LadybugDB vs TypeDB
LadybugDB
ladybugdb.com
TypeDB
typedb.comSide by side
| Figure | LadybugDB | TypeDB |
|---|---|---|
| Price from | Free | $0.07/mo |
| Free plan | Yes | Yes |
| Free trial | — | — |
| Open source | — | — |
| Web | Yes | Yes |
| Windows | Yes | Yes |
| macOS | Yes | Yes |
| Linux | Yes | Yes |
| iOS | Yes | — |
| Android | Yes | — |
| API | Yes | Yes |
| Self-hosted | Yes | Yes |
| Plans published | 1 | 3 |
| Spec score · Graph Databases | 8.2 (#11) | 7.9 (#16) |
| Deployment | Ladybug runs embedded in an application process and does not require managing a separate database server. | TypeDB Enterprise can be deployed on-premises or in the customer’s cloud. |
| Product | Ladybug is an embedded graph database optimized for complex analytical workloads on very large graphs. | TypeDB describes itself as a structured hypergraph database with first-class n-ary relations and an enforced schema. |
| Query language | It uses a property graph data model and Cypher query language. | TypeQL is described as declarative, functional, and strongly typed. |
| Support | The site lists community support and says commercial enterprise support contracts are available. | Enterprise includes dedicated 24/7 support with P1 escalation and a listed two-hour response-time SLA. |
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.
TypeDB
TypeDB is a structured hypergraph database with an enforced, schema-first model: reads and writes are validated against the schema. Its TypeQL query language is declarative, functional, and strongly typed. Relations can link any number of entities or attributes, and can link to other relations. TypeDB is presented for agentic systems, cyber threat intelligence, knowledge graphs, financial intelligence, and robotics; it also lists vector search and ACID transactions. Platforms include API, Linux, macOS, self-hosted, web, and Windows. Official drivers are listed for Python, TypeScript HTTP, Rust, Java, C, and C#, with C++ marked as planned. The free Explore plan costs nothing and includes a fully managed dedicated database server with 10 GB storage, 8 GB RAM, and 2 vCPUs. Launch costs $0.07 a month, billed from $0.07 per hour. Enterprise has custom pricing and supports on-premises or customer-cloud deployment, including air-gapped environments.