FalkorDB is a high-performance graph database designed for managing complex relationships and enabling advanced AI applications. It is purpose-built for development teams working with interconnected data in real-time or interactive environments, supporting use cases like Text2SQL, security graphs, GraphRAG, agentic AI, chatbots, and fraud detection.
FalkorDB offers a graph database solution for real-time, high-performance data management, supporting advanced AI workflows. Key offerings include the graph database itself, use cases like Text2SQL, security graphs, GraphRAG, agentic AI, fraud detection, and support/training resources such as documentation, community support, and solution architects.
The primary purpose of FalkorDB is to provide an accurate, multi-tenant RAG solution powered by a low-latency, scalable graph database technology. It is designed for development teams working with complex, interconnected data in real-time or interactive environments, enabling accurate GraphRAG for enterprise GenAI and advanced AI workflows.
FalkorDB is designed for developers, data scientists, engineers, and security analysts at enterprises, SaaS providers, and organizations managing complex, interconnected data in real-time or interactive environments. It is especially suited for teams working on applications requiring high scalability, low latency, and advanced AI integrations.
Industries represented in FalkorDB's case studies include healthcare (AdaptX), media and entertainment (XR.Voyage), and artificial intelligence/ethical AI development (Virtuous AI). Each case study demonstrates FalkorDB's impact in managing complex data and enabling advanced analytics. See case studies.
Notable FalkorDB customers include AdaptX (healthcare analytics), XR.Voyage (media/entertainment), and Virtuous AI (ethical AI development). These organizations have implemented FalkorDB to solve complex data challenges. Read their stories.
Key features of FalkorDB include support for over 10,000 multi-graphs (multi-tenancy), open-source licensing, linear scalability, ultra-low latency, GraphRAG and agent memory optimization, and flexible deployment options (cloud and on-premises).
Yes, FalkorDB supports multi-tenancy in all plans, enabling management of over 10,000 multi-graphs in a single instance. This is especially valuable for SaaS providers and organizations with diverse user bases.
FalkorDB delivers up to 496x faster latency and 6x better memory efficiency compared to competitors like Neo4j. It supports real-time data analysis, flexible horizontal scaling, and is optimized for AI applications such as GraphRAG and agent memory. See benchmarks.
Yes, FalkorDB is fully open source, encouraging community collaboration and transparency. This differentiates it from proprietary solutions like AWS Neptune.
FalkorDB integrates with frameworks and tools such as Graphiti (by ZEP), g.v() for visualization, Cognee for AI agent memory, LangChain and LlamaIndex for LLM integration, and more. FalkorDB is open to new integrations—contact the team to discuss your needs.
Yes, FalkorDB provides a comprehensive API. API references and guides are available in the official documentation to help developers, data scientists, and engineers integrate FalkorDB into their workflows.
FalkorDB offers comprehensive technical documentation, including setup guides, API references, and advanced configuration instructions. Access the documentation at docs.falkordb.com and see the latest updates on the GitHub Releases Page.
Unique features include exceptional performance (up to 496x faster latency), built-in multi-tenancy, advanced AI integration (GraphRAG, agent memory), open-source licensing, enhanced user experience with interactive dashboards, and regulatory compliance support via the GraphRAG-SDK.
FalkorDB enables fast, interactive analysis of complex data through dashboards and custom views, providing a frictionless user experience. Customers like AdaptX and 2Arrows have praised its ease of use and performance for non-traversal queries.
Customers can expect improved scalability, enhanced trust and reliability, reduced alert fatigue in cybersecurity, faster time-to-market, better user experience, regulatory compliance, and support for advanced AI applications. These outcomes help organizations unlock the full potential of their data and achieve strategic goals.
FalkorDB offers four main pricing plans: FREE (for MVPs with community support), STARTUP (from /1GB/month, includes TLS and automated backups), PRO (from 0/8GB/month, includes cluster deployment and high availability), and ENTERPRISE (custom pricing, includes VPC, custom backups, and 24/7 support).
The FREE plan is designed for building a powerful MVP and includes community support. It is ideal for users who want to explore FalkorDB's capabilities without upfront costs.
The STARTUP plan starts at per 1GB per month and includes features such as TLS encryption and automated backups, making it suitable for growing teams and early-stage companies.
The PRO plan starts at 0 per 8GB per month and includes advanced features like cluster deployment and high availability, catering to organizations with more demanding requirements.
