AI · head to head
Fathom vs Weaviate
The short version
- Each has a real cost: Fathom team plan requires minimum 2 users; cannot purchase single seat at team pricing; Weaviate the free tier caps at 100,000 objects, 1 GB of memory and a single collection
- They diverge on capability: Fathom covers Auto-recording, Weaviate covers Vector and keyword search.
Where they differ
Only the attributes on which Fathom and Weaviate actually diverge.
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 Fathom
- Auto-recording
- AI summaries
- Transcription
- Highlight clips
- Zoom
- Google Meet
- HubSpot
- Salesforce
Only in Weaviate
- Vector and keyword search
- Built-in vectorizers
- GraphQL API
- Multi-tenancy
- Hybrid search
- OpenAI
- Hugging Face
- Cohere
Both cover
- Web support
What people use each for
The jobs each tool is most often brought in to do.
Fathom
- AI-powered meeting transcription and automatic note-taking for sales teams and professionalsnot Weaviate
- Meeting analysis with AI scorecards and action item generation that syncs to CRMsnot Weaviate
Weaviate
- Running a vector database for semantic and hybrid searchnot Fathom
- Generating and storing embeddings alongside the objects they describenot Fathom
Where each one falls short
Documented limitations, not opinions. Every one is a constraint you would hit in normal use.
Fathom
- Team plan requires minimum 2 users; cannot purchase single seat at team pricing
- CRM field sync and deal view summaries available only on Business plan ($34/user/month) and above
Weaviate
- The free tier caps at 100,000 objects, 1 GB of memory and a single collection
- Billing is per million vector dimensions rather than per record, so wider embeddings cost proportionally more for the same object count
- Premium is a prepaid contract starting at $400 a month rather than pay as you go
- Storage rates do not fall consistently with tier, and Premium Dedicated is $0.1505 per GiB against $0.12 on the cheaper Flex plan
- The Query Agent is metered separately, free to 1,000 requests a month and $30 a month plus overage beyond
Pricing, plan by plan
Fathom
FreeNo published plan breakdown. See the Fathom review.
Weaviate
Free- Open SourceFree
- Full features
- Self-hosted
- ServerlessFree
- Managed service
- Auto-scaling
Which should you pick?
Choose Fathom if
- You need auto-recording.
- You want to start without paying.
- You work on Web, Zoom, Google Meet, Microsoft Teams.
- You also want ai summaries.
Choose Weaviate if
- You need vector and keyword search.
- You want to start without paying.
- You work on Linux, Mac, Windows, Web.
- You also want built-in vectorizers.
Questions people ask
- Is Fathom or Weaviate better?
- Neither clearly leads. Fathom starts at Free and Weaviate at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
- Which is cheaper, Fathom or Weaviate?
- Fathom starts at Free and Weaviate at Free.
- Does Fathom or Weaviate run on more platforms?
- Fathom runs on Web, Zoom, Google Meet, Microsoft Teams. Weaviate runs on Linux, Mac, Windows, Web.
- Can I use Fathom for free?
- Both have a free tier, so you can try either at no cost before committing.
- What is Fathom best used for?
- Fathom is most often used for ai-powered meeting transcription and automatic note-taking for sales teams and professionals, meeting analysis with ai scorecards and action item generation that syncs to crms. Of those, ai-powered meeting transcription and automatic note-taking for sales teams and professionals and meeting analysis with ai scorecards and action item generation that syncs to crms are not what Weaviate is typically brought in for.
- What can Fathom do that Weaviate cannot?
- Fathom covers Auto-recording, AI summaries, Transcription, Highlight clips. Weaviate covers Vector and keyword search, Built-in vectorizers, GraphQL API, Multi-tenancy. Both handle Web support.
Answered from the vendors’ own pages
Fathom: What is the most affordable paid plan for individuals, and what does it include?
Fathom Premium costs $20 per month (or $16 per month billed annually). It includes advanced summaries, action items, and a conversational AI assistant, in addition to the features in the free plan.
SourceWeaviate: What pricing options does Weaviate offer?
Weaviate provides a free tier with usage-based pricing, plus enterprise options. Visit the pricing page for detailed information on plans.
SourceFathom: What is included in Fathom's free plan?
The free plan includes unlimited recordings, transcriptions, AI summaries, clips, and playlists at no cost forever.
SourceWeaviate: Does Weaviate offer customer support?
Yes, support is included with Weaviate's cloud offerings. Enterprise customers receive first-class support from their global team of experts.
SourceFathom: How much does the Team plan cost per user, and what features does it add?
The Team plan costs $19 per month per user (minimum 2 users, or $15 per month annually). It includes everything from Premium plus global search, collaboration features, and team playlists.
SourceWeaviate: Can I deploy Weaviate on my own infrastructure?
Yes. Weaviate is open source and deployment-agnostic. You can run it in your own cloud environment or use their managed cloud service.
SourceFathom: What trial or guarantee is available before committing to a paid plan?
All paid plans offer a 90-day guarantee to test features risk-free.
SourceWeaviate: What data security features does Weaviate provide?
Weaviate includes security & governance, RBAC, SOC 2 and HIPAA compliance, along with multi-tenancy and high availability for enterprise requirements.
SourceFathom: Does Fathom offer free or discounted plans for startups or nonprofits?
Yes, qualified portfolio companies get up to 2 years free, and nonprofits can apply for 10 free seats.
SourceWeaviate: How do I get started with Weaviate?
Sign up for their cloud tier, create your first dataset, connect an LLM, and build your AI app. Documentation and quickstart guides are available for Python, Go, TypeScript, and JavaScript.
SourceRelated pages
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