| Price from | $73/mo | Free |
| Free plan | Yes | Yes |
| Free trial | — | — |
| Open source | — | — |
| Web | Yes | Yes |
| Linux | Yes | Yes |
| API | Yes | Yes |
| Self-hosted | Yes | Yes |
| Plans published | 4 | 3 |
| Spec score · Graph Databases | 9.1 (#2) | 7.4 (#28) |
| Deployment | FalkorDB can be launched locally using Docker or used as a fully managed cloud instance. | TuringDB can be self-hosted as a server, deployed on-premise or air-gapped, or embedded and driven from Python. |
| Headquarters | LinkedIn and Crunchbase list Tel Aviv, Israel as headquarters. | The maker lists Turing Biosystems Ltd. in London and Lyon. |
| Integrations | Official materials list Graphiti, LangChain, LlamaIndex, Cognee, g.v(), OpenAI, Gemini, Google Cloud, Azure, Grafana, Docker, Snowflake and Model Context Protocol integrations or ecosystem connections. | The documentation lists JSONL, CSV, Neo4j, GML, and Parquet as data import formats, and the product includes a Python SDK. |
| Product | FalkorDB is a high-performance graph database for managing complex relationships and supporting AI applications. | TuringDB is an in-memory, columnar graph database with Git-style versioning built into its engine. |
| Support | The documentation directs users to Discord and a forum for questions, ideas, and reports. | The Enterprise plan includes dedicated support and integrations. |
