Best databases for web apps (search query)

We asked 10 models: best database for web app Each named its own top 10.

Asked 4 ways: List request · Buyer asking for advice · Search query · Worth paying for?. Share of voice pools every wording.

Agreement between models
83%
Same model, run twice
88%
Different picks
19

When agreement between models is well below a model's agreement with itself, the split reflects real differences in taste rather than randomness.

The consensus

Each cell is the position that model gave the pick; blank means it left the pick off. Click a row for each model's reasoning.

#PickScoreListed byClaude Haiku 5.5GPT-6 LunaGemini 4 ArgonQwen 3.8 FlashDeepSeek V4 ProGLM-5.3Kimi K3MiniMax M3Mistral Large 4Nemotron 3 Ultra

4 lower-scoring picks are not shown; every ballot below lists them in full.

Most divisive

Picks most models listed, at very different positions

Hot takes

Picks that appear on only one ballot

Every ballot

Hover a pick to find it on the other ballots. Marked picks appear on no other ballot.

Claude Haiku 5.5

  1. PostgreSQL
  2. MySQL
  3. MongoDB
  4. SQLite
  5. Redis
  6. Microsoft SQL Server
  7. MariaDB
  8. Oracle Database
  9. Supabase
  10. Amazon DynamoDB

93% with consensus · 92% self-consistent

GPT-6 Luna

  1. PostgreSQL
  2. MySQL
  3. MongoDB
  4. SQLite
  5. Supabase
  6. Redis
  7. CockroachDB
  8. Microsoft SQL Server
  9. Amazon DynamoDB
  10. Firebase

93% with consensus · 89% self-consistent

Gemini 4 Argon

  1. PostgreSQL
  2. MySQL
  3. MongoDB
  4. Supabase
  5. Redis
  6. Cloud Firestore
  7. SQLite
  8. Amazon DynamoDB
  9. Neon
  10. MariaDB

90% with consensus · 86% self-consistent

Qwen 3.8 Flash

  1. PostgreSQL
  2. MySQL
  3. MongoDB
  4. SQLite
  5. Cloud Firestore
  6. Amazon DynamoDB
  7. Supabase
  8. Redis
  9. Microsoft SQL Server
  10. Cassandra

92% with consensus · 82% self-consistent

DeepSeek V4 Pro

  1. PostgreSQL
  2. MySQL
  3. SQLite
  4. MongoDB
  5. Supabase
  6. Redis
  7. PlanetScale
  8. Neon
  9. Firebase
  10. MariaDB

87% with consensus · 92% self-consistent

GLM-5.3

  1. PostgreSQL
  2. MongoDB
  3. MySQL
  4. Redis
  5. SQLite
  6. Amazon DynamoDB
  7. Supabase
  8. Firebase
  9. MariaDB
  10. Firebase Realtime Database

86% with consensus · 93% self-consistent

Kimi K3

  1. PostgreSQL
  2. MySQL
  3. MongoDB
  4. SQLite
  5. Redis
  6. MariaDB
  7. CockroachDB
  8. Elasticsearch
  9. Firebase Realtime Database
  10. Supabase

90% with consensus · 90% self-consistent

MiniMax M3

  1. PostgreSQL
  2. MySQL
  3. MongoDB
  4. SQLite
  5. Redis
  6. MariaDB
  7. Microsoft SQL Server
  8. Supabase
  9. Amazon DynamoDB
  10. Firebase Realtime Database

95% with consensus · 93% self-consistent

Mistral Large 4

  1. PostgreSQL
  2. MongoDB
  3. MySQL
  4. Redis
  5. Supabase
  6. SQLite
  7. Firebase
  8. PlanetScale
  9. Amazon RDS
  10. Amazon DynamoDB

81% with consensus · 76% self-consistent

Nemotron 3 Ultra

  1. PostgreSQL
  2. MySQL
  3. MongoDB
  4. Redis
  5. SQLite
  6. MariaDB
  7. Amazon DynamoDB
  8. Microsoft SQL Server
  9. Cassandra
  10. Firebase

92% with consensus · 92% self-consistent

Who agrees with whom

Overlap between two models' lists, weighted toward the top · 100 means identical · Color runs from 75 (lightest) to 96 (darkest)

Claude Haiku 5.5GPT-6 LunaGemini 4 ArgonQwen 3.8 FlashDeepSeek V4 ProGLM-5.3Kimi K3MiniMax M3Mistral Large 4Nemotron 3 Ultra
Claude Haiku 5.5908486838192967891
GPT-6 Luna908789898190918287
Gemini 4 Argon848787848182858284
Qwen 3.8 Flash868987828183887585
DeepSeek V4 Pro838984827783848080
GLM-5.3818181817780839286
Kimi K3929082838380947690
MiniMax M3969185888483947993
Mistral Large 4788282758092767980
Nemotron 3 Ultra918784858086909380