appears when a single prometheus instance restarts. Of those, querying metrics across many clusters or regions from one place and retaining metrics for years without local disk growth are not what Veritone is typically brought in for.
What can Thanos do that Veritone cannot?
Thanos covers Global query, Object storage retention, Deduplication, Downsampling. Veritone covers aiWARE orchestration, iDEMS, Automated redaction, Media archive indexing.

Answered from the vendors’ own pages

Thanos: Is Thanos free?

Yes, open source and CNCF-incubating. Costs are the object storage it uses.

Veritone: What do you actually buy from Veritone?

An application, most often iDEMS for digital evidence or a media archive product. aiWARE is the platform underneath, and it is rarely purchased on its own outside enterprise and government deals.

Thanos: Does Thanos replace Prometheus?

No. It runs alongside existing Prometheus servers, adding global query, deduplication and long-term storage.

Veritone: Is pricing published?

No. Everything is quoted, and platform use is metered by consumption of the underlying AI engines, which makes forecasting a large ingest difficult.

Thanos: Thanos or VictoriaMetrics?

Thanos layers onto Prometheus using object storage and is the more established multi-cluster answer. VictoriaMetrics is a separate store aiming at lower resource use and fewer moving parts.

Veritone: Is it approved for US government use?

aiWARE holds FedRAMP authorisation and can be deployed into self-hosted government tenants, which is frequently the reason it reaches a public sector shortlist.

Veritone: Did Veritone sell its advertising agency?

Yes. Veritone One was divested in 2024 for up to $104 million, and the remaining company is focused on enterprise AI software and licensing.

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