Is DuckDB or Vespa better?

Neither clearly leads. DuckDB starts at Free and Vespa at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.

Which is cheaper, DuckDB or Vespa?

DuckDB starts at Free and Vespa at Free.

Does DuckDB or Vespa run on more platforms?

DuckDB runs on Linux, macOS, Windows, WebAssembly. Vespa runs on Cloud, Self-hosted.

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 Vespa is typically brought in for.

What can DuckDB do that Vespa cannot?

DuckDB covers In-process execution, Vectorised columnar engine, Direct file querying, Zero dependencies. Vespa covers Vector search, Text and structured search, Machine-learned ranking, Real-time serving.

Databases · head to head

DuckDB vs Vespa

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 review Website

Vespa

Databases

Distributed AI search platform for retrieval, ranking, and inference

From: Free
Rated: -

Full review Website

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.; Vespa pricing not publicly listed, requires contacting sales
They diverge on capability: DuckDB covers In-process execution, Vespa covers Vector search.
Prices and features above were last checked on 30 August 2026.

Where they differ

Only the attributes on which DuckDB and Vespa actually diverge.

Attributes where DuckDB and Vespa differ
Attribute	DuckDB	Vespa
Pricing model	open-source	contact-sales
Platforms	Linux, macOS, Windows, WebAssembly	Cloud, Self-hosted
Founded	2019	2023

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 Vespa

Vector search
Text and structured search
Machine-learned ranking
Real-time serving
SQL interface
Automatic scaling
Open-source

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

Vespa

Build RAG systems with semantic search over documentsnot DuckDB
Power e-commerce search with ML rankingnot DuckDB
Create recommendation engines for personalizationnot DuckDB
Implement real-time search for news or feedsnot DuckDB
Deploy private semantic search over sensitive datanot 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.

Vespa

Pricing not publicly listed, requires contacting sales
Steeper learning curve compared to simpler search tools
Operational complexity for self-hosted deployments
Smaller ecosystem compared to cloud-native alternatives

Pricing, plan by plan

DuckDB

Free

No published plan breakdown. See the DuckDB review.

Vespa

Free

No published plan breakdown. See the Vespa review.

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 Vespa if

You need vector search.
You want to start without paying.
You work on Cloud, Self-hosted.
You also want text and structured search.

Vespa review

Questions people ask

Is DuckDB or Vespa better?: Neither clearly leads. DuckDB starts at Free and Vespa at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
Which is cheaper, DuckDB or Vespa?: DuckDB starts at Free and Vespa at Free.
Does DuckDB or Vespa run on more platforms?: DuckDB runs on Linux, macOS, Windows, WebAssembly. Vespa runs on Cloud, Self-hosted.
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 Vespa is typically brought in for.
What can DuckDB do that Vespa cannot?: DuckDB covers In-process execution, Vectorised columnar engine, Direct file querying, Zero dependencies. Vespa covers Vector search, Text and structured search, Machine-learned ranking, Real-time serving.

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.

Vespa: Is Vespa open-source?

Yes, Vespa is open-source under the Apache 2.0 license. The code is available on GitHub, and you can self-host or use the managed cloud service.

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.

Vespa: What latency can Vespa achieve?

Vespa is designed for sub-100 millisecond latencies with thousands of queries per second, suitable for real-time search and recommendation applications.

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.

Vespa: Does Vespa support vector search?

Yes, Vespa provides native vector search capabilities alongside text, structured data, and tensor operations for building comprehensive search and AI applications.

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.

Vespa: What is the pricing model for Vespa Cloud?

Vespa Cloud pricing is not publicly listed and requires contacting their sales team to discuss your specific use case and scale requirements.

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.

DuckDB vs Vespa

DuckDB

Vespa

The short version

Where they differ

What each one covers

Only in DuckDB

Only in Vespa

What people use each for

DuckDB

Vespa

Where each one falls short

DuckDB

Vespa

Pricing, plan by plan

DuckDB

Vespa

Which should you pick?

Choose DuckDB if

Choose Vespa if

Questions people ask

Answered from the vendors’ own pages

Related pages

More on DuckDB

More on Vespa

Keep looking

Other head to heads