Machine Learning · head to head
KNIME vs Veritone

KNIME
Machine Learning
Open source data analytics and integration platform
- From
- Free
- Free plan
- Yes

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 KNIME has a free tier, so it costs nothing to try first.
- Each has a real cost: KNIME the free Analytics Platform runs locally only, so anything shared or scheduled requires a paid Hub; 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: KNIME covers Visual workflows, Veritone covers aiWARE orchestration.
- Prices and features above were last checked on 31 August 2026.
Where they differ
Only the attributes on which KNIME and Veritone actually diverge.
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 KNIME
- Visual workflows
- Data preprocessing
- Machine learning
- Visualization
- Reporting
- Python
- R
- Spark
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.
KNIME
- Data science and machine learning workflowsnot Veritone
- ETL and data pipeline automationnot Veritone
- Predictive analytics and modelingnot 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 KNIME
- 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 KNIME
- A federal agency that needs AI processing inside an authorised boundary, where FedRAMP status decides the shortlist before capability doesnot KNIME
- A media buyer wanting attribution on broadcast and podcast advertising that digital analytics tools cannot seenot KNIME
Where each one falls short
Documented limitations, not opinions. Every one is a constraint you would hit in normal use.
KNIME
- The free Analytics Platform runs locally only, so anything shared or scheduled requires a paid Hub
- The free AI assistant is limited to 20 interactions a month
- Paid workflow runtime is metered in credits, with 120 included on Pro and overage at $0.025 per vCore minute
- The Team plan at $99 a month includes 3 members, with additional seats at $49 a month each
- Business Hub pricing is on request, and its tiers are capped at 4, 8 and 16 vCores with 5, 5 and 20 users
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
KNIME
Free- Analytics PlatformFree
- 300+ data sources
- Unlimited local processing
- K-AI assistant (20 interactions/month)
- Pro$19/month
- 120 workflow runtime credits
- Data app deployment
- K-AI (500 interactions/month)
- Team$99/month
- All Pro features
- Collaboration spaces for up to 3 team members
- Additional members: $49/month each
- Business Hub$null/month
- Enterprise automation and governance
- LDAP/OAuth authentication
- Staged deployment
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 KNIME if
- You need visual workflows.
- You want to start without paying.
- You work on Linux, Mac, Windows.
- You also want data preprocessing.
Choose Veritone if
- You need aiware orchestration.
- You work on Web, API, Self-hosted.
- You also want idems.
Questions people ask
- Is KNIME or Veritone better?
- Neither clearly leads. KNIME 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, KNIME or Veritone?
- KNIME has a free tier; the other does not. Paid plans start at Free for KNIME and On request for Veritone.
- Does KNIME or Veritone run on more platforms?
- KNIME runs on Linux, Mac, Windows. Veritone runs on Web, API, Self-hosted.
- Can I use KNIME for free?
- Yes. KNIME has a free tier, so you can try it without paying. Veritone starts at On request.
- What is KNIME best used for?
- KNIME is most often used for data science and machine learning workflows, etl and data pipeline automation, predictive analytics and modeling. Of those, data science and machine learning workflows and etl and data pipeline automation are not what Veritone is typically brought in for.
- What can KNIME do that Veritone cannot?
- KNIME covers Visual workflows, Data preprocessing, Machine learning, Visualization. Veritone covers aiWARE orchestration, iDEMS, Automated redaction, Media archive indexing.
Answered from the vendors’ own pages
KNIME: Is KNIME free?
Yes, KNIME Analytics Platform is free with 300+ data sources, unlimited local processing, and 20 K-AI assistant interactions per month.
SourceVeritone: 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.
KNIME: What do KNIME paid plans cost?
Pro plan starts at $19/month with 120 runtime credits. Team plan starts at $99/month for up to 3 members, with additional members at $49/month each.
SourceVeritone: 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.
KNIME: What is KNIME's runtime credit system?
Pro and Team plans include runtime credits for workflow execution. Additional runtime beyond included credits costs $0.025 per vCore minute.
SourceVeritone: 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.
KNIME: Does KNIME offer enterprise pricing?
Yes, Business Hub is available for enterprises needing automation, governance, LDAP/OAuth auth, and dedicated resources. Pricing available on request.
SourceVeritone: 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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