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Fathom vs. TextQL

Elaborado a partir del registro investigado y revisado de cada herramienta. Las cifras se contrastan con las páginas públicas de precios en el momento de la investigación — confirma siempre el precio actual con el proveedor antes de comprar.

La versión corta

Fathom parte de $15 por usuario, frente a TextQL con $250.

Comparación completa

Fathomdesde $15 per user/month, billed annually (Team plan, 2+ users)
TextQLdesde $250 per month
Audyense Score76AS*Sólido32AS*Bajo
PosicionamientoFree AI notetaker for Zoom, Teams, and Google MeetTextQL is a data analysis tool designed to simplify complex data queries.
Plan gratuitoSíSí
ImplementaciónNube / SaaSNube / SaaS
Mejor encajeStartup, PYME, Mediana empresaMediana empresa, Empresa
Planes de precio
  • Team$15
  • Free$250
  • Growth$49
  • BusinessCustom pricing
  • EnterpriseCustom pricing
Ask data questions naturally—SíDocumented in the sourced profile.
Integrate any data source—SíDocumented in the sourced profile.
Schedule always-on analysis—SíDocumented in the sourced profile.
Create instant dashboards—SíDocumented in the sourced profile.
Use best-in-class semantic layer—SíDocumented in the sourced profile.
Deploy autonomous analytics agents—SíDocumented in the sourced profile.
Enterprise Ai Agents—SíDocumented in the sourced profile.
Deep Customer Analytics Software—SíDocumented in the sourced profile.
Integraciones verificadas—4+
Valoración agregada5.0 · 6.9k reviews— · No reviews yet
Integraciones
ZoomMicrosoft TeamsGoogle MeetSlack
SlackLinkedInSnowflakeAPI
Seguridad y cumplimiento
SOC 2 Type IIGDPRHIPAA
—
Pros
  • Free plan is fully featured for unlimited recordings/transcripts
  • Very high user satisfaction and ease-of-use scores on G2
  • Deep CRM and calendar integrations, plus MCP/API access
  • Documented capability: Ask data questions naturally
  • Documented capability: Integrate any data source
  • Profile names a concrete ICP: TextQL is for businesses that want fast, trusted AI answers from all their data sources. It helps teams quickly analyze data and get clear insights wi
  • Public profile names Slack, LinkedIn, Snowflake as connected workflow surfaces
Contras
  • Managing multiple notetaker bots in one meeting can be clunky per reviews
  • Some pricing or higher-tier terms are not publicly itemized
  • Fit is strongest for the stated Mid-market, Enterprise audience rather than every team
  • Named integrations should be validated against the team's exact plan and workflow
  • Reported outcomes and vendor claims should be validated with the buyer's own data
Visitar Fathom ↗Visitar TextQL ↗