Softwr

Databases · head to head

DuckDB vs Neon

DuckDB logo

DuckDB

Databases

MIT-licensed analytical SQL database that runs inside your process, with no server, no dependencies and one writer at a time.

From
Free
Rated
-
Full reviewWebsite
Neon logo

Neon

Cloud

Serverless Postgres for modern developers

From
Free
Rated
-
Full reviewWebsite

The short version

  • Each has a real cost: DuckDB a database file accepts one read-write process at a time; other processes must open it read-only and will not see subsequent writes, so DuckDB cannot be the shared database behind several services.; Neon compute pricing at $0.106-$0.222/CU-hour means costs scale directly with workload, unlike fixed-price alternatives
  • They diverge on capability: DuckDB covers In-process execution, Neon covers Serverless PostgreSQL.
  • Prices and features above were last checked on 30 August 2026.

Where they differ

Only the attributes on which DuckDB and Neon actually diverge.

Attributes where DuckDB and Neon differ
AttributeDuckDBNeon
Pricing modelopen-sourceUnknown
PlatformsLinux, macOS, Windows, WebAssemblyCloud
CategoryDatabasesCloud
Founded20192021

Identical on both: starting price (Free), free tier (Yes), user rating (Not yet rated).

What each one covers

Drawn from each product's published feature list. An absence here means we hold no record of it - not that the product lacks it.

Only in DuckDB

  • In-process execution
  • Vectorised columnar engine
  • Direct file querying
  • Zero dependencies
  • Larger-than-memory queries
  • MIT licence
  • Postgres-flavoured SQL
  • Extension ecosystem

Only in Neon

  • Serverless PostgreSQL
  • Database Branching
  • Autoscaling
  • Bottomless Storage
  • Point-in-time Recovery
  • Connection Pooling
  • Read Replicas
  • Instant Cloning

What people use each for

The jobs each tool is most often brought in to do.

DuckDB

  • Transformation steps in a data pipeline that would otherwise need Spark, replaced by SQL over Parquet in a single processnot Neon
  • Analytical queries embedded in an application or a dashboard where shipping a database server alongside it is not acceptablenot Neon
  • Local exploration of files that are too large for a pandas dataframe but far too small to justify a warehousenot Neon
  • Continuous integration and testing of analytical SQL, where a real engine can run in the test process without provisioning anythingnot Neon

Neon

  • Serverless applicationsnot DuckDB
  • Development databasesnot DuckDB
  • Preview environmentsnot DuckDB
  • Testingnot DuckDB

Where each one falls short

Documented limitations, not opinions. Every one is a constraint you would hit in normal use.

DuckDB

  • A database file accepts one read-write process at a time; other processes must open it read-only and will not see subsequent writes, so DuckDB cannot be the shared database behind several services.
  • There is no network protocol, authentication or user management, so exposing it to remote clients means writing and securing your own service around it.
  • It is built for scans and aggregations, not for many small transactions, so a workload of high-frequency single-row inserts and updates performs badly compared with SQLite or Postgres.
  • Storage files are backwards compatible but not forwards compatible, so a file written by a newer version cannot be read by an older one and every consumer of a shared file must be upgraded together.
  • Query memory settings matter: some operations still need to hold significant state, so an under-configured memory limit turns a large join or a high-cardinality aggregation into a spill-heavy query or an out-of-memory failure rather than a slow success.

Neon

  • Compute pricing at $0.106-$0.222/CU-hour means costs scale directly with workload, unlike fixed-price alternatives
  • Separation of compute and storage may add complexity to cost prediction compared to all-in-one plans

Pricing, plan by plan

DuckDB

Free

No published plan breakdown. See the DuckDB review.

Neon

Free
  • FreeFree
    • 100 CU-hours/month
    • 0.5 GB storage
    • 1 project
  • Launch$15/month
    • Pay-as-you-go compute
    • $0.35/GB storage
    • Multiple projects
  • Scale$31/month
    • Higher compute rates
    • 99.95% SLA
    • HIPAA compliance

Which should you pick?

