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Starnus 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

Starnus parte de $50 por usuario, frente a TextQL con $250.

Comparación completa

Starnusdesde $50 EUR per month (Pro)
TextQLdesde $250 per month
Audyense Score44AS*Bajo32AS*Bajo
PosicionamientoAI SDR platform that runs outbound prospecting, enrichment, outreach, and follow-ups on autopilot.TextQL is a data analysis tool designed to simplify complex data queries.
Plan gratuitoNoSí
ImplementaciónNube / SaaSNube / SaaS
Mejor encajeStartup, PYME, Mediana empresaMediana empresa, Empresa
Planes de precio
  • Pro$50
  • Pro+$125
  • Ultra$250
  • Managed Service$900
  • 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 · 2 reviews— · No reviews yet
Integraciones
SmartleadUnipileHubSpotPerplexity
SlackLinkedInSnowflakeAPI
Seguridad y cumplimiento——
Pros
  • Fast automated ICP and prospect-list generation
  • Combines email and LinkedIn outreach in one flow
  • Cheaper than enterprise AI-SDR alternatives
  • 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
  • No independent review-platform rating found to verify real-world satisfaction
  • Credit-based limits on leads/messages per tier
  • 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
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