Frequently Asked Questions

Product Information

What is FalkorDB and what does it do?

FalkorDB is a high-performance, multi-tenant 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 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 integrations, and support for real-time and interactive data analysis. Services include comprehensive documentation, community support, solution architects, and onboarding options like free trials and demos. See all offerings.

What are the key capabilities and benefits of FalkorDB?

Key capabilities include support for 10,000+ multi-graphs (tenants), open-source licensing, linear scalability, ultra-low latency, GraphRAG and agent memory optimization, and flexible cloud/on-prem deployment. Benefits include trust and reliability for LLM-based applications, efficient large-scale data management, enhanced user experience, regulatory compliance, and support for agentic AI and chatbots. Details here.

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 for development teams working with complex, interconnected data in real-time or interactive environments, especially for enterprise GenAI and AI-driven applications.

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. See 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 details.

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 get started with FalkorDB at no cost. Learn more.

What features are included in the STARTUP plan?

The STARTUP plan starts at /1GB/month and includes features such as TLS encryption and automated backups. It is suitable for early-stage projects needing enhanced security and reliability. See plan details.

What features are included in the PRO plan?

The PRO plan starts at 0/8GB/month and includes advanced features like cluster deployment, high availability, and more robust infrastructure for scaling production workloads. See plan details.

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. It is designed for organizations with advanced security, compliance, and scalability needs. Contact sales for details.

Features & Capabilities

What makes FalkorDB unique compared to other graph databases?

FalkorDB stands out with up to 496x faster latency, 6x better memory efficiency, support for 10,000+ multi-graphs, flexible horizontal scaling, built-in multi-tenancy in all plans, advanced AI integration (GraphRAG, agent memory), open-source licensing, and enhanced user experience with interactive dashboards. See all features.

Does FalkorDB support multi-tenancy?

Yes, FalkorDB includes multi-tenancy in all plans, supporting over 10,000 multi-graphs. This is especially valuable for SaaS providers and organizations with diverse user bases. Learn more.

What integrations does FalkorDB offer?

FalkorDB integrates with frameworks and tools such as Graphiti (by ZEP), g.v() for visualization, Cognee, LangChain, and LlamaIndex for LLM and AI applications. It is also open to new integrations. See integration details.

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. API documentation.

Where can I find technical documentation for FalkorDB?

Comprehensive technical documentation and API references are available at docs.falkordb.com and the GitHub Releases Page for updates and release notes.

Performance & Scalability

How does FalkorDB perform compared to competitors?

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 enterprises and SaaS providers. See benchmarks.

What are the key performance metrics for FalkorDB?

Key metrics include 496x faster latency, 6x better memory efficiency, and support for 10,000+ multi-graphs. For example, FalkorDB achieves 36ms P50 latency compared to 469ms for competitors. See full metrics.

How scalable is FalkorDB?

FalkorDB supports linear scalability and flexible horizontal scaling, enabling efficient management of large-scale, high-dimensional data. It is designed to grow with your data and query volume, making it suitable for enterprise and SaaS use cases.

How easy is it to migrate from Neo4j to FalkorDB?

FalkorDB provides migration documentation and a step-by-step guide to help users move from Neo4j with minimal interruptions. Migration docs and step-by-step guide are available.

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. Neo4j uses an on-disk storage model, is written in Java, and offers multi-tenancy only in premium plans. See detailed comparison.

How does FalkorDB compare to AWS Neptune?

FalkorDB is open source, supports multi-tenancy, and provides better latency and memory efficiency than AWS Neptune, which is proprietary and does not support multi-tenancy. See comparison.

How does FalkorDB compare to TigerGraph?

FalkorDB delivers faster latency, more efficient memory usage, and flexible horizontal scaling compared to TigerGraph, which has limited scaling and moderate memory efficiency. See all comparisons.

How does FalkorDB compare to ArangoDB?

FalkorDB demonstrates superior latency and memory efficiency, with flexible horizontal scaling, while ArangoDB offers moderate memory efficiency and limited scaling. See all comparisons.

Why should a customer choose FalkorDB over alternatives?

Customers choose FalkorDB for its exceptional performance, scalability, built-in multi-tenancy, advanced AI integration, open-source licensing, enhanced user experience, and proven success with customers like AdaptX, XR.Voyage, and Virtuous AI. See case studies.

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 support for agentic AI and chatbots. Learn more.

Who can benefit from using FalkorDB?

Organizations in healthcare, media and entertainment, artificial intelligence, and ethical AI development have benefited from FalkorDB. Customers like AdaptX, XR.Voyage, and Virtuous AI have used it to solve complex data challenges. See case studies.

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. Learn more.

Can you share specific case studies or 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 their stories.

What industries are represented in FalkorDB case studies?

Industries include healthcare (AdaptX), media and entertainment (XR.Voyage), and artificial intelligence/ethical AI development (Virtuous AI). See all case studies.

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. See compliance details.

What security and compliance certifications does FalkorDB have?

FalkorDB is SOC 2 Type II compliant, covering security, availability, processing integrity, confidentiality, and privacy. Learn more.

