# 90× faster than Neon for analytics

Source: https://www.hotdata.dev/compare/neon
Site index: https://www.hotdata.dev/llms.txt

Keep Neon for your app. Query it with Hotdata.

## At a glance

| | Hotdata | Neon |
| --- | --- | --- |
| What it is | A columnar Rust query engine built for low latency at high concurrency. | Serverless Postgres for app reads and writes. |
| Where data lives | Queries your sources in place, or Parquet in an instant database. | Postgres storage. |
| Deployment | In your VPC, run by us. Or fully managed. | Managed service. |
| Pricing | Compute runs only while queries run. | Compute hours, plus storage. |
| Concurrency | 90×+ the throughput of Neon with 10 concurrent clients. | A single Postgres compute that autoscales. |
| Snapshots and copies | Snapshots, time travel, and forks. | Instant branches. |
| Search | Vector, full-text, and geospatial in one SQL query. | Postgres extensions like pgvector. |
| SQL | Postgres-familiar HotSQL. PostgreSQL runs as written. | PostgreSQL. |

90×+: Faster than Neon.

## Performance

TPC-H SF1 · 22 queries · 10 concurrent clients.

| System | Hardware | p50 | p95 | Queries/s |
| --- | --- | --- | --- | --- |
| Hotdata | 4 vCPU · 16 GiB | 0.17 s | 0.38 s | 51.1 |
| Neon | — | 10.50 s | 34.96 s | 0.53 |

## When to choose Hotdata

- You want analytics 90× faster than on Postgres.
- You want reporting and search traffic off your production database.
- You need to join Postgres with a warehouse, a lake, or files in one query.
- Your Postgres queries should run as written.

## When Neon still fits

- Your application needs a transactional database for reads and writes by key.
- You want instant Postgres branches for preview environments.

## Using Hotdata with Neon

Connect Neon as a read-only source. Neon handles transactions, and Hotdata handles analytics. We run it this way ourselves. See [How Hotdata accelerates Neon and Supabase](/blog/how-hotdata-accelerates-neon-and-supabase).

## Get started

The [quick start](/docs/quick-start) gets a table into Hotdata in a few minutes.