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Side-by-side record

Starnus vs. TextQL

Built from each tool’s researched, reviewed record. Figures are checked against public pricing pages at research time — always confirm current pricing with the vendor before buying.

The short version

Starnus starts at $50 per seat, versus TextQL at $250.

Full comparison

Starnusfrom $50 EUR per month (Pro)
TextQLfrom $250 per month
Audyense Score44AS*Low32AS*Low
PositioningAI 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.
Free tierNoYes
DeploymentCloud / SaaSCloud / SaaS
Best fitStartup, SMB, Mid-marketMid-market, Enterprise
Pricing plans
  • Pro$50
  • Pro+$125
  • Ultra$250
  • Managed Service$900
  • Free$250
  • Growth$49
  • BusinessCustom pricing
  • EnterpriseCustom pricing
Ask data questions naturallyYesDocumented in the sourced profile.
Integrate any data sourceYesDocumented in the sourced profile.
Schedule always-on analysisYesDocumented in the sourced profile.
Create instant dashboardsYesDocumented in the sourced profile.
Use best-in-class semantic layerYesDocumented in the sourced profile.
Deploy autonomous analytics agentsYesDocumented in the sourced profile.
Enterprise Ai AgentsYesDocumented in the sourced profile.
Deep Customer Analytics SoftwareYesDocumented in the sourced profile.
Integrations verified4+
Aggregate rating5.0 · 2 reviews · No reviews yet
Integrations
SmartleadUnipileHubSpotPerplexity
SlackLinkedInSnowflakeAPI
Security & compliance
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
Cons
  • 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
Visit Starnus ↗Visit TextQL ↗