Frequently Asked Questions

Product Overview & Core Capabilities

What is FalkorDB and what does it do?

FalkorDB is a high-performance, open-source 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 key features of FalkorDB?

Key features of FalkorDB include ultra-low latency (up to 496x faster than competitors), 6x better memory efficiency, support for over 10,000 multi-graphs (multi-tenancy), open-source licensing, linear scalability, advanced AI integration (GraphRAG, agent memory), and flexible deployment options (cloud and on-premises). Source

What problems does FalkorDB solve?

FalkorDB addresses challenges such as trust and reliability in LLM-based applications, scalability and management of large-scale, high-dimensional data, alert fatigue in cybersecurity, performance limitations of other graph databases, interactive data analysis, regulatory compliance, and the development of agentic AI and chatbots. Source

Who is FalkorDB designed for?

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. Source

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 for advanced retrieval, agentic AI and chatbots, fraud detection, and high-performance graph storage for complex relationships. Source

Performance & Scalability

How does FalkorDB perform compared to Neo4j?

FalkorDB delivers up to 496x faster latency and 6x better memory efficiency than Neo4j, as demonstrated in benchmarks. For example, PageRank queries on 820K nodes and 9.8M edges run 3.5x faster, and Weakly Connected Components (WCC) are 6x faster. Latency at P99 is 83ms for FalkorDB versus 41,157ms for Neo4j. See benchmarks

What scalability features does FalkorDB offer?

FalkorDB supports flexible horizontal scaling, linear scalability, and can handle over 10,000 multi-graphs (tenants), making it suitable for SaaS providers and enterprises with diverse user bases. Source

How does FalkorDB handle memory usage?

FalkorDB is 6x more memory efficient than Neo4j, using 100MB for workloads where Neo4j uses 600MB, enabling efficient handling of large-scale, high-dimensional data. Source

What deployment options are available for FalkorDB?

FalkorDB supports both cloud and on-premises deployments, with full on-prem deployment support for multi-instance clusters, unlike Neo4j which only supports single-instance on-prem deployments. Source

Features & Integrations

Does FalkorDB support multi-tenancy?

Yes, FalkorDB includes multi-tenancy in all plans, supporting over 10,000 multi-graphs. In contrast, Neo4j only offers multi-tenancy in its enterprise plan. Source

What query language does FalkorDB use?

FalkorDB supports the Cypher query language, making it familiar for users migrating from Neo4j and enabling advanced graph queries. Source

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 and LlamaIndex for LLM integration, and is open to new integrations. See integrations

Does FalkorDB provide an API?

Yes, FalkorDB provides a comprehensive API with official documentation and guides available at docs.falkordb.com for developers, data scientists, and engineers.

Is FalkorDB open source?

Yes, FalkorDB is open source, encouraging community collaboration and transparency. This is a key differentiator from proprietary solutions like Neo4j and AWS Neptune. Source

Migration & Implementation

How easy is it to migrate from Neo4j to FalkorDB?

FalkorDB provides detailed migration documentation and guides to help users switch from Neo4j with minimal interruptions. Resources include migration docs and a step-by-step migration guide.

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. Source

What resources are available to help me get started with FalkorDB?

Resources include a free trial, cloud sign-up, Docker deployment guides, comprehensive documentation, community support via Discord and GitHub, and tutorials on the FalkorDB blog. Get started

Does FalkorDB offer technical documentation?

Yes, FalkorDB provides comprehensive technical documentation and API references at docs.falkordb.com and release notes on GitHub.

Pricing & Plans

What pricing plans does FalkorDB offer?

FalkorDB offers four 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). Source

What features are included in the FREE plan?

The FREE plan is designed for building a powerful MVP and includes community support. Source

What features are included in the STARTUP plan?

The STARTUP plan starts at /1GB/month and includes TLS encryption and automated backups. Source

What features are included in the PRO plan?

The PRO plan starts at 0/8GB/month and includes advanced features such as cluster deployment and high availability. Source

What features are included in the ENTERPRISE plan?

