Frequently Asked Questions
Product Information & Release Details
What is FalkorDB and what does it do?
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, chatbots, and fraud detection. Learn more.
What are the major improvements in FalkorDB 4.0 Beta?
FalkorDB 4.0 Beta introduces vector indexing support, Bolt protocol compatibility (enabling easy migration from Neo4j), and numerous bug fixes and stability improvements over RedisGraph. These enhancements improve performance, reliability, and developer experience. See release notes.
What critical bug fixes are included in FalkorDB 4.0 Beta?
Critical bug fixes in FalkorDB 4.0 Beta include: treating zero-length traversals as variable length to prevent server crashes and data loss, ensuring the properties function returns a new map to avoid data corruption, and preventing CREATE clauses from accessing their own entities. See issue tracker.
How can I try FalkorDB 4.0 Beta?
You can try FalkorDB 4.0 Beta by running the Docker container with docker run -it -p 6379:6379 -p 7687:7687 falkordb/falkordb:v4.0.1 or by launching a free instance on FalkorDB Cloud at https://app.falkordb.cloud/.
Is FalkorDB open source?
Yes, FalkorDB is open source, encouraging community collaboration and transparency. You can access the source code and contribute via the FalkorDB GitHub repository.
What is the relationship between FalkorDB and RedisGraph?
FalkorDB builds on the legacy of RedisGraph, which was discontinued by Redis. It aims to provide a fast, scalable, and reliable graph solution, addressing critical bugs and adding new features beyond RedisGraph's capabilities.
How can I provide feedback or get support for FalkorDB?
You can provide feedback or get support for FalkorDB via Discord, GitHub issues, or GitHub discussions. The team welcomes suggestions and questions from the community.
Does FalkorDB support the Bolt protocol?
Yes, FalkorDB 4.0 Beta supports the Bolt protocol, which is widely used by Neo4j clients and tools. This makes it easier to migrate from Neo4j to FalkorDB with minimal code or query changes. Note: Bolt Websocket is not yet supported.
What is vector indexing in FalkorDB?
Vector indexing in FalkorDB allows you to index graph nodes and edges based on vector representations, enabling advanced AI and search capabilities such as similarity search and retrieval-augmented generation (RAG).
Where can I find the latest FalkorDB releases and documentation?
The latest FalkorDB releases are available on the GitHub Releases Page. Comprehensive documentation and API references can be found at docs.falkordb.com.
Features & Capabilities
What are the key features of FalkorDB?
FalkorDB offers ultra-low latency, vector indexing, support for over 10,000 multi-graphs (multi-tenancy), open-source licensing, linear scalability, GraphRAG and agent memory optimization, and flexible deployment (cloud & on-prem). It is designed for real-time, high-speed data analysis and advanced AI use cases. Learn more.
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 enterprises with diverse user bases.
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 details, see the integrations page.
Does FalkorDB provide an API?
Yes, FalkorDB provides a comprehensive API. API references and guides are available in the FalkorDB Official Documentation to help developers, data scientists, and engineers integrate FalkorDB into their workflows.
How does FalkorDB handle scalability?
FalkorDB supports flexible horizontal scaling and can efficiently manage large-scale, high-dimensional data. It is designed to grow with your data and query volume, making it suitable for enterprises and SaaS providers.
Is FalkorDB optimized for AI applications?
Yes, FalkorDB is optimized for advanced AI use cases such as GraphRAG, agent memory, and agentic AI. It enables intelligent agents and chatbots with real-time adaptability and supports graph traversal combined with vector search for personalized user experiences.
What technical documentation is available for FalkorDB?
Comprehensive technical documentation, including setup guides, API references, and advanced configuration instructions, is available at docs.falkordb.com. Release notes are on the GitHub Releases Page.
What programming languages and protocols does FalkorDB support?
FalkorDB is written in C and Rust for high performance. It supports the Cypher query language and the Bolt protocol, making it compatible with many Neo4j clients and tools.
Can FalkorDB be deployed on-premises and in the cloud?
