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Machine Learning · head to head

Milvus vs Veritone

Milvus logo

Milvus

Machine Learning

Open-source vector database for scalable similarity search

From
Free
Free plan
Yes
Full reviewWebsite
Veritone logo

Veritone

AI

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

From
On request
Free plan
No
Full reviewWebsite

The short version

  • Only Milvus has a free tier, so it costs nothing to try first.
  • Each has a real cost: Milvus vector dimensions are capped at 32,768; 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: Milvus covers Billion-scale vectors, Veritone covers aiWARE orchestration.
  • Prices and features above were last checked on 31 August 2026.

Where they differ

Only the attributes on which Milvus and Veritone actually diverge.

Attributes where Milvus and Veritone differ
AttributeMilvusVeritone
Starting priceFreeOn request
Pricing modelfreemiumquote
Free tierYesNo
PlatformsLinux, Mac, Windows, WebWeb, API, Self-hosted
CategoryMachine LearningAI
Founded2017Unknown

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 Milvus

  • Billion-scale vectors
  • Multiple index types
  • GPU acceleration
  • Hybrid search
  • Data partitioning
  • PyTorch
  • TensorFlow
  • Hugging Face

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.

Milvus

  • Self hosting a vector database for semantic searchnot Veritone
  • Storing and querying embeddings for retrieval augmented generationnot Veritone
  • Similarity search over images, audio or text at scalenot 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 Milvus
  • 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 Milvus
  • A federal agency that needs AI processing inside an authorised boundary, where FedRAMP status decides the shortlist before capability doesnot Milvus
  • A media buyer wanting attribution on broadcast and podcast advertising that digital analytics tools cannot seenot Milvus

Where each one falls short

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

Milvus

  • Vector dimensions are capped at 32,768
  • A collection is limited to 64 fields, 1,024 partitions and 16 shards
  • Only 1 index is allowed per field
  • Search returns at most 16,384 vectors as top-k, and nq is capped at 16,384
  • Input and output per RPC is capped at 64 MB for insert, search and query
  • VARCHAR values are limited to 65,535 characters
  • Data loaded into query nodes cannot exceed 90% of available memory
  • An instance supports at most 65,536 collections

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

Milvus

Free
  • Open SourceFree
    • Full features
    • Self-hosted
    • Community support
  • Zilliz CloudFree
    • Managed service
    • Free tier available

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 Milvus if

  • You need billion-scale vectors.
  • You want to start without paying.
  • You work on Linux, Mac, Windows, Web.
  • You also want multiple index types.
Milvus review

Choose Veritone if

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

Questions people ask

Is Milvus or Veritone better?
Neither clearly leads. Milvus 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, Milvus or Veritone?
Milvus has a free tier; the other does not. Paid plans start at Free for Milvus and On request for Veritone.
Does Milvus or Veritone run on more platforms?
Milvus runs on Linux, Mac, Windows, Web. Veritone runs on Web, API, Self-hosted.
Can I use Milvus for free?
Yes. Milvus has a free tier, so you can try it without paying. Veritone starts at On request.
What is Milvus best used for?
Milvus is most often used for self hosting a vector database for semantic search, storing and querying embeddings for retrieval augmented generation, similarity search over images, audio or text at scale. Of those, self hosting a vector database for semantic search and storing and querying embeddings for retrieval augmented generation are not what Veritone is typically brought in for.
What can Milvus do that Veritone cannot?
Milvus covers Billion-scale vectors, Multiple index types, GPU acceleration, Hybrid search. Veritone covers aiWARE orchestration, iDEMS, Automated redaction, Media archive indexing.

Answered from the vendors’ own pages

Milvus: How much does Milvus cost?

Milvus is open-source and free to use and modify. The self-hosted version has no licensing cost. Zilliz Cloud (the managed SaaS version) does not publish pricing on the website.

Source
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.

Milvus: Is there a free or open-source version of Milvus?

Yes, Milvus is fully open-source and available for free. Milvus Lite is a lightweight option for learning and prototyping that can be installed via pip.

Source
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.

Milvus: Does Milvus offer a managed cloud service?

Yes, Zilliz Cloud is a fully managed Milvus cloud offering with serverless and dedicated cluster options. Pricing must be requested from the company as it is not listed on the public website.

Source
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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