vs

AlaSQL vs DuckDB

AlaSQL: Pure-JavaScript in-memory SQL engine for browsers and Node.js that queries arrays, JSON, CSV and Excel files. DuckDB: In-process columnar SQL database: the SQLite of analytics, running inside your app or notebook.

key differences

  • AlaSQL is primarily a relational database; DuckDB is columnar / OLAP.
  • DuckDB is built for larger datasets (≤ 10 TB) than AlaSQL (≤ 100 GB).
  • Transactions: AlaSQL offers limited ACID; DuckDB offers full.
  • Only DuckDB has transactions, secondary indexes, full-text search, vector search, geospatial.

choose alasql for

  • +Client-side filtering, grouping and joining of JSON API results
  • +Exporting app data to Excel or CSV from the browser
  • +Quick data transforms in Node.js scripts
  • +Prototyping SQL logic without a database server

best at · Embedded, OLAP, Local-first

choose duckdb for

  • +Local data analysis in notebooks
  • +ETL and data-engineering pipelines on files
  • +Embedded analytics inside applications
  • +Querying data lakes on S3 without a cluster

best at · OLAP, Embedded, Lakehouse

overview
Primary model
Relational
Columnar / OLAP
Also supports
Document
Relational, Document, Spatial, Vector
Type
Embedded library
Database engine
Status
Active
Active
Developer
Andrey Gershun, Mathias Rangel Wulff and contributors
DuckDB Foundation / DuckDB Labs
First release
2014
2019
Latest version
4.21.0 (Oct 21, 2026)
2.0.0 (Oct 21, 2026)
License
Open source (permissive)MIT License
Open source (permissive)MIT License
Free tier
✓
✓
popularity
WhichDB Score
20.2
63.7
Rank
#159
#13
GitHub stars
7.3K
42.6K
Stack Overflow questions
229
501
scale & guarantees
Comfortable data size
Small (≤ 100 GB)
Medium (≤ 10 TB)
Horizontal scaling
None
None
Multi-region
None
None
ACID
Limited
Full
Consistency
Strong
Strong
Schema
Flexible
Strict
Architecture
Embedded, In memory
Embedded, Single node, In memory
deployment
Self-hosted
—
✓
Vendor-managed cloud
—
—
Serverless
—
—
Embedded
✓
✓
Edge
—
—
Clouds
–
–
capabilities
Transactions
—
✓
Joins
✓
✓
Secondary indexes
—
✓
Full-text search
—
✓
Vector search
—
✓
Geospatial
—
✓
JSON
✓
✓
Change data capture
—
—
Triggers
—
—
Stored procedures
—
—
Materialized views
—
—
TTL / expiry
—
—
Pub/Sub
—
—
Columnar storage
—
✓
In-memory
✓
✓
Durable persistence
✓
✓
Compression
—
✓
Encryption at rest
—
✓
Role-based access
—
—
Time travel
—
—
Branching
—
—
Online schema changes
—
—
Streaming ingest
—
—
Offline sync
—
—
Runs in WebAssembly
—
✓
interfaces
Query languages
SQL
SQL (PostgreSQL-like dialect)
Client languages
JavaScript, TypeScript
Python, R, Java, JavaScript, Go, Rust, C, Swift
Best for
Embedded, OLAP, Local-first
OLAP, Embedded, Lakehouse, Warehouse

AlaSQL vs DuckDB: FAQ

What is the difference between AlaSQL and DuckDB?

AlaSQL: Pure-JavaScript in-memory SQL engine for browsers and Node.js that queries arrays, JSON, CSV and Excel files. DuckDB: In-process columnar SQL database: the SQLite of analytics, running inside your app or notebook. AlaSQL is primarily a relational database; DuckDB is columnar / OLAP. DuckDB is built for larger datasets (≤ 10 TB) than AlaSQL (≤ 100 GB). Transactions: AlaSQL offers limited ACID; DuckDB offers full.

When should I choose AlaSQL over DuckDB?

Choose AlaSQL for client-side filtering, grouping and joining of JSON API results; exporting app data to Excel or CSV from the browser; and quick data transforms in Node.js scripts. Choose DuckDB for local data analysis in notebooks; ETL and data-engineering pipelines on files; and embedded analytics inside applications.

Is AlaSQL or DuckDB more popular?

DuckDB ranks #13 on the WhichDB Score (63.7/100) and AlaSQL ranks #159 (20.2/100). Popularity is not fit: check the requirements that matter for your project.

Are AlaSQL and DuckDB open source?

Yes. AlaSQL is open source. License: MIT License. Yes. DuckDB is open source. License: MIT License.