Ultra-fast, fully managed DBaaS combining graph relationships and vector search. Purpose-built for GraphRAG, agentic memory, and low-latency AI application workflows.
FalkorDB Cloud is a fully managed Graph and Vector Database as a Service (DBaaS) engineered specifically for low-latency Generative AI, Knowledge Graphs, and complex enterprise relationship modeling. Built on an ultra-optimized C architecture, FalkorDB delivers sub-millisecond query execution while unifying graph traversal (OpenCypher) and high-density vector embedding search in a single memory-first engine.
FalkorDB Cloud powers next-generation AI stacks by solving the context window and hallucination challenges inherent to traditional vector-only RAG pipelines. With native support for GraphRAG (graphrag.falkordb.com) and QueryWeaver (app.queryweaver.ai), enterprise teams can automatically structure unstructured context, build dynamic agentic memory layers, and perform graph-powered Text-to-SQL across multi-cloud database architectures.
Key Features & Operational Capabilities:
Unified Graph + Vector Storage: Query structural node-edge relationships and vector embeddings within a single OpenCypher query.
GraphRAG Engine: Combine structural graph traversal with semantic vector retrieval for context enrichment in LLM applications.
Sub-Millisecond Latency: Powered by Sparse Matrix Multiplications (GraphBLAS) for instant real-time pathing and multi-hop graph traversal.
Seamless AI Framework Integration: First-class SDK support for Python, Node.js, Go, LangChain, LlamaIndex, LangGraph, and the Model Context Protocol (MCP).
Highlights
Sub-millisecond graph and hybrid vector query execution for real-time AI context retrieval.
Fully managed DBaaS with auto-scaling, automated backups, and 99.99% uptime SLAs.
Built-in Model Context Protocol (MCP) server for direct integration with AI agent frameworks.
AWS Marketplace now accepts line of credit payments through the PNC Vendor Finance program. This program is available to select AWS customers in the US, excluding NV, NC, ND, TN, & VT.
This listing uses a single usage-based dimension. You pay by the hour, priced in dollars per hour, based on the amount of FalkorDB Cloud capacity you use, measured in gigabytes (GB). There are no fixed tiers or upfront commitments here. Your cost scales with how much you consume, so it rises or falls as your graph data usage changes. This pay-as-you-grow approach means you are billed only for the capacity active during each hour, letting resource allocation adjust as your workloads increase or decrease.
Top-of-mind questions for buyers
What does one gigabyte (GB) of FalkorDB Cloud usage measure for billing?
A gigabyte measures the memory your graph data occupies in the managed service. Memory scales with your number of nodes, edges, and properties per node or edge. You can estimate this using the graph size calculator, then your hourly charge reflects the capacity active during each hour.
Am I charged when my graph is idle or my usage drops?
Charges accrue per hour based on the capacity active during that hour. If your usage drops, your cost falls with it. This pay-as-you-grow model adjusts resource allocation as workloads increase or decrease, so you are billed only for what is active each hour.
Does this managed service include multi-tenant graph support without running separate instances?
Yes. The managed cloud service supports multi-tenant and multi-graph environments natively, so you avoid running multiple instances. This keeps operational complexity lower while maintaining isolation between tenants. These capabilities are part of the usage-based service you pay for by the hour.
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