whichdb
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DuckDB vs LadybugDB

DuckDB: In-process columnar SQL database: the SQLite of analytics, running inside your app or notebook. LadybugDB: Community-maintained continuation of Kùzu: embedded columnar graph database with Cypher.

key differences

  • DuckDB is primarily a columnar / OLAP database; LadybugDB is graph.
  • Only DuckDB has joins, secondary indexes, geospatial, json, in-memory.

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

choose ladybugdb for

  • +Embedded graph analytics in Python notebooks
  • +Local GraphRAG and agent memory
  • +Migrating from archived Kùzu
  • +In-browser graph exploration via WebAssembly

best at · Graph analytics, Embedded, Knowledge graph

DuckDBIn-process columnar SQL database: the SQLite of analytics, running inside your app or notebook.
LadybugDBCommunity-maintained continuation of Kùzu: embedded columnar graph database with Cypher.
overview
Primary model
Columnar / OLAP
Graph
Also supports
Relational, Document, Spatial, Vector
Vector
Type
Database engine
Database engine
Status
Active
Active
Developer
DuckDB Foundation / DuckDB Labs
LadybugDB developers (sponsored by Ladybug Memory)
First release
2019
2025
Latest version
2.0.0 (Oct 21, 2026)
0.22.0 (Oct 25, 2026)
License
Open source (permissive)MIT License
Open source (permissive)MIT License
Free tier
✓
✓
popularity
WhichDB Score
63.7
20.7
Rank
#13
#153
GitHub stars
42.6K
1.9K
Stack Overflow questions
501
–
scale & guarantees
Comfortable data size
Medium (≤ 10 TB)
Medium (≤ 10 TB)
Horizontal scaling
None
None
Multi-region
None
None
ACID
Full
Full
Consistency
Strong
Strong
Schema
Strict
Strict
Architecture
Embedded, Single node, In memory
Embedded
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 (PostgreSQL-like dialect)
Cypher
Client languages
Python, R, Java, JavaScript, Go, Rust, C, Swift
Python, JavaScript, Rust, Java
Best for
OLAP, Embedded, Lakehouse, Warehouse
Graph analytics, Embedded, Knowledge graph, RAG
Add more to this comparisonNot sure either fits? Try smart match

DuckDB vs LadybugDB: FAQ

What is the difference between DuckDB and LadybugDB?

DuckDB: In-process columnar SQL database: the SQLite of analytics, running inside your app or notebook. LadybugDB: Community-maintained continuation of Kùzu: embedded columnar graph database with Cypher. DuckDB is primarily a columnar / OLAP database; LadybugDB is graph. Only DuckDB has joins, secondary indexes, geospatial, json, in-memory.

When should I choose DuckDB over LadybugDB?

Choose DuckDB for local data analysis in notebooks; ETL and data-engineering pipelines on files; and embedded analytics inside applications. Choose LadybugDB for embedded graph analytics in Python notebooks; local GraphRAG and agent memory; and migrating from archived Kùzu.

Is DuckDB or LadybugDB more popular?

DuckDB ranks #13 on the WhichDB Score (63.7/100) and LadybugDB ranks #153 (20.7/100). Popularity is not fit: check the requirements that matter for your project.

Are DuckDB and LadybugDB open source?

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