Databases · head to head
DuckDB vs SQLite
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
- -
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.; SQLite supports only serialized write operations; only one process can modify the database at any moment, limiting concurrent users
- They diverge on capability: DuckDB covers In-process execution, SQLite covers Serverless Operation.
- Prices and features above were last checked on 30 August 2026.
Where they differ
Only the attributes on which DuckDB and SQLite actually diverge.
Identical on both: starting price (Free), pricing model (open-source), 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 SQLite
- Serverless Operation
- Zero Configuration
- Single File Database
- Cross-platform
- Full SQL Support
- ACID Compliance
- Self-contained
- Browser Storage
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 SQLite
- Analytical queries embedded in an application or a dashboard where shipping a database server alongside it is not acceptablenot SQLite
- Local exploration of files that are too large for a pandas dataframe but far too small to justify a warehousenot SQLite
- Continuous integration and testing of analytical SQL, where a real engine can run in the test process without provisioning anythingnot SQLite
SQLite
- Transaction processingnot DuckDB
- Data storagenot DuckDB
- Application backendnot DuckDB
- Reportingnot DuckDB
- Data analyticsnot 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.
SQLite
- Supports only serialized write operations; only one process can modify the database at any moment, limiting concurrent users
- No multi-user support or granular access control; relies on file system permissions for security only
- Limited ALTER TABLE functionality cannot edit or modify columns in existing tables
Pricing, plan by plan
DuckDB
FreeNo published plan breakdown. See the DuckDB review.
SQLite
Free- Public DomainFree
- Serverless
- Zero-configuration
- Cross-platform
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.
Choose SQLite if
- You need serverless operation.
- You want to start without paying.
- You work on Linux, macOS, Windows, iOS, Android.
- You also want zero configuration.
Questions people ask
- Is DuckDB or SQLite better?
- Neither clearly leads. DuckDB starts at Free and SQLite at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
- Which is cheaper, DuckDB or SQLite?
- DuckDB starts at Free and SQLite at Free.
- Does DuckDB or SQLite run on more platforms?
- DuckDB runs on Linux, macOS, Windows, WebAssembly. SQLite runs on Linux, macOS, Windows, iOS, Android.
- 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 SQLite is typically brought in for.
- What can DuckDB do that SQLite cannot?
- DuckDB covers In-process execution, Vectorised columnar engine, Direct file querying, Zero dependencies. SQLite covers Serverless Operation, Zero Configuration, Single File Database, Cross-platform.
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.
SQLite: Is SQLite free and open source?
Yes, SQLite is open source and in the public domain. The complete source code and binaries are free to download and use for any purpose without restrictions.
SourceDuckDB: 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.
SQLite: How does SQLite work and what is its design?
SQLite is a self-contained, serverless SQL database engine that reads and writes directly to disk files. It requires no separate server process and runs within your application, making it ideal for embedded systems and local storage.
SourceDuckDB: 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.
SQLite: What are SQLite's limitations for scaling?
SQLite does not support true multi-user concurrency. Only one process can write to the database at a time, and it lacks user management and access control features. It is designed for small to medium projects, not enterprise applications with many concurrent users.
SourceDuckDB: 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.
SQLite: Can I use SQLite for production web applications?
SQLite can work for single-server web applications with modest concurrency needs. However, it lacks features like user management, granular security, and sophisticated query optimization needed for large-scale applications.
SourceDuckDB: 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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