Choose DuckDB if

  • You need in-process execution.
  • You want to start without paying.
  • You work on Linux, macOS, Windows, WebAssembly.
  • You also want vectorised columnar engine.
DuckDB review

Choose Neon if

  • You need serverless postgresql.
  • You want to start without paying.
  • You work on Cloud.
  • You also want database branching.
Neon review

Questions people ask

Is DuckDB or Neon better?
Neither clearly leads. DuckDB starts at Free and Neon at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
Which is cheaper, DuckDB or Neon?
DuckDB starts at Free and Neon at Free.
Does DuckDB or Neon run on more platforms?
DuckDB runs on Linux, macOS, Windows, WebAssembly. Neon runs on Cloud.
Can I use DuckDB for free?
Both have a free tier, so you can try either at no cost before committing.
What is DuckDB best used for?
DuckDB is most often used for transformation steps in a data pipeline that would otherwise need spark, replaced by sql over parquet in a single process, analytical queries embedded in an application or a dashboard where shipping a database server alongside it is not acceptable, local exploration of files that are too large for a pandas dataframe but far too small to justify a warehouse, continuous integration and testing of analytical sql, where a real engine can run in the test process without provisioning anything. Of those, transformation steps in a data pipeline that would otherwise need spark, replaced by sql over parquet in a single process and analytical queries embedded in an application or a dashboard where shipping a database server alongside it is not acceptable are not what Neon is typically brought in for.
What can DuckDB do that Neon cannot?
DuckDB covers In-process execution, Vectorised columnar engine, Direct file querying, Zero dependencies. Neon covers Serverless PostgreSQL, Database Branching, Autoscaling, Bottomless Storage.

Answered from the vendors’ own pages

DuckDB: Can multiple applications share one DuckDB database?

Not for writing. One process holds the database read-write; others may attach read-only and will not see later writes. Shared multi-writer access needs a different database or a table format with a catalogue.

Neon: What is Neon and what makes it different?

Neon is a serverless PostgreSQL database that separates compute and storage, enabling automatic scaling and instant database branching. After acquisition by Databricks in May 2025, pricing has been significantly reduced.

Source
DuckDB: Is it a replacement for a data warehouse?

For single-node analytical workloads up to a few hundred gigabytes it very often is. It is not a replacement when many concurrent users need a shared, governed, always-on service.

Neon: Does Neon offer a free tier?

Yes, Neon's free tier includes 100 compute units per month and 0.5 GB of storage. This is suitable for development and small projects.

Source
DuckDB: Do I have to load data into it?

No. It queries Parquet, CSV, JSON and Arrow in place, including on object storage. Its own storage format is optional and mainly useful when you want indexes, constraints and faster repeated access.

Neon: What are the paid plans and pricing for Neon?

Neon offers consumption-based pricing on Launch ($0.106/CU-hour, approximately $15/month) and Scale ($0.222/CU-hour, approximately $31/month) plans with separate storage billing at $0.35/GB-month. No monthly minimum required.

Source
DuckDB: What is MotherDuck's relationship to it?

MotherDuck is a separate company offering a managed and hybrid service built on the DuckDB engine. DuckDB itself remains MIT-licensed and independent of it, with the IP held by the DuckDB Foundation.

Neon: What features does Neon provide?

Neon includes git-like branching for database copies, point-in-time recovery, data anonymization for testing, managed authentication, serverless functions, and object storage that branches with projects.

Source
DuckDB: Is it suitable for OLTP?

No. It is designed for analytical scans. For transactional workloads with frequent small writes, SQLite or Postgres is the right tool.

Neon: What compliance and reliability guarantees does Neon provide?

Neon's Scale tier offers 99.95% uptime SLA, HIPAA compliance, SOC2 certification, and private networking via PrivateLink at no extra cost.

Source
Share

Related pages

More on DuckDB

More on Neon

Keep looking

Other head to heads