Dgraph vs LadybugDB
Dgraph
dgraph.ioLadybugDB
ladybugdb.comSide by side
| Figure | Dgraph | LadybugDB |
|---|---|---|
| Price from | — | Free |
| Free plan | — | Yes |
| Free trial | — | — |
| Open source | — | — |
| Web | Yes | Yes |
| Windows | — | Yes |
| macOS | — | Yes |
| Linux | Yes | Yes |
| iOS | — | Yes |
| Android | — | Yes |
| API | Yes | Yes |
| Self-hosted | Yes | Yes |
| Plans published | 0 | 1 |
| Spec score · Graph Databases | 7.8 (#18) | 8.2 (#11) |
| Product | Dgraph is a graph database commonly used to build knowledge graphs and real-time applications. | Ladybug is an embedded graph database optimized for complex analytical workloads on very large graphs. |
| Query language | DQL supports graph queries, mutations, filtering, indexes, and reverse relationship traversals. | It uses a property graph data model and Cypher query language. |
| Support | The quickstart directs users to the Hypermode Discord for questions, issues, feature requests, and discussions. | The site lists community support and says commercial enterprise support contracts are available. |
| Transactions | Dgraph transactions commit all changes as a unit or abort them when conflicts occur. | Ladybug supports serializable ACID transactions. |
Plans
In their own words
LadybugDB
LadybugDB is an embedded columnar graph database for analytical workloads and agentic applications. It uses Cypher with a structured property graph model and can run on disk or in memory; in-memory data is lost when the process ends. Its query engine uses columnar disk storage, vectorized and factorized processing, multi-core parallelism, and join algorithms. Transactions are atomic, durable, and serializable. The project distributes source code and precompiled binaries under the MIT License, which permits commercial and proprietary applications. Imports support Parquet, CSV, JSON, NumPy, Pandas or Polars DataFrames, and PyArrow Tables. Official client APIs are listed for Python, Node.js, Java, Rust, Go, Swift, C, and C++, alongside a command-line interface. Ladybug Explorer provides a browser-based way to query and visualize a database, and the MCP Server exposes a database to LLMs and agents. Extensions cover sources and systems including Azure storage, Delta Lake, DuckDB, Iceberg, PostgreSQL, and vector similarity search. Concurrent access permits one read-write Database object or multiple read-only objects; multiple processes needing writes should use an API server pattern.