CognoDB vs LadybugDB
CognoDB
cognodb.comLadybugDB
ladybugdb.comSide by side
| Figure | CognoDB | LadybugDB |
|---|---|---|
| Price from | $9/mo | Free |
| Free plan | Yes | Yes |
| Free trial | — | — |
| Open source | — | — |
| Web | Yes | Yes |
| Windows | — | Yes |
| macOS | — | Yes |
| Linux | — | Yes |
| iOS | — | Yes |
| Android | — | Yes |
| API | Yes | Yes |
| Self-hosted | Yes | Yes |
| Plans published | 4 | 1 |
| Spec score · Graph Databases | 8.2 (#10) | 8.2 (#11) |
| Deployment | CognoDB is offered as a managed cloud service, and the maker says there is no self-hosted distribution to install or operate. | Ladybug runs embedded in an application process and does not require managing a separate database server. |
| Integrations | The import flow supports Amazon S3, Google Cloud Storage, Azure Blob Storage, BigQuery, Snowflake, PostgreSQL, Apache Kafka, Apache Spark, Delta Lake, Apache Iceberg, CSV and Parquet. | The documentation describes integrations with Snowflake and PostgreSQL, and attaching to DuckDB, SQLite, Iceberg, Delta Lake, and Unity Catalog sources. |
| Product | CognoDB is a fully managed graph database for nodes, relationships and millisecond traversals over Bolt and Cypher. | Ladybug is an embedded graph database optimized for complex analytical workloads on very large graphs. |
| Support | Enterprise offers dedicated support, while the pricing page lists custom terms and priority support among its features. | The site lists community support and says commercial enterprise support contracts are available. |
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.