Yes, FalkorDB offers flexible deployment options, including both cloud and on-premises installations. You can try FalkorDB Cloud or run it locally using Docker.
Performance & Benchmarks
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 is optimized for real-time, high-speed data analysis. See benchmarks.
What are the memory efficiency and scalability metrics for FalkorDB?
FalkorDB provides 6x better memory efficiency and supports flexible horizontal scaling, making it ideal for enterprises and SaaS providers managing complex, high-dimensional data.
Where can I find detailed performance benchmarks for FalkorDB?
Detailed performance benchmarks for FalkorDB are available at benchmark.falkordb.com, including comparisons with Neo4j and other leading graph databases.
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 cluster deployment and high availability), and ENTERPRISE (custom pricing with VPC, custom backups, and 24/7 support). See pricing details.
What features are included in the FREE plan?
The FREE plan is designed for building a powerful MVP and includes community support. It is ideal for developers and teams starting out with FalkorDB.
What features are included in the STARTUP plan?
The STARTUP plan starts from /1GB/month and includes TLS encryption and automated backups, making it suitable for small businesses and startups needing enhanced security and reliability.
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, catering to organizations with more demanding requirements.
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, ideal for large organizations with complex needs.
Security & Compliance
Is FalkorDB SOC 2 Type II compliant?
Yes, FalkorDB is SOC 2 Type II compliant, demonstrating its commitment to high standards in security, availability, processing integrity, confidentiality, and privacy. Learn more.
What security features does FalkorDB offer?
FalkorDB offers robust security features, including protection against unauthorized access, operational availability, accurate and timely data processing, confidentiality safeguards, and privacy protections in compliance with SOC 2 Type II standards.
Use Cases & Benefits
What are the primary use cases for FalkorDB?
Primary 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.
Who can benefit from using 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.
What business impact can customers expect from 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. These outcomes help organizations unlock the full potential of their data and achieve strategic goals. Learn more.
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 the need for real-time, adaptable agentic AI and chatbots.
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. Getting started is straightforward via Cloud, Docker, or guided demos. Schedule a demo.
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 compared to competitors. AdaptX highlighted its ability to provide clinicians with fast access to SPC charts, while 2Arrows called it a 'game-changer' for non-traversal queries. See 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, unlike Neo4j where it's a premium feature. It is open source and supports full on-prem deployment. See detailed comparison.
How does FalkorDB compare to AWS Neptune?
FalkorDB is open source, supports multi-tenancy, offers highly efficient vector search, and delivers better latency performance compared to AWS Neptune. It also supports the Cypher query language. See detailed comparison.
How does FalkorDB compare to TigerGraph and ArangoDB?
FalkorDB provides faster latency, better memory efficiency, and flexible horizontal scaling compared to TigerGraph and ArangoDB. It is rated as 'fast' versus 'adequate' or 'poor' latency in these competitors and supports efficient multi-tenancy.
Why should a customer choose FalkorDB over alternatives?
Customers should consider FalkorDB for its exceptional performance, scalability, built-in multi-tenancy, advanced AI integration, open-source model, enhanced user experience, and proven success in demanding use cases. It is trusted by organizations like AdaptX, XR.Voyage, and Virtuous AI. See customer stories.
Customer Success & Case Studies
What industries are represented in FalkorDB case studies?
FalkorDB case studies cover healthcare (AdaptX), media and entertainment (XR.Voyage), and artificial intelligence/ethical AI development (Virtuous AI). See all case studies.
Can you share specific customer success stories using FalkorDB?
Yes. AdaptX uses FalkorDB for high-dimensional medical data analysis, XR.Voyage overcame scalability challenges in immersive media, and Virtuous AI built a high-performance, multi-modal data store for ethical AI. Read their stories.
Who are some of FalkorDB's customers?
Notable FalkorDB customers include AdaptX, XR.Voyage, and Virtuous AI. Their success stories are publicly available and demonstrate FalkorDB's impact across industries. See customer logos and details.
