Frequently Asked Questions
Product Information
What is FalkorDB?
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 such as Text2SQL, security graphs, GraphRAG, agentic AI, chatbots, and fraud detection. [Source]
What products and services does FalkorDB offer?
FalkorDB offers a graph database platform with high-performance graph storage, advanced AI integration, and support for complex data relationships. Key offerings include Text2SQL, security graph solutions, GraphRAG, agentic AI and chatbots, fraud detection, and a range of pricing plans from free to enterprise. [Source]
What is the primary purpose of FalkorDB?
The primary purpose of FalkorDB is to provide an accurate, multi-tenant RAG solution powered by a low-latency, scalable graph database. It is designed for development teams working with complex, interconnected data in real-time or interactive environments, addressing trust, scalability, and compliance needs for enterprise GenAI. [Source]
Who is the target audience for FalkorDB?
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. [Source]
What industries use FalkorDB?
Industries represented in FalkorDB case studies include healthcare (AdaptX), media and entertainment (XR.Voyage), and artificial intelligence/ethical AI development (Virtuous AI). [Source]
Features & Capabilities
What are the key features of FalkorDB?
Key features of FalkorDB include ultra-low latency (up to 496x faster than Neo4j), 6x better memory efficiency, support for over 10,000 multi-graphs (multi-tenancy), open-source licensing, linear scalability, advanced AI integration (GraphRAG, agent memory), cloud and on-prem deployment, and enhanced dashboards for interactive analysis. [Source]
Does FalkorDB support multi-tenancy?
Yes, FalkorDB supports multi-tenancy in all plans, enabling management of over 10,000 multi-graphs. This is especially valuable for SaaS providers and organizations with diverse user bases. [Source]
What integrations are available with FalkorDB?
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 is open to new integrations. [Source]
Does FalkorDB provide an API?
Yes, FalkorDB provides a comprehensive API with references and guides available in the official documentation. This enables developers and data scientists to integrate FalkorDB into their workflows. [Source]
What technical documentation is available for FalkorDB?
FalkorDB offers comprehensive technical documentation and API references at docs.falkordb.com, including setup guides, advanced configurations, and release notes on the GitHub releases page. [GitHub]
How does FalkorDB support AI and agentic applications?
FalkorDB is optimized for AI use cases such as GraphRAG and agent memory, enabling intelligent agents and chatbots with real-time adaptability. It combines graph traversal with vector search for personalized user experiences and supports advanced AI workflows. [Source]
What deployment options does FalkorDB offer?
FalkorDB offers both cloud and on-premises deployment options, providing flexibility for organizations with different infrastructure needs. [Source]
How does FalkorDB ensure high performance?
FalkorDB delivers exceptional performance with 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 efficient handling of large-scale, high-dimensional data. [Benchmarks]
What is the user experience like with FalkorDB?
FalkorDB provides a frictionless user experience, enabling fast, interactive analysis of complex data through dashboards and custom views. Customers have praised its ease of use and performance, especially for non-traversal queries. [AdaptX Case Study]
Pricing & Plans
What pricing plans does FalkorDB offer?
FalkorDB offers four 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 with enterprise-grade features like VPC, custom backups, and 24/7 support). [Source]
What features are included in the FREE plan?
The FREE plan is designed for building a powerful MVP and includes community support. [Source]
What features are included in the STARTUP plan?
The STARTUP plan starts from /1GB/month and includes TLS encryption and automated backups. [Source]
What features are included in the PRO plan?
The PRO plan starts from 0/8GB/month and includes advanced features such as cluster deployment and high availability. [Source]
What features are included in the ENTERPRISE plan?
The ENTERPRISE plan offers tailored pricing and includes enterprise-grade features such as VPC, custom backups, and 24/7 support. [Source]
Use Cases & Benefits
What are the main use cases for FalkorDB?
Main use cases for FalkorDB include Text2SQL (natural language to SQL queries), security graphs for CNAPP/CSPM/CIEM, GraphRAG (advanced graph-based retrieval), agentic AI and chatbots, fraud detection, and high-performance graph storage for complex relationships. [Source]
What business impact can customers expect from using FalkorDB?
Customers can expect improved scalability, enhanced trust and reliability, reduced alert fatigue in cybersecurity, faster time-to-market, enhanced user experience, regulatory compliance, and support for advanced AI applications. [Source]
What core problems does FalkorDB solve?
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 agentic AI/chatbot development. [Source]
Who can benefit from using FalkorDB?
