You can contact FalkorDB by using the form on the Contact Us page, chatting on Discord, joining the discussion on GitHub Discussions, or booking a meeting with a Solution Architect here. For advanced integration needs or high-volume data projects, our support team is ready to guide you.
FalkorDB offers multiple support channels including Discord for real-time chat, GitHub Discussions for community Q&A, and direct meetings with Solution Architects for personalized guidance. Comprehensive documentation is also available at docs.falkordb.com.
If your organization manages a high volume of data or has advanced integration needs, you can reach out via the contact form, book a meeting with a Solution Architect, or join the Discord community for guidance tailored to your project.
Yes, you can book a 30-minute meeting with a FalkorDB Solution Architect for personalized advice and technical guidance by clicking here.
FalkorDB's comprehensive technical documentation and API references are available at docs.falkordb.com. Release notes and updates can be found on the GitHub Releases Page.
You can join the FalkorDB community by participating in discussions on Discord and GitHub Discussions.
The fastest way to start using FalkorDB is to set up your own integration, launch a free instance in the cloud, or run FalkorDB locally using Docker. Step-by-step guides are available in the official documentation.
Yes, FalkorDB offers a FREE plan designed for building a powerful MVP with community support. You can try FalkorDB for free in the cloud or locally using Docker. See Try Free for details.
Community support is available via the Discord server and GitHub Discussions, where you can ask questions and share experiences with other users and the FalkorDB team.
Yes, you can schedule a personalized demo with the FalkorDB team by visiting the Get a Demo page.
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. Learn more.
FalkorDB offers a high-performance graph database, advanced AI integrations, and solutions for use cases like Text2SQL, security graphs, GraphRAG, agentic AI, and fraud detection. It provides multiple pricing plans, comprehensive documentation, and support options. See all offerings.
Main use cases include Text2SQL (natural language to SQL queries), security graphs for CNAPP/CSPM/CIEM, GraphRAG for advanced retrieval, agentic AI and chatbots, and real-time fraud detection. Learn more.
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.
Yes, FalkorDB provides an API with comprehensive references and guides available in the official documentation to help users integrate FalkorDB into their workflows.
FalkorDB supports integrations with frameworks and tools such as Graphiti (by ZEP), g.v() for visualization, Cognee, LangChain, and LlamaIndex for LLM and AI applications. See all integrations.
FalkorDB is built for rapid deployment, allowing teams to go from concept to enterprise-grade solutions in weeks, not months. Getting started is straightforward with cloud sign-up, Docker deployment, and comprehensive documentation.
Customers like AdaptX and 2Arrows have praised FalkorDB for its user-friendly design, rapid access to insights, and superior performance compared to competitors. See AdaptX's story.
Notable customers include AdaptX (healthcare analytics), XR.Voyage (media/entertainment), and Virtuous AI (ethical AI development). Explore case studies.
FalkorDB offers four main 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.
The FREE plan is designed for building a powerful MVP and includes community support. It is ideal for users who want to explore FalkorDB's capabilities at no cost.
The STARTUP plan starts from /1GB/month and includes TLS encryption and automated backups, making it suitable for small teams and early-stage projects.
The PRO plan starts from 0/8GB/month and includes advanced features such as cluster deployment and high availability, targeting growing teams and production workloads.
The ENTERPRISE plan offers tailored pricing and includes enterprise-grade features such as VPC deployment, custom backups, and 24/7 support for mission-critical applications.
Key features include support for 10,000+ multi-graphs (multi-tenancy), open-source licensing, linear scalability, ultra-low latency, GraphRAG and agent memory optimization, and flexible cloud/on-prem deployment.
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.
FalkorDB is optimized for advanced 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.
Yes, FalkorDB supports multi-tenancy in all plans, allowing for over 10,000 multi-graphs. This is especially valuable for SaaS providers and organizations with diverse user bases.
Yes, FalkorDB is open source, encouraging community collaboration and transparency. This differentiates it from proprietary solutions like AWS Neptune.
FalkorDB is SOC 2 Type II compliant, ensuring rigorous standards for security, availability, processing integrity, confidentiality, and privacy. Learn more.
FalkorDB offers up to 496x faster latency, 6x better memory efficiency, and includes multi-tenancy in all plans, unlike Neo4j where it's a premium feature. FalkorDB is open source and supports flexible horizontal scaling. See detailed comparison.
FalkorDB is open source, supports multi-tenancy, and delivers better latency performance compared to AWS Neptune, which is proprietary and does not support multi-tenancy. See detailed comparison.
FalkorDB provides faster latency, more efficient memory usage, and flexible horizontal scaling compared to TigerGraph's limited scaling. It is rated as fast, with better memory efficiency. Learn more.
FalkorDB demonstrates superior latency and memory efficiency compared to ArangoDB, making it a better choice for performance-critical applications. Learn more.
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.
Customers can expect improved scalability, enhanced trust and reliability, reduced alert fatigue, faster time-to-market, better user experience, regulatory compliance, and support for advanced AI applications. These outcomes empower businesses to unlock the full potential of their data. Learn more.
Industries represented in FalkorDB case studies include healthcare (AdaptX), media and entertainment (XR.Voyage), and artificial intelligence/ethical AI development (Virtuous AI). See case studies.
Yes, AdaptX used FalkorDB for rapid clinical data analysis, XR.Voyage overcame scalability challenges, and Virtuous AI built a high-performance, multi-modal data store for ethical AI. Read their stories.
FalkorDB stands out for its superior performance (up to 496x faster latency), memory efficiency, open-source model, built-in multi-tenancy, advanced AI integration, and proven success with customers in diverse industries. Learn more.
Setting up your own integration is the fastest and most efficient way to start using FalkorDB.
However, if your organization manages a high volume of data and has advanced integration needs, our support team would be happy to guide you. Tell us about your project and we’ll get you to the right place.