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Databases · head to head

Cockroach Labs vs DuckDB

Cockroach Labs logo

Cockroach Labs

Databases

The cloud-native distributed SQL database

From
Free
Rated
-
Full reviewWebsite
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

The short version

  • Each has a real cost: Cockroach Labs basic and Standard tiers limited to AWS and GCP (select regions only); 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.
  • They diverge on capability: Cockroach Labs covers Distributed SQL, DuckDB covers In-process execution.
  • Prices and features above were last checked on 30 August 2026.

Where they differ

Only the attributes on which Cockroach Labs and DuckDB actually diverge.

Attributes where Cockroach Labs and DuckDB differ
AttributeCockroach LabsDuckDB
Pricing modelfreemiumopen-source
PlatformsAWS, GCP, AzureLinux, macOS, Windows, WebAssembly
Founded20152019

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 Cockroach Labs

  • Distributed SQL
  • Automatic Sharding
  • Multi-region Replication
  • Geo-partitioning
  • ACID Transactions
  • Horizontal Scaling
  • Survivability
  • PostgreSQL Compatibility

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

What people use each for

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

Cockroach Labs

  • Distributed SQL database for scalable applicationsnot DuckDB
  • Multi-region deployment and failovernot DuckDB

DuckDB

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

Where each one falls short

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

Cockroach Labs

  • Basic and Standard tiers limited to AWS and GCP (select regions only)
  • Azure support restricted to Advanced tier only
  • Basic tier limited to 50 million RUs and 10 GiB storage per month
  • Advanced tier starts at $0.60/hour for 4 vCPUs minimum
  • 3 TiB maximum storage on Basic and Standard tiers, 10 TiB per node on Advanced

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.

Pricing, plan by plan

Cockroach Labs

Free

No published plan breakdown. See the Cockroach Labs review.

DuckDB

Free

No published plan breakdown. See the DuckDB review.

Which should you pick?

Choose Cockroach Labs if

  • You need distributed sql.
  • You want to start without paying.
  • You work on AWS, GCP, Azure.
  • You also want automatic sharding.
Cockroach Labs review

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

Questions people ask

Is Cockroach Labs or DuckDB better?
Neither clearly leads. Cockroach Labs starts at Free and DuckDB at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
Which is cheaper, Cockroach Labs or DuckDB?
Cockroach Labs starts at Free and DuckDB at Free.
Does Cockroach Labs or DuckDB run on more platforms?
Cockroach Labs runs on AWS, GCP, Azure. DuckDB runs on Linux, macOS, Windows, WebAssembly.
Can I use Cockroach Labs for free?
Both have a free tier, so you can try either at no cost before committing.
What is Cockroach Labs best used for?
Cockroach Labs is most often used for distributed sql database for scalable applications, multi-region deployment and failover. Of those, distributed sql database for scalable applications and multi-region deployment and failover are not what DuckDB is typically brought in for.
What can Cockroach Labs do that DuckDB cannot?
Cockroach Labs covers Distributed SQL, Automatic Sharding, Multi-region Replication, Geo-partitioning. DuckDB covers In-process execution, Vectorised columnar engine, Direct file querying, Zero dependencies.

Answered from the vendors’ own pages

Cockroach Labs: What does the free Basic tier include?

The Basic tier is free and includes 50 million RUs and 10 GiB storage per month, with a maximum compute of 30K RU/sec. No credit card is required to start.

Source
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.

Cockroach Labs: How much do the paid tiers cost?

Standard tier starts at $0.18 per hour for 2 vCPUs, and Advanced tier starts at $0.60 per hour for 4 vCPUs. Both tiers support additional resources with higher costs for increased compute and storage.

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.

Cockroach Labs: What are the storage limits for each tier?

Basic plan supports up to 3 TiB storage, Standard tier up to 3 TiB, and Advanced tier up to 10 TiB per node with unlimited total storage.

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.

Cockroach Labs: Can I get trial credits before paying?

Yes, new users can try CockroachDB free with $400 in credits. The Basic and Standard plans do not require a credit card to start.

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.

Cockroach Labs: Do legacy contracts have different pricing?

Customers with annual or multi-year contracts entered before December 1, 2024 can view legacy pricing terms on a separate page, which apply until their contract renewal date.

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.

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