Frequently Asked Questions
Pricing & Plans
What pricing plans does FalkorDB offer?
FalkorDB offers four main pricing plans: FREE, STARTUP, PRO, and ENTERPRISE. Each plan is designed to meet different needs, from building a powerful MVP to supporting enterprise-grade deployments. Pricing details are available inside the cloud instance, and you can contact Sales for more information. Learn more.
What features are included in the FREE plan?
The FREE plan includes multi-graph/multi-tenancy, graph access control, and community support. It does not include TLS, VPC, cluster deployment, high availability, scalability, automated backups, or advanced monitoring. This plan is ideal for building a powerful MVP with community support. See full details.
What does the STARTUP plan cost and what does it include?
The STARTUP plan starts from per 1GB per month. It includes multi-graph/multi-tenancy, graph access control, TLS, and automated backups every 12 hours. Support is provided via the community. Features like VPC, cluster deployment, and high availability are not included. See full details.
What does the PRO plan cost and what features are included?
The PRO plan starts from 0 per 8GB per month. It includes multi-graph/multi-tenancy, graph access control, TLS, cluster deployment, high availability, multi-zone deployment, scalability, continuous persistence, and automated backups every 12 hours. Support is provided during business hours. See full details.
What features are included in the ENTERPRISE plan?
The ENTERPRISE plan offers tailored pricing and includes all advanced features: multi-graph/multi-tenancy, graph access control, TLS, VPC, cluster deployment, high availability, multi-zone deployment, scalability, continuous persistence, custom automated backups, advanced monitoring, 24/7 enterprise support, and a dedicated account manager. See full details.
How can I view detailed pricing information for FalkorDB?
You can view detailed pricing information by signing up for a FalkorDB Cloud account or by contacting the Sales team directly. Sign up here or contact Sales.
Is there a free trial or free plan available?
Yes, FalkorDB offers a FREE plan that allows you to build a powerful MVP with community support. You can sign up and start using FalkorDB immediately. Try for free.
What support options are available for each plan?
The FREE and STARTUP plans include community support. The PRO plan offers business hours support, while the ENTERPRISE plan provides 24/7 enterprise support and a dedicated account manager. See support details.
How do I upgrade or change my FalkorDB plan?
You can upgrade or change your FalkorDB plan by contacting the Sales team or managing your subscription within the FalkorDB Cloud dashboard. Contact Sales for assistance.
What cloud providers are supported for deployment?
FalkorDB supports deployment on major cloud providers, including Google Cloud Platform, Amazon Web Services, and Microsoft Azure. See supported providers.
Features & Capabilities
What are the key features of FalkorDB?
Key features of FalkorDB include multi-graph/multi-tenancy, graph access control, TLS, VPC, cluster deployment, high availability, multi-zone deployment, scalability, continuous persistence, automated backups, advanced monitoring, and support for advanced AI use cases like GraphRAG and agent memory. Learn more.
Does FalkorDB support multi-tenancy?
Yes, FalkorDB supports multi-tenancy in all plans, enabling you to manage multiple graphs and tenants efficiently. This is a key differentiator compared to many competitors. Learn more.
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 for LLM integration, and LlamaIndex for advanced knowledge graph applications. See integrations.
Is FalkorDB open source?
Yes, FalkorDB is open source, encouraging community collaboration and transparency. Learn more.
Does FalkorDB provide an API?
Yes, FalkorDB provides a comprehensive API. You can access API references and guides in the FalkorDB Official Documentation.
What technical documentation is available for FalkorDB?
FalkorDB offers comprehensive technical documentation, including setup guides, API references, and release notes. Access the documentation at docs.falkordb.com and the latest updates at GitHub Releases.
What is GraphRAG and how does FalkorDB support it?
GraphRAG is an advanced graph-based retrieval system optimized for AI applications. FalkorDB supports GraphRAG with ultra-fast queries, regulatory compliance mapping, and integration with agentic AI workflows. Learn more.
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. Learn more.
How does FalkorDB handle backups and data persistence?
FalkorDB provides automated backups (every 12 hours for STARTUP and PRO, custom for ENTERPRISE) and supports continuous persistence in PRO and ENTERPRISE plans. See details.