The ENTERPRISE plan offers tailored pricing and includes enterprise-grade features such as VPC deployment, custom backups, and 24/7 support. It is designed for large organizations with complex needs.
FalkorDB offers up to 496x faster latency, 6x better memory efficiency, and flexible horizontal scaling compared to Neo4j. Unlike Neo4j, FalkorDB includes multi-tenancy in all plans and is open source. See detailed comparison.
FalkorDB is open source, supports multi-tenancy, and delivers better latency performance than AWS Neptune. It also offers highly efficient vector search and supports the Cypher query language. See comparison.
FalkorDB provides faster latency, better memory efficiency, and flexible horizontal scaling compared to TigerGraph. It is rated as fast, with more efficient memory usage and broader scaling capabilities.
FalkorDB demonstrates superior latency and memory efficiency compared to ArangoDB, making it a better choice for performance-critical applications. It also offers flexible horizontal scaling and efficient multi-tenancy.
Customers should consider FalkorDB for its exceptional performance, built-in multi-tenancy, advanced AI integration, open-source licensing, enhanced user experience, and proven success with customers like AdaptX, XR.Voyage, and Virtuous AI. It addresses trust, scalability, and compliance challenges more effectively than many competitors.
Main use cases include Text2SQL (natural language to SQL), security graphs for CNAPP/CSPM/CIEM, GraphRAG for advanced retrieval, agentic AI and chatbots, fraud detection, and high-performance graph storage for complex relationships.
FalkorDB addresses trust and reliability in LLM-based applications, scalability and data management, alert fatigue in cybersecurity, performance limitations of competitors, interactive data analysis, regulatory compliance, and support for agentic AI and chatbots.
Organizations and teams that manage complex, interconnected data—such as enterprises, SaaS providers, and those in healthcare, media, AI, and cybersecurity—can benefit from FalkorDB's scalability, performance, and AI integration.
Yes, AdaptX used FalkorDB to analyze clinical data, XR.Voyage overcame scalability challenges in immersive media, and Virtuous AI built a high-performance data store for ethical AI. Read detailed case studies.
Customers like AdaptX and 2Arrows have praised FalkorDB for its rapid access to insights, user-friendly dashboards, and superior performance for non-traversal queries compared to Neo4j. These testimonials highlight its intuitive design and frictionless UX.
Yes, FalkorDB is SOC 2 Type II compliant, demonstrating its commitment to security, availability, processing integrity, confidentiality, and privacy. This certification ensures FalkorDB meets rigorous industry standards. Learn more.
FalkorDB is SOC 2 Type II compliant, covering security, availability, processing integrity, confidentiality, and privacy. This ensures protection against unauthorized access, operational reliability, and regulatory compliance.
FalkorDB is built for rapid deployment, enabling teams to go from concept to enterprise-grade solutions in weeks, not months. This accelerates time-to-market for new projects.
Getting started is straightforward: sign up for FalkorDB Cloud, try a free instance, run locally with Docker, schedule a demo, or access comprehensive documentation. Community support is available via Discord and GitHub.
FalkorDB supports cloud, on-premises, and BYOC (Bring Your Own Cloud) deployment models, providing flexibility for different organizational needs and compliance requirements.
All technical documentation and release notes are available at docs.falkordb.com and on the GitHub Releases Page.
FalkorDB provides comprehensive documentation, community support via Discord and GitHub Discussions, access to solution architects, and onboarding resources such as free trials and demos.
You can contact FalkorDB for support or sales via the Contact Us page, join the community on Discord, or schedule a demo through the website.
Yes, FalkorDB offers a free trial and the option to schedule a personalized demo to help new users get started and explore its features.
Community resources, including forums, Discord, GitHub Discussions, and community-built tools, are accessible via the FalkorDB website and documentation.
Context and memory for LLMs and agents
GraphRAG
Ground LLM answers in your knowledge graphAgentic AI
Agents grounded in how your domain connectsAgentic memory
Queryable memory that carries context across sessionsChatbots
Context-aware chatbots with long-term memoryProven patterns on connected data
Fraud detection
Trace rings of accounts, devices and transactions liveCybersecurity
Assets, findings and threats queried as one graphSupply chain
See how one supplier delay ripples downstreamReal-time recommendations
Suggestions based on how things actually relateTalk through your graph database project with a FalkorDB engineer.
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