A question buyers ask AI · names a product

Is Xano a good fit for building AI agent workflows that call LLMs and store embeddings next to my app data?

Measured in 1 answer, last on Nov 12, 2026. Only the passages that name a brand are shown.

Brands in the answers

BrandNamed inRecommended inPositiveAvg. position
Supabase100%100%100%—
Xano100%100%0%—
Firebase100%0%0%—
Hasura100%0%0%—

Where each answer names a brand

Answer 1 · Nov 12, 2026 · 2 sources cited
SupabaseRecommendedSite citedpositive
“Given your emphasis on database control, version control, deployment environments, and AI agent workflows, I'd lean toward Supabase rather than Xano as the primary backend.”
+ database-first development

“### A. Supabase: Strongest fit for database-first development”

+ native SQL migrations

“Supabase | Native SQL migrations | Excellent | Strong CLI, GitHub and branching support”

+ Git/version control

“Supabase | Native SQL migrations | Excellent | Strong CLI, GitHub and branching support”

+ native PostgreSQL

“Native PostgreSQL | Not its primary developer interface | Yes”

+ native pgvector

“Native pgvector | Verify current capabilities | Yes”

+ full SQL access

“SQL control | More abstracted | Full SQL access”

+ infrastructure control

“Infrastructure control | More managed | Managed or self-hosted”

+ embeddings alongside application data

“Supabase has a particularly strong advantage for AI applications because PostgreSQL and pgvector allow you to store embeddings alongside ordinary application records.”

− visual backend workflows

“Visual backend workflows | Excellent | More code-oriented”

“Firebase | More application/configuration-oriented; Firestore has no traditional relational schema migrations | Firebase CLI and Git workflows | Separate Firebase projects and deployment pipelines”
− no traditional relational schema migrations

“Firebase | More application/configuration-oriented; Firestore has no traditional relational schema migrations | Firebase CLI and Git workflows | Separate Firebase projects and deployment pipelines”

XanoRecommendedSite citedmixed
“Yes. Xano is a good option for building AI-powered backend workflows, including applications that call LLMs, execute tools, manage conversations, and store application data.”
+ backend lifecycle and visual development

“### B. Xano: Strong backend lifecycle and visual development”

+ visual backend workflows

“Visual backend workflows | Excellent | More code-oriented”

+ built-in LLM integrations

“LLM integrations | Built-in integrations | Edge Functions and integrations”

+ native AI agents

“AI agent workflows | Native AI Agents | Build using external agent frameworks”

+ minimum infrastructure management

“Minimum infrastructure management | Xano”

− native PostgreSQL

“Native PostgreSQL | Not its primary developer interface | Yes”

− native pgvector

“Native pgvector | Verify current capabilities | Yes”

− SQL control

“SQL control | More abstracted | Full SQL access”

− database infrastructure ownership

“Xano's branching and CLI capabilities provide meaningful deployment control, but they don't automatically mean you own the underlying database infrastructure.”

“### C. Hasura: Database-centric architecture with strong version control”
+ native SQL migrations and metadata management

“Hasura | Native SQL migrations and metadata management | Excellent | Strong CLI and CI/CD”

+ Git/version control

“Hasura | Native SQL migrations and metadata management | Excellent | Strong CLI and CI/CD”

− version-specific migration approach

“One caveat: Hasura DDN (v3) has a different migration approach from Hasura v2, so make sure you're evaluating the correct version.”

Sources the answers cite

← All questions and the Backend-as-a-Service ranking