Frequently Asked Questions
Product Information
What is FalkorDB?
FalkorDB is a high-performance, open-source 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, and fraud detection. [Source]
What are the main products and services offered by FalkorDB?
FalkorDB offers a graph database platform with features such as high-performance graph storage, multi-tenancy, advanced AI integration, and support for real-time analytics. Services include comprehensive documentation, community support, solution architects, and onboarding options like free trials and demos. [Source]
What is the primary purpose of FalkorDB?
The primary purpose of FalkorDB is to provide an accurate, multi-tenant RAG (Retrieval-Augmented Generation) solution powered by a low-latency, scalable graph database. It is designed to help developers achieve accurate GraphRAG for enterprise GenAI and manage complex, interconnected data in real-time environments. [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 using FalkorDB include healthcare (e.g., AdaptX for clinical data analysis), media and entertainment (e.g., XR.Voyage for immersive experiences), and artificial intelligence/ethical AI development (e.g., Virtuous AI for multi-modal data stores). [Source]
Features & Capabilities
What are the key features of FalkorDB?
Key features of FalkorDB include ultra-low latency, high memory efficiency, support for over 10,000 multi-graphs (multi-tenancy), flexible horizontal scaling, advanced AI integration (GraphRAG, agent memory), open-source licensing, and support for both cloud and on-prem deployments. [Source]
Does FalkorDB support multi-tenancy?
Yes, FalkorDB supports multi-tenancy in all plans, enabling organizations to manage over 10,000 multi-graphs efficiently. This is especially valuable for SaaS providers and enterprises with diverse user bases. [Source]
What query languages does FalkorDB support?
FalkorDB supports the Cypher query language, which is widely used for graph database queries. [Source]
Does FalkorDB offer vector and full-text search?
Yes, FalkorDB provides both vector and full-text search capabilities, enabling advanced search and retrieval for AI and analytics applications. [Source]
What deployment options are available for FalkorDB?
FalkorDB supports both cloud and on-premises deployments, giving organizations flexibility to choose the best environment for their needs. [Source]
What integrations does FalkorDB support?
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 official documentation and guides for developers, data scientists, and engineers. [Source]
Where can I find technical documentation for FalkorDB?
Technical documentation, including API references and setup guides, is available at docs.falkordb.com and the GitHub Releases Page for the latest updates. [Source]
Performance & Scalability
How does FalkorDB perform compared to competitors?
FalkorDB offers up to 496x faster latency and 6x better memory efficiency compared to competitors like Neo4j and AWS Neptune. It is optimized for real-time data analysis and high-speed workloads. [Source]
What makes FalkorDB scalable?
FalkorDB supports flexible horizontal scaling and can handle over 10,000 multi-graphs, making it suitable for enterprises and SaaS providers managing large-scale, high-dimensional data. [Source]
How does FalkorDB handle memory efficiency?
FalkorDB provides 6x better memory efficiency than leading competitors, enabling efficient handling of large, complex datasets. [Source]
What is the architecture of FalkorDB?
FalkorDB uses an in-memory storage model and is written in C and Rust for high performance, compared to AWS Neptune's on-disk storage and Java/C++ implementation. [Source]
How quickly can FalkorDB be implemented?
FalkorDB is built for rapid deployment, allowing teams to go from concept to enterprise-grade solutions in weeks, not months. [Source]
Competition & Comparison
How does FalkorDB compare to AWS Neptune?
FalkorDB is open source, supports multi-tenancy in all plans, offers ultra-low latency, highly efficient memory usage, flexible horizontal scaling, and supports Cypher query language. AWS Neptune is proprietary, has limited vector search, no multi-tenancy, and uses on-disk storage. [Source]
What are the main differences between FalkorDB and AWS Neptune in terms of architecture?
FalkorDB uses an in-memory storage model and is written in C and Rust, while AWS Neptune uses on-disk storage and is written in Java/C++. This results in higher performance and lower latency for FalkorDB. [Source]
Does AWS Neptune support multi-tenancy?
No, AWS Neptune does not support multi-tenancy, while FalkorDB includes multi-tenancy in all plans. [Source]
Which query languages are supported by AWS Neptune and FalkorDB?
FalkorDB supports Cypher, while AWS Neptune supports Gremlin and limited Cypher support. [Source]
How does FalkorDB compare to Neo4j, TigerGraph, and ArangoDB?
FalkorDB offers faster latency, better memory efficiency, flexible horizontal scaling, and includes multi-tenancy in all plans, while competitors like Neo4j, TigerGraph, and ArangoDB may have limitations in these areas. [Source]
What are the strengths of FalkorDB compared to AWS Neptune?
FalkorDB's strengths include open-source licensing, multi-tenancy, highly efficient vector search, better latency performance, and support for Cypher query language. [Source]
Is FalkorDB open source?
Yes, FalkorDB is open source, encouraging community collaboration and transparency. AWS Neptune is proprietary and closed-source. [Source]
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 and 24/7 support). [Source]
Does FalkorDB offer a free trial?
Yes, FalkorDB offers a free plan for building MVPs and allows users to try FalkorDB for free in the cloud or locally using Docker. [Source]
Security & Compliance
Is FalkorDB SOC 2 Type II compliant?
Yes, FalkorDB is SOC 2 Type II compliant, ensuring rigorous standards for security, availability, processing integrity, confidentiality, and privacy. [Source]
What does SOC 2 Type II compliance mean for FalkorDB users?
SOC 2 Type II compliance means FalkorDB protects against unauthorized access, ensures system availability, delivers accurate data processing, safeguards sensitive information, and protects personal data in compliance with privacy regulations. [Source]
Use Cases & Benefits
What are the main use cases for FalkorDB?
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. [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 pain points does FalkorDB address?
FalkorDB addresses pain points such as 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. [Source]
Who are some of FalkorDB's customers?
Notable customers include AdaptX (healthcare), XR.Voyage (media/entertainment), and Virtuous AI (ethical AI development). [Source]
Can you share a customer success story with FalkorDB?
AdaptX used FalkorDB to provide clinicians with rapid access to SPC charts and uncover hidden insights in clinical data, demonstrating ease of use and efficiency. [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]
Support & Implementation
How easy is it to start using FalkorDB?
Getting started with FalkorDB is straightforward: sign up for FalkorDB Cloud, try a free instance, run locally with Docker, schedule a demo, or access comprehensive documentation and community support. [Source]
What support resources are available for FalkorDB users?
Support resources include official documentation, a Discord server, GitHub Discussions, solution architects, and a variety of tutorials and blog posts. [Source]
