I asked four AI models which database to use in 2026. Neon already won. Four challengers are invisible.

Short summary

Author tested ChatGPT, Claude, Gemini, and Perplexity with database-selection questions. Neon, Upstash, and Turso dominated recommendations while incumbents won other categories. Key insight: AI models recommend based on training-data visibility, not product quality—startups need independent media coverage to be recommended.

• •Neon recommended first in 14/20 conversations; serverless Postgres, Redis, and SQLite solutions dominated AI model picks for databases
• •Incumbents (Pinecone, ClickHouse, Prisma) dominate other database categories; products without media coverage remain invisible to LLMs
• •AI recommendations follow training data inputs, not product features—visibility requires independent coverage to enter LLM recommendation sets

Generated with AI, which can make mistakes.