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It's a split decision.
Neither is the automatic pick. Choose FalkorDB for agent memory, multi-tenant graphs, and OpenCypher, with a published Startup rate of $73/GB/month; annual rates are not published. Choose Neo4j for a graph platform spanning analytics, graph data science, and AI, but budget from hourly rates: Professional starts at $0.09/GB/hour, with a 1GB minimum. Both offer free plans; compare the pricing units against your expected workload before committing.
01Side by side
| FalkorDB | Neo4j | |
|---|---|---|
| Published paid entry price | $73/GB/month; Startup starts at 1GB | $0.09/GB/hour; Professional has a 1GB minimum |
| Free plan | Free; multi-graph, access control, community support | Free; no payment method required, access to graph tools |
| Best fit | GraphRAG, agents, and multi-tenant workloads | Graph analytics, knowledge graphs, and AI applications |
| Core strength | Multi-hop reasoning over connected context | Graph algorithms and connected-data analysis |
| Learning curve | Not published; supports familiar OpenCypher | Not published |
| Clients and cloud options | Python, Node, Java, Go, and Rust libraries | Professional available on AWS, Azure, and Google Cloud |
| Team or seat costs | No seat pricing published; priced per GB | No seat pricing published; priced per GB/hour |
| Published support options | Community, business-hours, and 24/7 enterprise support | Support options not published |
FalkorDB Choose FalkorDB if
- Choose FalkorDB if… you need GraphRAG or agent memory.
- Choose FalkorDB if… you need isolated multi-tenant graphs.
- Choose FalkorDB if… monthly per-GB pricing suits your budget.
Neo4j Choose Neo4j if
- Choose Neo4j if… graph analytics and data science are priorities.
- Choose Neo4j if… you want hourly capacity pricing.
- Choose Neo4j if… you need a managed or self-managed option.
02Pricing compared
Both offer a free plan, but their paid prices use different units, so compare expected capacity and runtime before choosing. FalkorDB’s pricing page lists Free at $0, Startup at $73 per GB per month (starting at 1 GB), and Pro at $350 per 8 GB per month (starting at 8 GB). Startup includes TLS and 12-hour automated backups; Pro adds clustering, high availability, multi-zone deployment, and business-hours support. Enterprise pricing is custom. Annual rates are not published.
Neo4j’s AuraDB Free is $0 and requires no payment method. AuraDB Professional starts at $0.09 per GB per hour, with a 1 GB minimum; Business Critical starts at $0.20 per GB per hour, with a 2 GB minimum. Neo4j lists no monthly or annual rate. Runtime affects the bill, so request an estimate for expected usage rather than comparing headline prices.
03Features and depth
FalkorDB is the more focused option for graph-based AI workloads. Its feature list centers on GraphRAG, multi-hop reasoning, agent memory across sessions, and isolated graphs for customers, agents, or sessions. It supports OpenCypher and says it supports migration from Cypher-based systems. Client libraries are listed for Python, Node, Java, Go, and Rust.
Neo4j covers a wider set of graph use cases in its product positioning: connected-data storage, knowledge graphs, graph analytics, graph data science, and GraphRAG. Its products are available as fully managed or self-managed options. AuraDB plans also spell out capacity and service details: Professional lists daily backups with seven-day retention, while Business Critical lists a 99.95% uptime SLA and 30-day backup retention.
For agent memory and multi-tenant graphs, FalkorDB’s stated feature set is a close match. For graph algorithms alongside AI, Neo4j lists more of the surrounding analytics stack. Check the specific workload and deployment requirements before treating either feature list as a fit guarantee.
04Ease of use and learning curve
The available information does not establish that one is easier to learn overall. FalkorDB’s OpenCypher support may be relevant if your team already works with Cypher-based systems, and its listed client libraries cover Python, Node, Java, Go, and Rust. It can run on FalkorDB Cloud or be self-hosted.
Neo4j offers managed and self-managed products, and AuraDB Free includes access to all graph tools with no payment method required. That gives teams a free way to explore the platform, but the published pricing details do not describe a free trial for paid tiers. For either product, weigh your team’s query-language familiarity against the operating model: managed service, self-hosting, or dedicated infrastructure.
Questions people ask
Can we migrate from Neo4j to FalkorDB?
FalkorDB supports OpenCypher and describes migration from Cypher-based systems as supported. That is a reason to shortlist it, not proof that every Neo4j query or application will transfer unchanged. The published information does not specify compatibility gaps, so verify your query patterns and dependencies before moving production data.
Is FalkorDB cheaper than Neo4j?
There is no clean price comparison from the published rates alone. FalkorDB lists monthly prices per GB or capacity tier; Neo4j lists hourly rates per GB, with minimum instance sizes. Compare the expected capacity and runtime for your workload. Annual prices are not published for FalkorDB, and Neo4j’s page lists no monthly or annual rate.
Do both products support GraphRAG?
Yes. FalkorDB lists GraphRAG with connected context and multi-hop reasoning. Neo4j also lists GraphRAG, describing it as retrieving context from connected data for AI systems. The published information does not provide a head-to-head performance comparison, so choose based on workload needs and test your own use case.
Can we self-host either graph database?
FalkorDB says it can be self-hosted or run on FalkorDB Cloud. Neo4j lists both fully managed and self-managed products, with Virtual Dedicated Cloud as a dedicated-infrastructure option. FalkorDB Enterprise and Neo4j Virtual Dedicated Cloud use custom pricing; compare deployment requirements and request pricing before committing.