Competition & Comparison
How does FalkorDB compare to Neo4j?
FalkorDB offers up to 496x faster latency, 6x better memory efficiency, and includes multi-tenancy in all plans, compared to Neo4j's premium-only multi-tenancy. FalkorDB uses an in-memory storage model and is open source. See detailed comparison.
How does FalkorDB compare to AWS Neptune?
FalkorDB is open source, supports multi-tenancy, and provides better latency performance compared to AWS Neptune, which is proprietary and does not support multi-tenancy. See detailed comparison.
How does FalkorDB compare to TigerGraph?
FalkorDB delivers faster latency, more efficient memory usage, and flexible horizontal scaling compared to TigerGraph's limited scaling. Learn more.
How does FalkorDB compare to ArangoDB?
FalkorDB demonstrates superior latency and memory efficiency, making it a better choice for performance-critical applications compared to ArangoDB. Learn more.
What makes FalkorDB different from other graph databases?
FalkorDB stands out with up to 496x faster latency, 6x better memory efficiency, built-in multi-tenancy, open-source licensing, advanced AI integration, and flexible horizontal scaling. Learn more.
Who are FalkorDB's main competitors?
FalkorDB's main competitors include Neo4j, AWS Neptune, TigerGraph, and ArangoDB. Each has different strengths, but FalkorDB excels in performance, scalability, and AI integration. See competitor table.
Why should I choose FalkorDB over Neo4j or AWS Neptune?
FalkorDB offers superior performance (up to 496x faster latency), better memory efficiency, open-source licensing, and includes multi-tenancy in all plans. It is also optimized for advanced AI use cases. See Neo4j comparison | See AWS Neptune comparison.
Use Cases & Benefits
What 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. Learn more.
Who can benefit from using FalkorDB?
Developers, data scientists, engineers, security analysts, enterprises, SaaS providers, and organizations managing complex, interconnected data in real-time or interactive environments can benefit from FalkorDB. Learn more.
What are some real-world use cases for FalkorDB?
FalkorDB is used for Text2SQL (natural language to SQL), security graphs (CNAPP, CSPM, CIEM), GraphRAG, agentic AI & chatbots, fraud detection, and high-performance graph storage for complex relationships. See use cases.
What business impact can I expect from using FalkorDB?
Customers can expect improved scalability, enhanced trust and reliability, reduced alert fatigue, faster time-to-market, enhanced user experience, regulatory compliance, and support for advanced AI applications. Learn more.
What industries use FalkorDB?
Industries using FalkorDB include healthcare (AdaptX), media and entertainment (XR.Voyage), and artificial intelligence/ethical AI development (Virtuous AI). See case studies.
Can you share specific customer success stories?
Yes, AdaptX used FalkorDB to analyze clinical data, XR.Voyage overcame scalability challenges, and Virtuous AI built a high-performance, multi-modal data store for ethical AI development. Read 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 compared to competitors. See testimonials.
How quickly can I implement FalkorDB?
FalkorDB is built for rapid deployment, allowing 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 the free plan, run locally with Docker, or schedule a demo. Comprehensive documentation and community support are available. See documentation.
Technical Requirements & Support
What roles and companies are best suited for FalkorDB?
FalkorDB is ideal for developers, data scientists, engineers, and security analysts at enterprises, SaaS providers, and organizations managing complex, interconnected data. Learn more.
What support resources are available for FalkorDB users?
Support resources include comprehensive documentation, community support via Discord and GitHub Discussions, solution architects for tailored advice, and business/enterprise support for higher-tier plans. See support options.
How can I access FalkorDB's latest updates and release notes?
You can access the latest updates and release notes on the FalkorDB GitHub Releases page.
Where can I find FalkorDB benchmarks and performance comparisons?
FalkorDB publishes real-world performance metrics and comparisons on its benchmarks page and dedicated comparison pages for Neo4j and AWS Neptune.
How does FalkorDB ensure data security and privacy?
FalkorDB is SOC 2 Type II compliant, ensuring protection against unauthorized access, operational availability, processing integrity, confidentiality, and privacy. Learn more.