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Databases · head to head

DuckDB vs Neo4j

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
Neo4j logo

Neo4j

Databases

The world's leading graph database

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.; Neo4j auraDB Free has no service availability SLA, no backups and no point-in-time recovery
  • They diverge on capability: DuckDB covers In-process execution, Neo4j covers Native Graph Storage.
  • Prices and features above were last checked on 30 August 2026.

Where they differ

Only the attributes on which DuckDB and Neo4j actually diverge.

Attributes where DuckDB and Neo4j differ
AttributeDuckDBNeo4j
Pricing modelopen-sourcefreemium
PlatformsLinux, macOS, Windows, WebAssemblyLinux, Windows, Mac, Docker, Web
Founded20192007

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

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 Neo4j

  • Native Graph Storage
  • Cypher Query Language
  • ACID Transactions
  • High Availability
  • Graph Data Science
  • Full-text Search
  • Native Indexes
  • GraphQL

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 Neo4j
  • Analytical queries embedded in an application or a dashboard where shipping a database server alongside it is not acceptablenot Neo4j
  • Local exploration of files that are too large for a pandas dataframe but far too small to justify a warehousenot Neo4j
  • Continuous integration and testing of analytical SQL, where a real engine can run in the test process without provisioning anythingnot Neo4j

Neo4j

  • Graph database for learning and explorationnot DuckDB
  • Production workloads requiring high availability and multi-zone redundancynot DuckDB
  • Enterprise deployments needing custom infrastructurenot 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.

Neo4j

  • AuraDB Free has no service availability SLA, no backups and no point-in-time recovery
  • AuraDB Free imposes limits on node and relationship counts and runs single-zone only
  • SSO authentication and role-based access control are excluded from AuraDB Free and AuraDB Professional, starting only at Business Critical at $146 per GB per month with a 2GB minimum cluster
  • AuraDB Professional starts at $65 per GB per month with a minimum 1GB cluster and caps at 128GB memory per instance
  • AuraDB Professional backups are daily with only 7-day retention, against 30 days on Business Critical
  • Customer managed keys and private endpoints are available only on AuraDB Virtual Dedicated Cloud, which is quote only with no published price
  • Change data capture, query log forwarding, secondaries and access to Neo4j Professional Services are excluded below the Business Critical tier
  • Support on AuraDB Free is community only and AuraDB Professional is best effort, with 24x7 one-hour response starting at Business Critical
  • AuraDB Virtual Dedicated Cloud is sold on prepaid contract terms with enterprise commercial negotiation rather than self-serve card payment

Pricing, plan by plan

DuckDB

Free

No published plan breakdown. See the DuckDB review.

Neo4j

Free
  • FreeFree
    • Learning and exploration access
    • No credit card required
    • All graph tools included
  • AuraDB Professional$65/GB/month
    • 1GB minimum cluster
    • Hourly billing available ($0.09/hour for 1GB)
    • Daily backups with 7-day retention
  • AuraDB Business Critical$146/GB/month
    • 2GB minimum cluster
    • Hourly billing available ($0.40/hour for 2GB)
    • Up to 512GB maximum
  • Virtual Dedicated Cloud$null/custom
    • Custom pricing via sales contact
    • Dedicated VPC infrastructure
    • Hourly backups with 60-day retention

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 Neo4j if

  • You need native graph storage.
  • You want to start without paying.
  • You work on Linux, Windows, Mac, Docker, Web.
  • You also want cypher query language.
Neo4j review

Questions people ask

Is DuckDB or Neo4j better?
Neither clearly leads. DuckDB starts at Free and Neo4j at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
Which is cheaper, DuckDB or Neo4j?
DuckDB starts at Free and Neo4j at Free.
Does DuckDB or Neo4j run on more platforms?
DuckDB runs on Linux, macOS, Windows, WebAssembly. Neo4j runs on Linux, Windows, Mac, Docker, Web.
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 Neo4j is typically brought in for.
What can DuckDB do that Neo4j cannot?
DuckDB covers In-process execution, Vectorised columnar engine, Direct file querying, Zero dependencies. Neo4j covers Native Graph Storage, Cypher Query Language, ACID Transactions, High Availability.

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.

Neo4j: Is Neo4j free?

Neo4j offers a free tier (AuraDB Free) for learning and exploration with no credit card required. Community Edition is also free and GPL3-licensed. Paid tiers start at $65/GB per month for AuraDB Professional.

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.

Neo4j: What does Neo4j's Professional tier include?

AuraDB Professional costs $65/GB per month with a 1GB minimum cluster, includes daily backups with 7-day retention, single-zone availability, and best-effort support. Hourly billing is available at $0.09/hour per GB.

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.

Neo4j: What is Neo4j's most advanced pricing tier?

AuraDB Business Critical costs $146/GB per month with a 2GB minimum and includes multi-zone redundancy, 99.95% uptime SLA, 24/7 premium support with one-hour response times, and point-in-time recovery.

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.

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.

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