Machine Learning · head to head
Domino Data Lab vs Rev
Rev
AI
Human and AI transcription, captions and subtitles priced per minute
- From
- Free
- Free plan
- Yes
The short version
- Each has a real cost: Domino Data Lab pricing is by quote only: the pricing page publishes no rate and no minimum, and the tier breakdown is behind a downloadable datasheet form; Rev human transcription at 1.99 US dollars a minute means roughly 120 dollars an hour of audio, so a long-form interview series costs more in transcription than most teams assume before they run the arithmetic.
- They diverge on capability: Domino Data Lab covers Reproducible environments, Rev covers Human transcription.
- Prices and features above were last checked on 31 August 2026.
Where they differ
Only the attributes on which Domino Data Lab and Rev actually diverge.
| Attribute | Domino Data Lab | Rev |
|---|---|---|
| Pricing model | subscription | Per minute for human work, per seat per month for AI |
| Platforms | Web | Web, iOS, Android, API |
| Category | Machine Learning | AI |
| Founded | 2013 | Unknown |
Identical on both: starting price (Free), free tier (Yes), 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 Domino Data Lab
- Reproducible environments
- Model registry
- Model monitoring
- Collaboration
- Governance
- AWS
- Azure
- GCP
Only in Rev
- Human transcription
- AI transcription
- Captions and subtitles
- Legal transcripts
- File analysis
- Clio integration
- Rev API
- Speaker identification
What people use each for
The jobs each tool is most often brought in to do.
Domino Data Lab
- Running reproducible data science workspaces and experiments on shared computenot Rev
- Deploying and monitoring models with governance controlsnot Rev
- Giving regulated enterprises a self managed MLOps platformnot Rev
Rev
- A law firm that needs a deposition transcript in a court-acceptable page format with a fixed turnaround and a published per-page price it can bill to a matter.not Domino Data Lab
- A documentary or podcast producer costing a project in advance, because human transcription at a published per-minute rate makes the transcription line item a known number.not Domino Data Lab
- A broadcaster needing compliant human captions rather than machine captions, where accuracy is a regulatory requirement and not a convenience.not Domino Data Lab
- A team with high AI volume and occasional high-stakes files, using the subscription for the bulk and paying the discounted human rate only where accuracy matters.not Domino Data Lab
Where each one falls short
Documented limitations, not opinions. Every one is a constraint you would hit in normal use.
Domino Data Lab
- Pricing is by quote only: the pricing page publishes no rate and no minimum, and the tier breakdown is behind a downloadable datasheet form
- Licensing is split by user type, with separate data science professional, data analyst, service account and admin licences
- FinOps, Nexus and Governance are paid add on modules rather than part of the platform
- Support level is a separate priced choice
- Self managed VPC or on premises deployment requires the Premium tier or higher
- No free trial is offered on the pricing page
Rev
- Human transcription at 1.99 US dollars a minute means roughly 120 dollars an hour of audio, so a long-form interview series costs more in transcription than most teams assume before they run the arithmetic.
- AI minutes are allocated per seat per month and do not roll over, so bursty workloads, which is how most media production actually behaves, waste allowance in quiet months and run out in busy ones.
- The product direction has moved towards legal and investigative use, so a newsroom or media buyer is choosing a tool whose roadmap priority sits elsewhere.
- Foreign-language subtitles are priced from 6.49 to 15.99 US dollars per minute, an order of magnitude above transcription, which makes multi-language localisation of any volume of video expensive enough to change the plan.
- Human turnaround is stated in hours rather than guaranteed contractually on the published plans, so a hard broadcast or filing deadline needs an agreement beyond the standard terms.
Pricing, plan by plan
Domino Data Lab
Free- TrialFree
- 14-day trial
- Full features
- EnterpriseFree
- Full platform
- Enterprise support
- SLA
Rev
Free- FreeFree
- 45 AI transcription and caption minutes per month
- Up to 5 files analysed
- No human transcription included
- Essentials$25.49/month
- 5,000 AI minutes per seat per month
- Up to 3 seats
- 10 per cent discount on human transcription, captions and subtitles
- Pro$47.99/month
- 10,000 AI minutes per seat per month
- Up to 5 seats
- 15 per cent discount on human work
- Unlimited$undefined/month
- Unlimited AI minutes
- Up to 500 files analysed at once
- Dedicated account specialist
Which should you pick?
Choose Domino Data Lab if
- You need reproducible environments.
- You want to start without paying.
- You also want model registry.
Choose Rev if
- You need human transcription.
- You want to start without paying.
- You work on Web, iOS, Android, API.
- You also want ai transcription.
Questions people ask
- Is Domino Data Lab or Rev better?
- Neither clearly leads. Domino Data Lab starts at Free and Rev at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
- Which is cheaper, Domino Data Lab or Rev?
- Domino Data Lab starts at Free and Rev at Free.
- Does Domino Data Lab or Rev run on more platforms?
- Domino Data Lab runs on Web. Rev runs on Web, iOS, Android, API.
- Can I use Domino Data Lab for free?
- Both have a free tier, so you can try either at no cost before committing.
- What is Domino Data Lab best used for?
- Domino Data Lab is most often used for running reproducible data science workspaces and experiments on shared compute, deploying and monitoring models with governance controls, giving regulated enterprises a self managed mlops platform. Of those, running reproducible data science workspaces and experiments on shared compute and deploying and monitoring models with governance controls are not what Rev is typically brought in for.
- What can Domino Data Lab do that Rev cannot?
- Domino Data Lab covers Reproducible environments, Model registry, Model monitoring, Collaboration. Rev covers Human transcription, AI transcription, Captions and subtitles, Legal transcripts.
Answered from the vendors’ own pages
Domino Data Lab: What user license types are available and what can they do?
Data Science Professionals get full development, model training, and GPU access. Data Analysts get Python/R environments and dashboard creation with limited computing. License counts vary by tier (5-10 admin licenses and 5-10 service accounts).
SourceRev: How much is human transcription?
1.99 US dollars per minute with a stated accuracy target above 99 per cent, typically returned within 12 hours. Subscribers get 10 to 15 per cent off.
Domino Data Lab: What support response times are included?
Premium tier includes 2-business-day SLA for support. Enterprise includes 1-business-day SLA plus 24/7 support for critical issues. Both tiers include monitoring and support services.
SourceRev: Is there a free tier?
Yes, 45 AI minutes per month and up to 5 files analysed, with no human transcription included.
Domino Data Lab: Are there additional modules available beyond the base subscription?
Yes, advanced add-on modules are available including FinOps (cost optimization), Nexus (hybrid/multicloud support), and Governance. These require separate purchase on top of your subscription tier.
SourceRev: Do unused AI minutes roll over?
No. The allowance is per seat per month and resets, which penalises irregular workloads.
Rev: Can it do subtitles in other languages?
Yes, across seventeen languages, priced from 6.49 to 15.99 US dollars per minute, considerably more than transcription.
Rev: Is Rev still a good choice for newsrooms?
It works, but the subscription tiers are now positioned around legal and investigative workflows, so a newsroom should compare it against a tool built specifically for journalism.
Related pages
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