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Neon is a Postgres backend for teams that want database branching or need to handle variable database load. The pricing page gives it a free plan and a $15 starting price, and warns that usage-based pricing needs careful budgeting. That alone is not a reason to move: first decide whether you need PostgreSQL, a document database, or an analytics-focused tool. These six alternatives cover those different needs, with listed starting prices where available.
01Why people leave Neon
Usage-based costs need budgeting
Neon is listed from $15 with a free plan, but its usage-based pricing calls for careful budgeting. Compare costs against your workload before switching.
Your workload is analytics-first
If you mainly query large datasets or wrangle local files, compare analytics-focused options such as ClickHouse or DuckDB rather than choosing only by Postgres fit.
You need document-first data
For applications built around document data, MongoDB or MongoDB Atlas may fit better than a Postgres backend.
02The alternatives, ranked by fit
- Closest Postgres alternative
PostgreSQLPostgreSQLPostgreSQL is the closest engine-level alternative if you want to keep relational data and JSON needs in view while moving away from Neon. It is open source and listed with a free plan; no starting price is published. Choose it if you are comfortable planning schemas and want to evaluate the database separately from Neon’s usage-based pricing.
Trade-off: You still need to plan schemas; its flexibility is not a substitute for that work.
8.0/10from
Freefree plan - Document apps and vector search
MongoDB AtlasMongoDB AtlasMongoDB Atlas is worth comparing if your application is document-based or combines database and vector search. The listing gives it a free entry point and a starting price of $8. That makes it a candidate for teams whose reason to leave Neon is a different data model, rather than a search for another Postgres backend.
Trade-off: It is not a like-for-like Postgres replacement, and costs can climb with usage.
7.3/10from
$8/mofree plan - Existing MySQL applications
MySQLMySQLMySQL makes the most sense when you are maintaining an application that already uses MySQL, or need to evaluate its specific offerings. The listing includes a free plan and a $178.33 starting price. It is a database-engine change from Neon, so treat compatibility as a migration question rather than assuming you can switch without application work.
Trade-off: You give up the Postgres engine; check application compatibility before switching.
6.8/10from
$178.33/mofree plan - Document-first application data
MongoDBMongoDBMongoDB is a fit when the application is built around document-first data, not simply because it stores JSON. The listing gives it a free plan and an $8 starting price. Compare it with Neon if your main reason to move is that a document model better matches the application’s data than the Postgres approach.
Trade-off: Choose it for document-first workloads, not as a default Postgres substitute.
7.2/10from
$8/mofree plan - Real-time analytics
ClickHouseClickHouseClickHouse is aimed at real-time analytics and SQL workloads over large datasets, so it is a better comparison when analytics—not a general Postgres backend—is the priority. The listing includes local and cloud options, but no starting price is published. It may suit teams prepared to handle the engineering and variable cloud bill.
Trade-off: The engineering work and variable cloud bill need scrutiny.
7.8/10from
Custom - Local SQL analytics
DuckDBDuckDBDuckDB is a strong candidate if your work centers on local SQL data wrangling or CSV and Parquet files. The listing describes it as a free analytical database and does not publish a starting price. Consider it when Neon is more database service than your analytics workflow needs, while checking concurrency and support details.
Trade-off: Verify concurrency and support details before relying on it for team use.
8.0/10from
Freefree plan
03Side by side
| Tool | Score | From | Free plan | Best for |
|---|---|---|---|---|
 Neon Neon (current) | 7.0 | $15/mo | Yes | Teams building on Postgres |
| PostgreSQL PostgreSQL | 8.0 | Free | Yes | Teams choosing an open-source database |
| MongoDB Atlas MongoDB Atlas | 7.3 | $8/mo | Yes | Teams building document-based applications |
| MySQL MySQL | 6.8 | $178.33/mo | Yes | Teams maintaining existing MySQL applications |
| MongoDB MongoDB | 7.2 | $8/mo | Yes | Document-first application data |
| ClickHouse ClickHouse | 7.8 | Custom | No | Teams building real-time analytics |
| DuckDB DuckDB | 8.0 | Free | Yes | SQL-based local data wrangling |
Questions people ask
What is the closest Neon alternative?
PostgreSQL is the closest engine-level alternative in this list: it is open source, supports relational data and JSON needs, and is listed with a free plan. Its starting price is not published. It is still important to plan schemas, and the listing does not specify hosting or service details.
Which Neon alternatives have a free plan?
The pricing page show free plans for PostgreSQL, MySQL, MongoDB, and MongoDB Atlas. DuckDB is listed as a free analytical database. Those options have different workloads and starting-price details, so a free entry point does not by itself make one a direct Neon replacement.
Which Neon alternative should I consider for analytics?
Compare ClickHouse for real-time analytics and SQL over large datasets, or DuckDB for local SQL data wrangling and CSV or Parquet files. Neither has a published starting price on the pricing page; DuckDB is described as free. Check ClickHouse’s engineering and variable-cloud-bill tradeoffs, and DuckDB’s concurrency and support details.