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Databases · head to head

DuckDB vs Nomad

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
Nomad logo

Nomad

Cloud

Flexible workload orchestration

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.; Nomad nomad 1.7.0 and later is licensed under the Business Source License 1.1 with IBM Corporation as licensor, not an OSI open source licence
  • They diverge on capability: DuckDB covers In-process execution, Nomad covers Container orchestration.
  • Prices and features above were last checked on 30 August 2026.

Where they differ

Only the attributes on which DuckDB and Nomad actually diverge.

Attributes where DuckDB and Nomad differ
AttributeDuckDBNomad
PlatformsLinux, macOS, Windows, WebAssemblyLinux, Windows, Mac, Cloud
CategoryDatabasesCloud
Founded20192015

Identical on both: starting price (Free), pricing model (open-source), 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 Nomad

  • Container orchestration
  • Job scheduling
  • Multi-cloud support
  • Auto-scaling
  • Service discovery
  • Rolling deployments
  • Monitoring integration
  • High availability

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

Nomad

  • Container and workload orchestration across infrastructurenot DuckDB
  • Multi-region application deploymentnot DuckDB
  • Flexible scheduling for batch jobs and servicesnot 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.

Nomad

  • Nomad 1.7.0 and later is licensed under the Business Source License 1.1 with IBM Corporation as licensor, not an OSI open source licence
  • The Additional Use Grant forbids offering Nomad to third parties on a hosted or embedded basis in a paid product that competes with IBM's paid versions
  • Each version converts to MPL 2.0 only four years after that version is published
  • Resource quotas, Sentinel policies and audit logging sit in a Governance and Policy add-on module that is separate from the Enterprise base platform package
  • Multi-region deployments, multiple Vault namespaces and Nomad Autopilot advanced server management require Nomad Enterprise

Pricing, plan by plan

DuckDB

Free

No published plan breakdown. See the DuckDB review.

Nomad

Free
  • Open SourceFree
    • Workload orchestration
    • Multi-cloud
    • Flexible scheduling

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 Nomad if

  • You need container orchestration.
  • You want to start without paying.
  • You work on Linux, Windows, Mac, Cloud.
  • You also want job scheduling.
Nomad review

Questions people ask

Is DuckDB or Nomad better?
Neither clearly leads. DuckDB starts at Free and Nomad at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
Which is cheaper, DuckDB or Nomad?
DuckDB starts at Free and Nomad at Free.
Does DuckDB or Nomad run on more platforms?
DuckDB runs on Linux, macOS, Windows, WebAssembly. Nomad runs on Linux, Windows, Mac, 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 Nomad is typically brought in for.
What can DuckDB do that Nomad cannot?
DuckDB covers In-process execution, Vectorised columnar engine, Direct file querying, Zero dependencies. Nomad covers Container orchestration, Job scheduling, Multi-cloud support, Auto-scaling.

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.

Nomad: Is HashiCorp Nomad free?

HashiCorp Nomad is open source and free to use. Commercial enterprise support and hosting options may be available through HashiCorp, but the core product is free.

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.

Nomad: Does HashiCorp Nomad have a pricing model?

Nomad is open source software with no published pricing tiers. HashiCorp offers commercial hosting and support for their products on a usage-based or custom pricing model, but Nomad itself is free to download and deploy.

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.

Nomad: What is HashiCorp's pricing model for enterprise Nomad?

HashiCorp offers flexible pricing for enterprise Nomad support including pay-as-you-go (PAYG) billing with no long-term commitment, flex plans with preferred pricing, and enterprise self-managed plans. Contact HashiCorp sales for custom quotes.

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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