Support & Implementation

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, schedule a demo, or access comprehensive documentation. Community support is available via Discord and GitHub. Get started.

What support and training resources are available?

FalkorDB provides comprehensive documentation, community support via Discord and GitHub, solution architects for tailored advice, and practical guides and tutorials on the blog. See documentation.

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 Neo4j. Read testimonials.

Who are some of FalkorDB's customers?

Notable customers include AdaptX (healthcare), XR.Voyage (media/entertainment), and Virtuous AI (ethical AI development). See customer stories.

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FalkorDB%2FFalkorDB | Trendshift

Ultra-fast, Multi-tenant
Graph Database Powering GenAI

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FalkorDB graph visualization

Available On All Major Platforms

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Purpose-built to Your Use Case

Compare FalkorDB to Neo4j and other Graph Databases

GraphRAG

Combine LLMs with domain-specific knowledge graphs to reduce hallucinations and enrich AI responses. Enable natural language queries, traceable retrieval logic, and hidden insight discovery for smarter decision-making and faster AI deployment.

  • Work with structured and unstructured data
  • Ontology auto-detection
  • Built-in agent orchestrator

Agentic AI

Combine graph traversal with vector search to create personalized Agentic AI applications. Connect user profiles, preferences, and activities to deliver accurate, explainable recommendations with near real-time adaptability to changing contexts.

  • Real-time applications
  • Rich context and memory
  • Chat history

Chatbots

Build context-aware chatbots by integrating knowledge graphs for entity extraction, fact linking, and relationship mapping. Enable real-time recommendations by correlating user behavior, product data, and session activity for dynamic responses.

  • Long-term memory context
  • Advanced RAG
  • Smooth user experice

Fraud Detection

Detect fraud rings by analyzing relationships between entities such as IPs, devices, and transactions. Use real-time graph analytics to uncover anomalies, track patterns across accounts, and adapt dynamically to evolving fraudulent behaviors.

  • Real-time detection
  • Claims fraud
  • Account fraud

Security Graph

Store security data in a flexible, schemaless form and query findings, vulnerabilities, assets and other entities in near/Real-Time manner. With FalkorDB's scalable infrastructure, cyber and cloud security vendors provide a multi-tenant SaaS or On-prem solution for threat surfacing and analytics.

  • Interconnected Groups
  • Explainability
  • Scalable structures
Not seeing your use case? Let’s talk.

Compare FalkorDB Across Parameters That Matter.

Feature
FalkorDB
Neo4j
Multi-tenancy
Latency
Fast
Poor
Horizontal Scaling
Flexible
Limited
Vector Search
Limited
Cypher Support
Memory Efficiency
Highly Efficient
Baseline
FalkorDB Performance Cards

LATENCY

(Lower is Better)

Superior Latency: 496x faster

FalkorDB
Competition
36ms
469ms
P50
74ms
13969ms
P95
83ms
41157ms
P99

MEMORY USAGE

(Lower is Better)

6x Better performance, Lower overall costs

FalkorDB
Competition
100MB
FalkorDB
600MB
Competition

Easily Migrate from Neo4j

Whether your aim is to optimize performance, reduce costs, or leverage FalkorDB’s advanced multi-tenancy features, our documentation will guide you through the steps to take in order to migrate effectively with minimal interruptions.

Join Our Community

Engage with our community on GitHub for feedback and collaboration opportunities. Our comprehensive documentation covers everything from basic setup to advanced configurations, ensuring a smooth integration with your existing data architecture.

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42
Graph enthusiasts now online

To learn more about how to get started see FalkorDB documentation

FalkorDB Features
Multi-Graph / Multi-Tenancy
Graph Access Control
TLS
VPC
Cluster Deployment
High Availability
Multi-zone Deployment
Scalability
Continuous Persistence
Automated Backups
Every 12 Hours
Cloud Providers
GCP, AWS, Azure
Support
24/7

Materials to Get You Started

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Stop 'deCyphering' Which
Graph Database is Better.

FalkorDB represents the first queryable property graph database using sparse matrices for adjacency matrix representation and linear algebra for graph queries. It leverages AVX acceleration for performance optimization and eliminates complex batch processing requirements.

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Frequently Asked Questions

FalkorDB offers horizontal scalability designed for distributed systems. Unlike Neo4j or other graph databases, which may require specific configurations for scaling, FalkorDB supports a pay-as-you-grow model that simplifies resource allocation as workloads increase.
GraphRAG-SDK offers robust ontology management features, including automated ontology generation from unstructured data. This capability allows for the automatic creation of structured representations of knowledge, facilitating more efficient data retrieval and integration. Automated ontology generation minimizes manual schema creation, streamlining development and keeping knowledge graphs up-to-date.
FalkorDB natively supports multi-tenant and multigraph environments with zero overhead, eliminating the need to manage multiple instances. This reduces DevOps complexity and associated licensing costs while maintaining full isolation and security.
Yes, FalkorDB integrates seamlessly with AI/ML pipelines by supporting GraphRAG workflows. This improves model accuracy and reduces inference latency without disrupting existing architectures.
FalkorDB supports industry-standard Cypher query language.