FalkorDB Graph Database

FalkorDB Inc. develops an open-source graph database aimed at AI agents, GraphRAG and multi-tenant workloads. According to its privacy policy the legal entity is FalkorDB Inc., a Delaware, United States company, and the site presents the product as an enterprise-ready alternative to Neo4j.

The database is Redis-based, uses the OpenCypher query language and a Rust-powered engine, and can host thousands of isolated graphs per deployment. It is offered as managed FalkorDB Cloud or self-hosted with an enterprise console, with client libraries for Python, Node, Java, Go and Rust. The site lists customers such as Walmart, HSBC, BMW and Maersk and states SOC 2 Type II compliance.

• Graph database: Redis-based engine with OpenCypher and a Rust-powered core.
• Multi-tenancy: thousands of isolated graphs in one deployment.
• FalkorDB Browser: queries and visualises graphs, with Favorite Queries and table view added in April 2026.
• GraphRAG SDK: library for building knowledge-graph retrieval pipelines on FalkorDB.
• QueryWeaver: Text2SQL tool built on FalkorDB.
• Deployment: managed FalkorDB Cloud or self-hosted with HA via Sentinel or Cluster.

• A Vietnamese bank building a fraud-ring detection graph over accounts and transactions.
• A logistics operator modelling shipments, depots and partners for supply chain visibility.
• A software house adding GraphRAG-based knowledge assistants to enterprise products.

• Open-source core with a free-to-start cloud tier lowers the cost of trying graph workloads.
• Cypher compatibility and a documented Neo4j migration path reduce switching effort.
• Multi-tenant design isolates thousands of graphs per deployment.
• Vendor-reported benchmarks claim lower P99 latency and memory use than Neo4j, with an open benchmark linked for checking.

Knowledge graphs are being paired with LLMs (GraphRAG) to give AI agents structured, traceable context, and graph databases are also used for fraud, supply chain and recommendation workloads. Vietnamese banks, logistics firms and software vendors building enterprise chatbots can use graph retrieval to improve answer accuracy over internal data.

Legal entity FalkorDB Inc., Delaware, United States (per privacy policy). SOC 2 Type II listed. Announced a distribution partnership with Datax Solution FZC for the Middle East.