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 real-time data analysis, multi-tenancy, AI optimization, and advanced security. Services include cloud and on-prem deployment, comprehensive documentation, community support, and solution architect guidance. See all offerings.

What are the main use cases for FalkorDB?

FalkorDB is used for Text2SQL (natural language to SQL queries), security graphs (CNAPP, CSPM, CIEM), GraphRAG (graph-based retrieval), agentic AI and chatbots, fraud detection, and as a high-performance graph storage solution. Explore use cases.

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. Get a demo.

What industries use FalkorDB?

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.

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, reliability, scalability, enhanced user experience, regulatory compliance, and support for agentic AI and chatbots. Learn more.

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.

Where can I find FalkorDB technical documentation?

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

How can I get started with FalkorDB?

You can sign up for FalkorDB Cloud, try FalkorDB for free in the cloud or locally via Docker, schedule a demo, or access documentation and community support. Sign up or schedule a demo.

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. Resources like documentation, tutorials, and community support help accelerate onboarding. Learn more.

Features & Capabilities

What makes FalkorDB's performance stand out?

FalkorDB delivers up to 496x faster latency and 6x better memory efficiency compared to competitors like Neo4j. It supports over 10,000 multi-graphs, flexible horizontal scaling, and is optimized for AI applications such as GraphRAG and agent memory. See benchmarks.

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 such as Graphiti (by ZEP), g.v() for visualization, Cognee, LangChain, and LlamaIndex for LLM and AI applications. See integrations.

Is FalkorDB open source?

Yes, FalkorDB is open source, encouraging community collaboration and transparency. View the repository.

What deployment options are available for FalkorDB?

FalkorDB offers both cloud and on-prem deployment options, supporting major cloud providers like GCP, AWS, and Azure. Learn more.

Does FalkorDB support Cypher query language?

Yes, FalkorDB supports the industry-standard Cypher query language, making it easier for developers familiar with graph databases to get started. See documentation.

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 regulatory compliance?

FalkorDB's GraphRAG-SDK helps organizations stay ahead of financial regulations by mapping regulations to workflows, identifying compliance gaps, and providing actionable recommendations. Learn more.

What customer feedback has FalkorDB received regarding ease of use?

Customers like AdaptX and 2Arrows have praised FalkorDB for its user-friendly design and high-speed performance. AdaptX highlighted rapid access to clinical data insights, while 2Arrows called FalkorDB a 'game-changer' for ease of running non-traversal queries. Read case studies.

What pain points does FalkorDB address?

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.

Pricing & Plans

What pricing plans does FalkorDB offer?

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, 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. See details.

What features are included in the STARTUP plan?

The STARTUP plan starts from /1GB/month and includes TLS and automated backups. See details.

What features are included in the PRO plan?

The PRO plan starts from 0/8GB/month and includes advanced features like cluster deployment and high availability. See 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. See details.

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 multi-tenancy is a premium feature. FalkorDB 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 better latency performance, and is more memory-efficient than AWS Neptune. It also supports the Cypher query language. See detailed comparison.

How does FalkorDB compare to TigerGraph?

FalkorDB provides faster latency, more efficient memory usage, and flexible horizontal scaling compared to TigerGraph. Learn more.

How does FalkorDB compare to ArangoDB?

FalkorDB demonstrates superior latency and memory efficiency, with flexible horizontal scaling, making it a strong choice for performance-critical applications compared to ArangoDB. Learn more.

What are the main differentiators between FalkorDB and its competitors?

FalkorDB stands out with open-source licensing, in-memory storage, multi-tenancy in all plans, superior latency and memory efficiency, flexible horizontal scaling, and advanced AI integration. See comparison table.

Why should a customer choose FalkorDB over alternatives?

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

Use Cases & Benefits

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

Who are some of FalkorDB's customers?

Notable customers include AdaptX, XR.Voyage, and Virtuous AI, each leveraging FalkorDB for industry-specific challenges. See customer list.

How does FalkorDB help with agentic AI and chatbots?

FalkorDB combines graph traversal with vector search to support intelligent agents and chatbots, enabling real-time adaptability and personalized user experiences. Learn more.

How does FalkorDB address alert fatigue in cybersecurity?

FalkorDB enables security teams to prioritize and correlate alerts effectively, reducing false positives and improving threat detection, which helps prevent analyst burnout. Learn more.

How does FalkorDB support interactive data analysis?

FalkorDB enables fast, interactive analysis of complex data through dashboards and custom views, providing a frictionless and differentiated user experience. Learn more.

How does FalkorDB help with scalability and data management?

FalkorDB supports flexible horizontal scaling and efficient management of large-scale, high-dimensional data, making it suitable for enterprises and SaaS providers. Learn more.

How does FalkorDB improve trust and reliability in LLM-based applications?

FalkorDB provides a low-latency, high-accuracy graph database that ensures precision, speed, and scalability for enterprise-grade solutions, addressing trust and reliability issues in deploying LLM-based applications. Learn more.

What support and training options are available for FalkorDB?

FalkorDB offers comprehensive documentation, community support via Discord and GitHub Discussions, and access to solution architects for tailored advice. See documentation.

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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.

Discord Members Counter
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.