LadybugDB vs TigerGraph
LadybugDB
ladybugdb.comTigerGraph
tigergraph.comSide by side
| Figure | LadybugDB | TigerGraph |
|---|---|---|
| Price from | Free | $45/mo |
| Free plan | Yes | Yes |
| Free trial | — | Yes |
| 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 | 1 | 5 |
| Spec score · Graph Databases | 8.2 (#11) | 8.0 (#15) |
| Deployment | Ladybug runs embedded in an application process and does not require managing a separate database server. | Self-managed TigerGraph can be installed directly on Linux or as a Docker image; Enterprise Edition also supports clusters through Kubernetes. |
| Integrations | The documentation describes integrations with Snowflake and PostgreSQL, and attaching to DuckDB, SQLite, Iceberg, Delta Lake, and Unity Catalog sources. | Connectors include Kafka, Amazon S3, Azure Blob Storage, Google Cloud Storage, Snowflake, BigQuery, PostgreSQL, Spark, Delta Lake, Iceberg, and Hudi. |
| Support | The site lists community support and says commercial enterprise support contracts are available. | TigerGraph's support policy says standard support is included with a subscription; Community Edition and free-tier cloud services are excluded from eligible software support. |
Plans
TigerGraph
- Savanna Free TrialFree
- TigerGraph CommunityFree
- Savanna$45 a month
- Savanna Business Critical$126 a month
- TigerGraph EnterprisePriced on request
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.
TigerGraph
TigerGraph is a graph database for real-time analytics on connected data, using Native Parallel Graph design and the GSQL query language. Its Native MPP Graph supports parallel computation and deep-link analytics, and the database also offers vector similarity and hybrid graph-plus-vector search. Listed graph query options include GSQL, OpenCypher, and GSQL pattern matching. Connectors include Kafka, Amazon S3, Azure Blob Storage, Google Cloud Storage, Snowflake, BigQuery, PostgreSQL, Spark, Delta Lake, Iceberg, and Hudi. Security documentation lists TLS encryption, SAML 2.0 SSO, LDAP authentication, role-based access control, privileged-action audit logs, and encryption at rest. Self-managed deployments can run on Linux or as a Docker image; Enterprise Edition also supports Kubernetes clusters. Savanna is available on AWS. Community Edition is free but limited to one server and 300 GB of combined graph and vector data. Savanna starts at $45 a month as listed; the Enterprise Evaluation License lasts 30 days unless another duration is agreed in writing.