Best databases for web apps (worth paying for?)
We asked 10 models: Which hosted databases are actually worth paying for?
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
- 35%
- Same model, run twice
- 59%
- Different picks
- 27
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.
| # | Pick | Score | Listed by | Claude Haiku 5.5 | GPT-6 Luna | Gemini 4 Argon | Qwen 3.8 Flash | DeepSeek V4 Pro | GLM-5.3 | Kimi K3 | MiniMax M3 | Mistral Large 4 | Nemotron 3 Ultra |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 1 | MongoDB Atlas | 10/10 | 9 | 4 | 4 | 5 | 3 | 2 | 1 | 1 | 2 | 1 | |
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| 2 | Supabase | 9/10 | 5 | 7 | 1 | 2 | 1 | 4 | 3 | 2 | 7 | ||
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| 3 | PlanetScale | 9/10 | 7 | 5 | 3 | 2 | 5 | 4 | 3 | 3 | 2 | ||
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| 4 | Amazon Aurora | 6/10 | 1 | 1 | 1 | 2 | 6 | 4 | |||||
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| 5 | Neon | 8/10 | 3 | 6 | 2 | 4 | 4 | 6 | 5 | 8 | |||
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| 6 | Amazon RDS | 7/10 | 8 | 3 | 1 | 9 | 9 | 4 | 3 | ||||
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| 7 | Snowflake | 5/10 | 5 | 6 | 3 | 1 | 9 | ||||||
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| 8 | Google Cloud SQL | 6/10 | 6 | 2 | 7 | 10 | 10 | 5 | |||||
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| 9 | CockroachDB | 6/10 | 8 | 6 | 8 | 5 | 5 | 10 | |||||
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| 10 | Redis | 4/10 | 10 | 8 | 4 | 5 | |||||||
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| 11 | Amazon DynamoDB | 5/10 | 4 | 9 | 10 | 10 | 8 | ||||||
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| 12 | Google Cloud Spanner | 2/10 | 2 | 7 | |||||||||
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| 13 | Azure SQL Database | 3/10 | 10 | 3 | 8 | ||||||||
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| 14 | Turso | 3/10 | 7 | 9 | 6 | ||||||||
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| 15 | PostgreSQL | 2/10 | 6 | 6 | |||||||||
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12 lower-scoring picks are not shown; every ballot below lists them in full.
Most divisive
Picks most models listed, at very different positions
- MongoDB Atlas#1 for Kimi K3 #9 for Claude Haiku 5.5
- Amazon RDS#1 for GLM-5.3 #9 for MiniMax M3
- Snowflake#1 for Mistral Large 4 #9 for Nemotron 3 Ultra
Hot takes
Picks that appear on only one ballot
- Azure Database for PostgreSQL at #6, only Nemotron 3 Ultra
- Cloudflare D1 at #7, only Qwen 3.8 Flash
- Upstash at #8, only Gemini 4 Argon
- Aiven for PostgreSQL at #8, only DeepSeek V4 Pro
- PostgreSQL on managed clouds (RDS/Cloud SQL) at #8, only MiniMax M3
- ClickHouse Cloud at #9, only Gemini 4 Argon
- Aiven at #9, only DeepSeek V4 Pro
- Railway at #10, only DeepSeek V4 Pro
- Databricks at #10, only Mistral Large 4
Every ballot
Hover a pick to find it on the other ballots. Marked picks appear on no other ballot.
Claude Haiku 5.5
- Amazon Aurora
- Google Cloud Spanner
- Neon
- Amazon DynamoDB
- Supabase
- Google Cloud SQL
- PlanetScale
- Amazon RDS
- MongoDB Atlas
- Azure SQL Database
GPT-6 Luna
- Amazon Aurora
- Google Cloud SQL
- Azure SQL Database
- MongoDB Atlas
- Snowflake
- Neon
- Supabase
- CockroachDB
- Amazon DynamoDB
- Redis
Gemini 4 Argon
- Supabase
- Neon
- Amazon RDS
- MongoDB Atlas
- PlanetScale
- CockroachDB
- Turso
- Upstash
- ClickHouse Cloud
- Amazon DynamoDB
Qwen 3.8 Flash
- Amazon Aurora
- Supabase
- PlanetScale
- Neon
- MongoDB Atlas
- Snowflake
- Cloudflare D1
- CockroachDB
- Turso
- Fauna
DeepSeek V4 Pro
- Supabase
- PlanetScale
- MongoDB Atlas
- Neon
- CockroachDB
- Turso
- Fauna
- Aiven for PostgreSQL
- Aiven
- Railway
GLM-5.3
- Amazon RDS
- MongoDB Atlas
- Snowflake
- Supabase
- PlanetScale
- Neon
- Google Cloud SQL
- Azure SQL Database
- BigQuery
- Amazon DynamoDB
Kimi K3
- MongoDB Atlas
- Amazon Aurora
- Supabase
- PlanetScale
- CockroachDB
- PostgreSQL
- PostgreSQL on Amazon RDS
- Redis
- Amazon RDS
- Google Cloud SQL
MiniMax M3
- MongoDB Atlas
- Supabase
- PlanetScale
- Redis
- Neon
- PostgreSQL
- PostgreSQL on Amazon RDS
- PostgreSQL on managed clouds (RDS/Cloud SQL)
- Amazon RDS
- Google Cloud SQL
Mistral Large 4
- Snowflake
- MongoDB Atlas
- PlanetScale
- Amazon RDS
- Redis
- Amazon Aurora
- Supabase
- Amazon DynamoDB
- BigQuery
- Databricks
Nemotron 3 Ultra
- MongoDB Atlas
- PlanetScale
- Amazon RDS
- Amazon Aurora
- Google Cloud SQL
- Azure Database for PostgreSQL
- Google Cloud Spanner
- Neon
- Snowflake
- CockroachDB
Who agrees with whom
Overlap between two models' lists, weighted toward the top · 100 means identical · Color runs from 18 (lightest) to 72 (darkest)
| Claude Haiku 5.5 | GPT-6 Luna | Gemini 4 Argon | Qwen 3.8 Flash | DeepSeek V4 Pro | GLM-5.3 | Kimi K3 | MiniMax M3 | Mistral Large 4 | Nemotron 3 Ultra | |
|---|---|---|---|---|---|---|---|---|---|---|
| Claude Haiku 5.5 | 53 | 28 | 58 | 21 | 24 | 34 | 21 | 18 | 27 | |
| GPT-6 Luna | 53 | 21 | 59 | 20 | 31 | 37 | 19 | 27 | 31 | |
| Gemini 4 Argon | 28 | 21 | 48 | 71 | 46 | 37 | 46 | 30 | 33 | |
| Qwen 3.8 Flash | 58 | 59 | 48 | 56 | 34 | 54 | 49 | 34 | 35 | |
| DeepSeek V4 Pro | 21 | 20 | 71 | 56 | 36 | 44 | 56 | 31 | 38 | |
| GLM-5.3 | 24 | 31 | 46 | 34 | 36 | 39 | 44 | 57 | 49 | |
| Kimi K3 | 34 | 37 | 37 | 54 | 44 | 39 | 72 | 42 | 58 | |
| MiniMax M3 | 21 | 19 | 46 | 49 | 56 | 44 | 72 | 46 | 54 | |
| Mistral Large 4 | 18 | 27 | 30 | 34 | 31 | 57 | 42 | 46 | 51 | |
| Nemotron 3 Ultra | 27 | 31 | 33 | 35 | 38 | 49 | 58 | 54 | 51 |