APM, error tracking, and dashboards for modern web apps. Ten-minute setup, transparent flat pricing, and support from engineers who actually use the product. Learn more →
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ladybug discussion
ladybug reviews and mentions
- LatticeDB – Like SQLite but for graph databases
- I Analyzed 163K Lines of Kuzu's Codebase. Here's Why Apple Wanted It
- DuckPGQ – A DuckDB community extension for graph workloads
- Ladybug: DuckDB of Graph Databases
- A open-source graph database that lives in your S3 bucket
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Grafeo – A fast, lean, embeddable graph database built in Rust
Thank you for the shout out! I looked into your benchmark setup a bit. Two things going on:
- Ladybug by default allocates 80% of the physical memory to the buffer pool. You can limit it. This wasn't the main reason.
- Much of the RSS is in ladybug native memory connected to the python connection object. I noticed that you keep the connection open between benchmark runs. For whatever reason, python is not able to garbage collect the memory.
We ran into similar lifetime issues with golang and nodejs bindings as well. Many race conditions where the garbage collector releases memory while another thread still has a reference to native memory. We now require that the connection be closed for the memory to be released.
https://github.com/LadybugDB/ladybug/issues/320
- LadybugDB: DuckDB for Graphs
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GraphQL: The Enterprise Honeymoon Is Over
It's interesting to see people use the term "GQL" to refer to GraphQL.
https://www.gqlstandards.org/ is an ISO standard. The Graph Database people don't love search engine results when they're looking for something.
I maintain a graph database where support for GQL often comes up.
https://github.com/LadybugDB/ladybug/issues/6
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A note from our sponsor - AppSignal
www.appsignal.com | 6 Sep 2026
Stats
LadybugDB/ladybug is an open source project licensed under MIT License which is an OSI approved license.
The primary programming language of ladybug is C++.