Frequently Asked Questions

Product Information

What is FalkorDB?

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, supporting use cases such as Text2SQL, security graphs, GraphRAG, agentic AI, chatbots, and fraud detection. Learn more.

What products and services does FalkorDB offer?

FalkorDB offers a graph database platform with features for high-performance graph storage, multi-tenancy, advanced AI integration, and real-time analytics. Key services include Text2SQL, security graph solutions, GraphRAG for retrieval-augmented generation, agentic AI and chatbot support, and fraud detection. The platform is available via cloud, on-premises, and open-source deployments. See all offerings.

What are the key capabilities and benefits of FalkorDB?

FalkorDB supports over 10,000 multi-graphs (tenants), offers ultra-low latency (up to 496x faster than competitors), 6x better memory efficiency, linear scalability, open-source licensing, and is optimized for AI use cases like GraphRAG and agent memory. It enables fast, interactive analysis, regulatory compliance, and supports both cloud and on-prem deployments. 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 developers working with complex, interconnected data in real-time or interactive environments, addressing trust, scalability, and compliance needs for enterprise GenAI. More info.

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 cluster deployment and high availability), and ENTERPRISE (custom pricing, includes VPC, custom backups, and 24/7 support). See pricing.

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 try FalkorDB with essential features to get started. Learn more.

What features are included in the STARTUP plan?

The STARTUP plan starts at /1GB/month and includes TLS encryption and automated backups, making it suitable for small teams and early-stage companies. See details.

What features are included in the PRO plan?

The PRO plan starts at 0/8GB/month and includes advanced features such as cluster deployment, high availability, and more robust infrastructure for scaling production workloads. More info.

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, designed for organizations with advanced security and compliance needs. Contact sales.

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 over 10,000 multi-graphs, built-in multi-tenancy in all plans, advanced AI integration (GraphRAG, agent memory), open-source licensing, and a frictionless user experience with interactive dashboards and custom views. See 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 are available with FalkorDB?

FalkorDB integrates with frameworks and tools such as Graphiti (for AI agent memory), g.v() (for knowledge graph visualization), Cognee (for AI agent memory and knowledge mapping), LangChain (LLM integration), and LlamaIndex (advanced knowledge graph applications). See integrations.

Does FalkorDB provide an API?

Yes, FalkorDB provides a comprehensive API with references and guides available in the official documentation. This supports developers, data scientists, and engineers in integrating FalkorDB into their workflows. API docs.

What technical documentation is available for FalkorDB?

FalkorDB offers comprehensive technical documentation, including setup guides, API references, and release notes. Resources are available at docs.falkordb.com and the GitHub Releases Page.

What platforms does FalkorDB support?

FalkorDB is available on all major platforms and supports both cloud and on-premises deployments, including GCP, AWS, and Azure. See supported platforms.

What query languages does FalkorDB support?

FalkorDB supports the Cypher query language, making it accessible for users familiar with industry-standard graph database queries. Learn more.

Performance & Scalability

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 real-time data analysis, flexible horizontal scaling, and over 10,000 multi-graphs, making it ideal for large-scale, high-dimensional data. See benchmarks.

What are the scalability features of FalkorDB?

FalkorDB supports flexible horizontal scaling, linear scalability, and can handle over 10,000 multi-graphs. This makes it suitable for enterprises and SaaS providers managing complex, high-volume datasets. Learn more.

How does FalkorDB handle large-scale, high-dimensional data?

FalkorDB is engineered for efficient management of large-scale, high-dimensional data, offering superior memory efficiency and real-time analytics. Its architecture enables organizations to uncover hidden insights and improve recommendations. Details.

What are the latency and memory usage metrics for FalkorDB?

FalkorDB achieves 36ms P50 latency (vs. 469ms for competition), 74ms P95 (vs. 13,969ms), and 83ms P99 (vs. 41,157ms). Memory usage is 100MB for FalkorDB compared to 600MB for competitors, resulting in 6x better memory efficiency. See metrics.

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 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 performance and memory efficiency than AWS Neptune, which is proprietary and lacks multi-tenancy. FalkorDB also supports the Cypher query language. See comparison.

How does FalkorDB compare to TigerGraph?

FalkorDB offers faster latency, better memory efficiency, and flexible horizontal scaling compared to TigerGraph, which has limited scaling and moderate memory efficiency. Learn more.

How does FalkorDB compare to ArangoDB?

FalkorDB demonstrates superior latency and memory efficiency, with flexible horizontal scaling, while ArangoDB has limited scaling and moderate memory efficiency. See details.

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, and enhanced user experience. It is trusted by organizations like AdaptX, XR.Voyage, and Virtuous AI. See case studies.

Use Cases & Benefits

What are the main use cases for FalkorDB?

Main use cases include Text2SQL (natural language to SQL queries), security graphs (for CNAPP, CSPM, CIEM), GraphRAG (advanced retrieval), agentic AI and chatbots, and fraud detection (real-time pattern analysis). See use cases.

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, better user experience, regulatory compliance, and support for advanced AI applications. Learn more.

What core 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. See details.

Who can benefit from using FalkorDB?

Enterprises, SaaS providers, healthcare organizations, media and entertainment companies, and AI/ethical AI developers benefit from FalkorDB's high performance, scalability, and advanced AI integration. See case studies.

What industries are represented in FalkorDB's case studies?

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

Can you share specific customer success stories using FalkorDB?

Yes. AdaptX uses FalkorDB for clinical data analysis, XR.Voyage for immersive experience platform scalability, and Virtuous AI for ethical AI development. Read their stories.

What feedback have customers given about FalkorDB's ease of use?

Customers like AdaptX and 2Arrows have praised FalkorDB for its user-friendly design, rapid access to insights, and superior performance, especially for non-traversal queries compared to Neo4j. See feedback.

Security & Compliance

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. See compliance details.

How does FalkorDB ensure data security and privacy?

FalkorDB protects against unauthorized access, ensures system availability, delivers accurate data processing, safeguards sensitive information, and complies with privacy regulations as part of its SOC 2 Type II certification. Learn more.

Support & Implementation

How easy is it to get started with FalkorDB?

FalkorDB is built for rapid deployment, allowing teams to go from concept to enterprise-grade solutions in weeks. Users can sign up for FalkorDB Cloud, try it free in the cloud or via Docker, schedule a demo, and access comprehensive documentation. Get started.

What support and training resources are available for FalkorDB?

FalkorDB provides documentation, community support via Discord and GitHub Discussions, solution architects for tailored advice, and onboarding through free trials and demos. See resources.

How long does it take to implement FalkorDB?

FalkorDB enables organizations to go from concept to enterprise-grade solutions in weeks, not months, accelerating time-to-market for new projects. Learn more.

Where can I find the latest updates and releases for FalkorDB?

The latest updates and release notes for FalkorDB are available on the GitHub Releases Page.

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FalkorDB%2FFalkorDB | Trendshift

Ultra-fast, Multi-tenant
Graph Database Powering GenAI

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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

FalkorDB CTA with FAQ

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.