Organizations and teams that manage complex, interconnected data, require high scalability and low latency, or need advanced AI integration—such as enterprises, SaaS providers, and security teams—can benefit from FalkorDB. [Source]
How does FalkorDB help with regulatory compliance?
FalkorDB's GraphRAG-SDK helps organizations stay ahead of financial regulations by mapping regulations to workflows, identifying compliance gaps, and providing actionable recommendations. [Source]
How does FalkorDB address alert fatigue in cybersecurity?
FalkorDB enables security teams to prioritize and correlate alerts effectively, reducing false positives and improving threat detection, which helps prevent analyst burnout. [Source]
Customer Proof & Case Studies
Can you share specific case studies or success stories of FalkorDB customers?
Yes, FalkorDB has been successfully implemented by AdaptX (healthcare analytics), XR.Voyage (immersive experience platform), and Virtuous AI (ethical AI development). Each case study demonstrates FalkorDB's impact on scalability, data management, and AI-driven solutions. [Case Studies]
Who are some of FalkorDB's customers?
Notable FalkorDB customers include AdaptX, XR.Voyage, and Virtuous AI. Their stories are available in detailed case studies on the FalkorDB website. [Case Studies]
What feedback have customers given about FalkorDB's ease of use?
Customers like AdaptX and 2Arrows have praised FalkorDB for its ease of use, rapid access to insights, and superior performance, especially for non-traversal queries. [AdaptX Case Study]
What industries are represented in FalkorDB's case studies?
FalkorDB case studies represent healthcare (AdaptX), media and entertainment (XR.Voyage), and artificial intelligence/ethical AI development (Virtuous AI). [Case Studies]
Competition & Comparison
How does FalkorDB compare to Neo4j?
FalkorDB offers up to 496x faster latency, 6x better memory efficiency, flexible horizontal scaling, and includes multi-tenancy in all plans, whereas Neo4j's multi-tenancy is only available in premium plans. FalkorDB is open source and supports full on-prem deployment. [Comparison]
How does FalkorDB compare to AWS Neptune?
FalkorDB is open source, supports multi-tenancy, offers better latency performance, and provides highly efficient vector search, while AWS Neptune is proprietary, has limited vector search, and does not support multi-tenancy. [Comparison]
How does FalkorDB compare to TigerGraph?
FalkorDB provides faster latency, better memory efficiency, and flexible horizontal scaling compared to TigerGraph, which has limited horizontal scaling and moderate memory efficiency. [Source]
How does FalkorDB compare to ArangoDB?
FalkorDB demonstrates superior latency and memory efficiency, with flexible horizontal scaling, while ArangoDB has moderate memory efficiency and limited horizontal scaling. [Source]
Why should a customer choose FalkorDB over alternatives?
Customers should consider FalkorDB for its exceptional performance, scalability, multi-tenancy in all plans, advanced AI integration, open-source licensing, and enhanced user experience. It is trusted by organizations like AdaptX, XR.Voyage, and Virtuous AI. [Source]
Security & Compliance
Is FalkorDB SOC 2 compliant?
Yes, FalkorDB is SOC 2 Type II compliant, demonstrating its commitment to security, availability, processing integrity, confidentiality, and privacy. [Source]
What security and compliance certifications does FalkorDB have?
FalkorDB is SOC 2 Type II compliant, meeting rigorous standards for security, availability, processing integrity, confidentiality, and privacy. [Source]
How does FalkorDB protect sensitive data?
FalkorDB safeguards sensitive information through SOC 2 Type II compliance, which covers security, confidentiality, and privacy controls to prevent unauthorized access and disclosure. [Source]
Support & Implementation
How easy is it to get started with FalkorDB?
Getting started with FalkorDB is straightforward: sign up for FalkorDB Cloud, try a free instance, run locally via Docker, schedule a demo, or access comprehensive documentation. Community support is available via Discord and GitHub. [Source]
How long does it take to implement FalkorDB?
FalkorDB is built for rapid deployment, enabling teams to go from concept to enterprise-grade solutions in weeks, not months. [Source]
What support and training options are available for FalkorDB?
FalkorDB provides comprehensive documentation, community support via Discord and GitHub, access to solution architects, free trial and demo options, and practical guides through tutorials and blogs. [Source]
Where can I find FalkorDB documentation and resources?
FalkorDB documentation and resources are available at docs.falkordb.com, with additional guides, tutorials, and release notes on the GitHub releases page. [GitHub]
