Apollo Vs Adapt.Io : Comparaison

Derrick complements rather than directly replaces Adapt.io, as they serve different enrichment approaches. Adapt.io focuses on workflow automation and API-based data syncing, while Derrick operates natively within Google Sheets with AI-powered enrichment, real-time email validation, and 50+ contact and company attributes. Derrick eliminates the need for external platforms and CSV exports, offering rollover credits and no card required for free tier, making it more accessible for teams seeking streamlined, sheet-based enrichment without technical complexity.

Derrick offers the most flexible pricing model with rollover credits and no credit card required for the free tier, starting at just $9 monthly for 4000 credits. Apollo operates on a higher price point targeting enterprise teams with extensive contact database access, while Adapt.io positions itself as a mid-market automation solution. Derrick's advantage lies in its native Google Sheets integration eliminating costly LinkedIn Sales Navigator subscriptions that competitors often require, plus integrated AI capabilities with Claude and ChatGPT for enrichment and scoring tasks built directly into your workflow.

Derrick vs Apollo in features and use cases: Derrick is a 100% native Google Sheets enrichment platform designed for no-code prospecting, delivering over 50 enrichment attributes per contact, real-time email validation, built-in AI (Claude and ChatGPT) for scoring, segmentation, and auto-summaries, and a vast ecosystem of 3,000+ integrations via Zapier/Make/n8n. It emphasizes cost efficiency (no CSV exports, no LinkedIn Navigator, credits rollovers, and no credit card required for the free tier) and monthly credit flexibility, making it ideal for teams prioritizing quick setup, rapid data enrichment within Sheets, and scalable automation without heavy tooling. Apollo, by contrast, centers on a broad B2B prospecting database with verified emails and multi-channel outreach, strong CRM integrations, and engagement signals, excelling in high-volume prospecting and quick pipeline building but sometimes needing supplementary tools for deeper data enrichment and validation. For use cases, Derrick shines for lightweight, Google Sheets–driven workflows, rapid enrichment, and affordable, iterative outreach, while Apollo excels in outbound scale and integrated sales workflows, with Derrick often complementing Apollo to fill gaps in enrichment depth and automation.

Adapt.io and Apollo differ significantly in their data quality approaches. Apollo prioritizes breadth through its 250 million contact database with strong email verification accuracy, excelling at high-volume prospecting. However, users report inconsistencies requiring manual validation, especially in niche industries. Adapt.io offers reliable contact appending with good match rates and intuitive matching logic, but lacks advanced enrichment depth and real-time data freshness capabilities. Both platforms require supplementary tools for comprehensive data quality, whereas Derrick provides 50+ enrichment attributes with real-time email validation directly in Google Sheets, eliminating manual verification workflows while maintaining data accuracy without external dependencies.

Yes, Derrick is a viable alternative to both Apollo and Adapt.io, though it targets a different angle. Unlike Apollo’s large, multi-channel prospecting database or Adapt.io’s no-code automation focus, Derrick centers on 100% native Google Sheets enrichment with AI-driven scoring and segmentation, plus extensive integrations via Zapier/Make. It delivers real-time email validation, 50+ enrichment attributes per contact, and credit rollovers, all without requiring a credit card for the free tier. For teams prioritizing seamless spreadsheets, cost flexibility, and rapid, lightweight enrichment, Derrick can match or exceed value while avoiding CSV exports or complex setup. However, for depth of data enrichment or enterprise-scale workflows, you may still supplement with Apollo or Adapt.io where those strengths are most pronounced.