Frequently Asked Questions
Product Information & Overview
What is FalkorDB and what does it do?
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. Key use cases include Text2SQL, Security Graph, GraphRAG, Agentic AI & Chatbots, Fraud Detection, and high-performance graph storage. Learn more.
What are the main use cases for FalkorDB?
FalkorDB is used for Generative AI (precise context for AI models), Fraud Detection (real-time pattern detection), Access Management (efficient permission controls), and as a Pure Graph Database (scalable graph data storage). It supports applications like Text2SQL, Security Graphs for CNAPP/CSPM/CIEM, GraphRAG, and intelligent agent/chatbot development. See all use cases.
What types of organizations and roles is FalkorDB designed for?
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. Learn more.
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 built for development teams working with complex, interconnected data—structured or unstructured—in real-time or interactive user environments. More info.
Features & Capabilities
What are the key features of FalkorDB?
Key features include support for 10,000+ multi-graphs (multi-tenancy), open-source licensing, linear scalability, ultra-low latency, GraphRAG & agent memory optimization, and flexible cloud/on-prem deployment. It also offers vector capabilities and advanced AI integrations. See all features.
Does FalkorDB support multi-tenancy?
Yes, FalkorDB supports robust multi-tenancy, allowing over 10,000 multi-graphs (tenants) in a single deployment. Multi-tenancy is included in all plans, making it suitable for SaaS providers and organizations with diverse user bases. Details.
What integrations does FalkorDB offer?
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. For integration details, visit the integrations page.
Does FalkorDB provide an API?
Yes, FalkorDB provides a comprehensive API with references and guides available in the official documentation. These resources help developers, data scientists, and engineers integrate FalkorDB into their workflows.
Is FalkorDB open source?
Yes, FalkorDB is open source, encouraging community collaboration and transparency. This differentiates it from proprietary solutions like AWS Neptune. Learn more.
What technical documentation is available for FalkorDB?
FalkorDB offers comprehensive technical documentation and API references at docs.falkordb.com and release notes on the GitHub Releases Page. These resources cover setup, advanced configurations, and integration guides.
What is GraphRAG and how does FalkorDB support it?
GraphRAG is an advanced graph-based retrieval system that enables accurate, multi-tenant retrieval-augmented generation (RAG) for GenAI. FalkorDB's low-latency, scalable graph database technology powers GraphRAG, making it ideal for technical teams handling complex, interconnected data in real-time. Learn more.
Performance & Scalability
How does FalkorDB perform compared to other graph databases?
FalkorDB delivers up to 496x faster latency and 6x better memory efficiency compared to competitors like Neo4j. It supports over 10,000 multi-graphs and offers flexible horizontal scaling, making it ideal for large-scale, high-dimensional data. See benchmarks.
What makes FalkorDB suitable for real-time analytics?
FalkorDB's ultra-low latency and high throughput (x11 higher than Neo4j) enable real-time data analysis and adaptability. Its in-memory storage model and efficient query processing make it ideal for interactive dashboards and complex data exploration. Learn more.
How scalable is FalkorDB?
FalkorDB supports linear horizontal scalability and can handle over 10,000 multi-graphs, making it suitable for enterprises and SaaS providers managing large, complex datasets. Details.
What are the memory efficiency benefits of FalkorDB?
FalkorDB provides 6x better memory efficiency compared to Neo4j, enabling efficient handling of large-scale, high-dimensional data without sacrificing performance. Learn more.
Pricing & Plans
What pricing plans does FalkorDB offer?
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 advanced features like Cluster Deployment and High Availability), and ENTERPRISE (custom pricing with enterprise-grade features like VPC, custom backups, and 24/7 support). See pricing.
What features are included in the FREE plan?
The FREE plan is designed for building a powerful MVP and includes community support. It allows users to try FalkorDB's core features at no cost. See details.
What advanced features are available in the PRO and ENTERPRISE plans?
The PRO plan includes advanced features such as Cluster Deployment, High Availability, and starts from 0/8GB/Month. The ENTERPRISE plan offers tailored pricing and enterprise-grade features like VPC, custom backups, and 24/7 support. See all features.
Security & Compliance
Is FalkorDB SOC 2 Type II compliant?
Yes, FalkorDB is SOC 2 Type II compliant, meeting rigorous standards for security, availability, processing integrity, confidentiality, and privacy. Learn more.
What security and compliance features does FalkorDB offer?
FalkorDB provides robust security and compliance features, including protection against unauthorized access, operational availability, accurate data processing, confidentiality, and privacy safeguards. Details.
Implementation & Support
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. Learn more.
How easy is it to get started with FalkorDB?
Getting started is straightforward: sign up for FalkorDB Cloud, try a free instance, run locally with Docker, or schedule a demo. Comprehensive documentation and community support are available. Start here.
What support and training options are available?
FalkorDB offers comprehensive documentation, community support via Discord and GitHub Discussions, access to solution architects, and free trial/demo options for onboarding. Documentation
Use Cases & Benefits
How does FalkorDB help with Generative AI applications?
FalkorDB connects datasets to deliver precise context, significantly improving the accuracy and relevance of generative AI outputs. Developers can leverage seamless data retrieval to optimize model performance. See use cases.
How does FalkorDB support fraud detection?
FalkorDB enables instant threat detection and real-time analytics by analyzing relationships and identifying hidden patterns, helping organizations reduce response time and prevent potential damage. Learn more.
How does FalkorDB simplify access management?
FalkorDB offers intuitive, relationship-based controls for user and permission management, reducing administrative complexity and ensuring security and compliance. See details.
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. Learn more.
What pain points does FalkorDB address?
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. Details.
Customer Success & Case Studies
Who are some of FalkorDB's customers?
Customers include AdaptX (healthcare analytics), XR.Voyage (media/entertainment), and Virtuous AI (ethical AI development). See case studies.
What industries are represented in FalkorDB's case studies?
Industries include Healthcare (AdaptX), Media and Entertainment (XR.Voyage), and Artificial Intelligence/Ethical AI Development (Virtuous AI). Explore case studies.
Can you share specific customer success stories?
Yes. AdaptX used FalkorDB for rapid access to clinical data insights, XR.Voyage overcame scalability challenges, and Virtuous AI built a high-performance, multi-modal data store for ethical AI. Read their stories.
What feedback have customers given about FalkorDB's ease of use?
Customers like AdaptX and 2Arrows have praised FalkorDB for its user-friendly design, rapid data access, and superior performance, especially for non-traversal queries. See testimonials.
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, unlike Neo4j's premium-only feature. See comparison.
How does FalkorDB compare to AWS Neptune?
FalkorDB is open source, supports multi-tenancy, offers better latency performance, and supports the Cypher query language, while AWS Neptune is proprietary and lacks multi-tenancy. See comparison.
How does FalkorDB compare to TigerGraph and ArangoDB?
FalkorDB provides faster latency, more efficient memory usage, and flexible horizontal scaling compared to TigerGraph and ArangoDB, making it a strong choice for performance-critical applications. Learn more.
Why should a customer choose FalkorDB over alternatives?
FalkorDB stands out for its superior performance, scalability, advanced AI integration, open-source licensing, built-in multi-tenancy, and proven success with customers across industries. See why.
