FalkorDB: Multi-tenant graph database for GraphRAG and agent memory, with vector and full-text search, self-hosted or as a cloud service. These 4 tools cover the same task (graph databases). They are ranked by how many of FalkorDB's strongest markets they share, then by how complete their profile is.
Picked from our profile data, which we check against vendor pages. No vendor paid for a placement.
What FalkorDB does
FalkorDB is a graph database designed for GraphRAG, agent memory and other AI workloads that need fast relationship queries. It uses sparse matrices and linear algebra for queries and supports vector search alongside OpenCypher.
Vector similarity, full-text and range indexes in one engine
Knowledge graphs for low-latency GraphRAG with language models
Many separate graphs per instance for multi-tenant AI applications
FalkorDB Inc. lists an address in Delaware, United States, in its privacy policy and does not state a country focus. Starting price: from $73 per month.
Before you switch: Review the Server Side Public License before offering FalkorDB as part of a hosted service, since it places conditions on providing the software as a service. Check which cloud provider and region your plan uses and whether high availability is included, since Startup lacks clustering. Request the SOC 2 report and a data processing agreement.
Neo4j is a graph database that stores data as nodes and relationships and adds vector search and GraphRAG tools for AI applications. Companies use it for knowledge graphs, fraud detection, recommendations and grounding language models in connected data.
Key functions
Vector indexes for semantic search inside the graph
GraphRAG Python package combines knowledge graph and vector search for language models
Aura Agent builds GraphRAG agents on your own graph data
Compared with FalkorDB
Names 5 security certificates, FalkorDB 1.
Starts lower: from $65 per month, FalkorDB from $73 per month.
Strong in the same markets as FalkorDB: United States.
Check before buying: Choose the cloud provider and region when creating an AuraDB instance to meet data residency needs. SSO, fine-grained access control and customer-managed keys require Business Critical or higher. Budget by memory size, since prices scale per GB. If a graph holds employee or customer relationships, check the purpose limitation under the GDPR.
TigerGraph is a distributed graph database with built-in vector search. Data teams use it to model connected data such as customers, accounts and transactions. Typical uses are fraud detection, customer analytics and graph-based retrieval for AI, run as a managed cloud service or on their own servers.
Key functions
GraphRAG and hybrid search combining graph and vector queries in GSQL
Graph Data Science Library with more than 50 algorithms and graph embeddings for similarity and link prediction
Agentic AI: an MCP server connects AI agents to graph and vector retrieval
Compared with FalkorDB
Can store data in the EU; FalkorDB states no EU option.
Strong in the same markets as FalkorDB: United States.
Check before buying: Graph modeling is a design task, so plan time for schema design and for learning GSQL or openCypher. Savanna prices by instance size and hour, with a regional factor, and the Business Critical tier adds multi-zone availability. The vendor says its HIPAA controls were still awaiting a third-party audit at the time of the page, so verify the current status. Audit reports are available only under a non-disclosure agreement.
Memgraph is an in-memory graph database for real-time analytics, knowledge graphs and GraphRAG. Developers query it with Cypher, run graph algorithms and connect it to language models and agent frameworks.
Key functions
Vector search and text search inside the graph
GraphRAG building blocks such as Text2Cypher, local graph search and agentic GraphRAG
Integrations with MCP, LangChain, LlamaIndex and agent memory tools such as Mem0 and Cognee
Compared with FalkorDB
Headquartered in United Kingdom, FalkorDB in United States.
Strongest elsewhere: United Kingdom.
Check before buying: Size memory carefully, since the whole graph is held in RAM and Enterprise pricing scales with memory capacity. Read the Business Source License 1.1 of the repository before you rely on the Community Edition, especially if you want to embed Memgraph in a product or hosted service, for which Memgraph sells an OEM and SaaS license. Check whether you need Enterprise features such as access control and multi-tenancy. The managed cloud runs on AWS, so ask which region hosts your data.
LightRAG is an open-source RAG system that extracts entities and relationships from documents into a knowledge graph and uses both the graph and vector search to answer questions. It targets developers who need answers that connect facts across many documents.
Key functions
Builds a knowledge graph of entities and relations from documents automatically
Combines graph and vector retrieval, with a reranker as default for mixed queries
Parses multimodal content through MinerU or Docling
Compared with FalkorDB
Strongest elsewhere: Hong Kong.
Check before buying: Building the graph sends every document through a language model, so indexing costs grow with the volume of text; test on a sample first. Choose a model provider whose data terms fit your documents, or run open models locally. There is no vendor support contract, so plan who maintains the installation and its storage backends.
All 4 alternatives by buying criteria
FalkorDB alternatives by price, trial, hosting and security
Not stated means we found no statement on the vendor's site. Data as of each profile's last check.
The market around FalkorDB: 5 tools for this task
60 % Publish a price (3/5)
100 % Free plan (5/5)
60 % Free trial (3/5)
20 % EU hosting option (1/5)
20 % Headquartered in Europe (1/5)
20 % Single sign-on (1/5)
FalkorDB is among the tools that publish a price. More than half of the vendors here publish prices, so you can compare list prices before the first demo.
Source: ai-toolfinder.com dataset, full profiles only.
Why teams look beyond FalkorDB
FalkorDB states no EU hosting option. 1 alternatives can store data in the EU.
2 alternatives are strong in at least one of the same countries as FalkorDB, so local support and compliance should be comparable.
It depends on your country and company size. In our data, Neo4j, TigerGraph and Memgraph share the most strong markets with FalkorDB, so they are the closest fit if you work where FalkorDB is strong. Filter the list by country and size to narrow it down.
Is there a free alternative to FalkorDB?
Neo4j, TigerGraph, Memgraph and LightRAG offer a free plan or a free trial according to the vendors. Check the limits of free plans before you rely on them for employee data.
Which FalkorDB alternatives can host data in the EU?
TigerGraph can store customer data in the EU, according to the vendors. Ask for the data processing agreement (Art. 28 GDPR) and the list of subprocessors.
Which FalkorDB alternatives publish their prices?
Neo4j and TigerGraph show prices on their websites, for example Neo4j from $65 per month and TigerGraph from $1 usage-based. The others quote after a demo.
Are there European alternatives to FalkorDB?
Memgraph is headquartered in Europe. A European seat does not guarantee EU hosting, so check the data processing agreement and the list of subprocessors.
Which FalkorDB alternatives support single sign-on?
Neo4j support single sign-on according to the vendors. Some include it only in higher plans, see the table above.
Neo4j