Compare / Lindy vs Vertex AI Agent Builder
Head-to-head
Lindy vs Vertex AI Agent Builder.
Side-by-side on ratings, pricing, pros, cons, and the honest take on which to pick. Cross-category comparison: Lindy is a no-code saas and Vertex AI Agent Builder is a enterprise platform.
| Lindy | Vertex AI Agent Builder | |
|---|---|---|
| Rating | 4.5 / 5 | 3.5 / 5 |
| Category | No-code SaaS | Enterprise platform |
| Tech level | no code | developer |
| Open source | No | No |
| Pricing | Freemium. Paid plans from ~$49/month. | Usage-based on Google Cloud: per-token Gemini model costs + Vertex AI infrastructure. Free tier credits available for new accounts. |
| Best for | Sales and customer support teams at B2B companies who need working agents in days, not weeks, with no developer on staff. | Engineering teams on Google Cloud who want to build agents using Gemini's long-context capabilities and integrate directly with BigQuery, Cloud Storage, and Google Workspace. |
| Not for | Teams with complex custom integrations, regulated data, or who need full infrastructure control. | Teams not on Google Cloud — Vertex's value proposition is integration depth that doesn't transfer. Teams that want model flexibility — Vertex is Gemini-only. |
Our verdict on Lindy
The best no-code AI agent platform for operators. Non-technical teams can ship real automations in hours.
Full Lindy review →Our verdict on Vertex AI Agent Builder
Google's enterprise agent platform on Vertex AI. Best for Google Cloud teams wanting Gemini-native agents with BigQuery integration. Less useful elsewhere.
Full Vertex AI Agent Builder review →Lindy
What works
- Genuinely no-code — plain English agent creation
- Fast time to first value (hours, not days)
- Polished pre-built templates for sales and support
- Managed infrastructure — nothing to maintain
What doesn't
- SaaS pricing adds up at scale
- Limited customization ceiling vs open-source harnesses
- Your data lives on their servers
- Hits a ceiling on complex or non-standard workflows
Vertex AI Agent Builder
What works
- Gemini's 1M+ token context window — the largest on the market
- Native integration with BigQuery, Cloud Storage, Google Workspace
- Grounding with Google Search built in (real-time web data)
- Google Cloud security, compliance, and IAM
- Free tier credits for new accounts make evaluation easy
What doesn't
- Gemini-only — no Claude, GPT, or Llama support
- Only makes sense if you're already on Google Cloud
- Slower iteration than Anthropic or OpenAI direct
- Documentation is dense and assumes Google Cloud familiarity
- Enterprise contract overhead at scale
Which to pick
We'd default to Lindy (4.5/5 vs 3.5/5) for most builders. Pick Vertex AI Agent Builder if you fit its best-for case specifically: engineering teams on google cloud who want to build agents using gemini's long-context capabilities and integrate directly with bigquery, cloud storage, and google workspace.
Honest middle: most serious operators end up using more than one tool. If you're early in your AI agent journey, our five-question picker recommends a starting platform from your specific situation.
Common questions
Lindy vs Vertex AI Agent Builder — which should I pick?
We rate Lindy 4.5/5 vs 3.5/5 for Vertex AI Agent Builder. Lindy wins for sales and customer support teams at b2b companies who need working agents in days, not weeks, with no developer on staff. — but pick Vertex AI Agent Builder if you fit its specific best-for case (Engineering teams on Google Cloud who want to build agents using Gemini's long-context capabilities and integrate directly with BigQuery, Cloud Storage, and Google Workspace.). See the head-to-head table above for the full breakdown.
Is Lindy or Vertex AI Agent Builder cheaper?
Lindy's pricing: Freemium. Paid plans from ~$49/month. Vertex AI Agent Builder's pricing: Usage-based on Google Cloud: per-token Gemini model costs + Vertex AI infrastructure. Free tier credits available for new accounts. The right "cheaper" pick depends on usage volume and what's included — see the pricing row in the table above.
What's Lindy best for?
Sales and customer support teams at B2B companies who need working agents in days, not weeks, with no developer on staff.
What's Vertex AI Agent Builder best for?
Engineering teams on Google Cloud who want to build agents using Gemini's long-context capabilities and integrate directly with BigQuery, Cloud Storage, and Google Workspace.
Why compare Lindy and Vertex AI Agent Builder if they're different categories?
Lindy is a no-code saas and Vertex AI Agent Builder is a enterprise platform. The comparison still matters because builders evaluating one often consider the other for adjacent jobs. See the recommendation section above for how to think about the cross-category choice.
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