The ENTERPRISE plan offers tailored pricing and includes enterprise-grade features like VPC, custom backups, and 24/7 support. Source

Security & Compliance

Is FalkorDB SOC 2 Type II compliant?

Yes, FalkorDB is SOC 2 Type II compliant, meeting rigorous standards for security, availability, processing integrity, confidentiality, and privacy. Source

What security features does FalkorDB provide?

FalkorDB provides robust security features including protection against unauthorized access, operational availability, accurate and timely data processing, confidentiality safeguards, and privacy compliance. Source

Competition & Comparison

How does FalkorDB compare to Neo4j?

FalkorDB offers open-source licensing, an in-memory storage model (C, Rust), multi-tenancy in all plans, up to 496x faster latency, 6x better memory efficiency, flexible horizontal scaling, and full on-prem deployment support. Neo4j uses on-disk storage (Java), offers multi-tenancy only in enterprise plans, and has limited horizontal scaling. See full comparison

How does FalkorDB compare to AWS Neptune?

FalkorDB is open source, supports multi-tenancy, offers highly efficient vector search, and provides better latency performance compared to AWS Neptune, which is proprietary, has limited vector search, and no multi-tenancy support. See comparison

How does FalkorDB compare to TigerGraph and ArangoDB?

FalkorDB provides faster latency, more efficient memory usage, and flexible horizontal scaling compared to TigerGraph and ArangoDB, which have moderate memory efficiency and limited horizontal scaling. Source

Why should I choose FalkorDB over Neo4j?

FalkorDB offers superior performance (up to 496x faster latency), better memory efficiency, multi-tenancy in all plans, open-source licensing, and flexible scaling, making it ideal for real-time, high-speed, and AI-driven applications. See why

What are the main differences in architecture between FalkorDB and Neo4j?

FalkorDB uses an in-memory storage model written in C and Rust, while Neo4j uses on-disk storage written in Java. This results in significant performance and efficiency advantages for FalkorDB. Source

Customer Success & Industry Use

What feedback have customers given about FalkorDB?

Customers like AdaptX and 2Arrows have praised FalkorDB for its ease of use, rapid access to insights, and superior performance compared to Neo4j. Anthony Ray, CTO of 2Arrows, called FalkorDB a "game-changer" for running non-traversal queries. See case studies

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 industries

Can you share some FalkorDB customer success stories?

Yes. AdaptX uses FalkorDB for high-dimensional medical data analysis, XR.Voyage for immersive experience scalability, and Virtuous AI for ethical AI development. Read their stories

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. Source

Who are some of FalkorDB's customers?

Notable customers include AdaptX, XR.Voyage, and Virtuous AI. Their case studies are available on the FalkorDB website. See customers

Neo4j vs FalkorDB

The best Neo4j Alternative

Ready to leave behind ballooning costs, poor latency and inadequate performance?
FalkorDB vs Neo4j Comparison
Licensing
FalkorDB Neo4j
Open Source
✓
✗
Architecture
FalkorDB Neo4j
Data Storage In-memory On disk
Written in C, Rust Java
Enterprise Features
FalkorDB Neo4j
Multi-tenancy
✓
All plans 		Enterprise plan only
Replication
✓
✓
Performance
FalkorDB Neo4j
Latency 496x faster Poor
Memory Efficiency Highly efficient Baseline
Horizontal Scaling Flexible Limited
Query & Processing
FalkorDB Neo4j
Query language Cypher Cypher
Query execution Plans
✓
✓
Vector & Full-text Search
✓
✓
Deployment Options
FalkorDB Neo4j
On-prem
✓
 Single-instance only
Cloud
✓
✓
Licensing
Open Source
FalkorDB
✓
Neo4j
✗
Architecture
Data Storage
FalkorDB
In-memory
Neo4j
On disk
Written in
FalkorDB
C, Rust
Neo4j
Java
Enterprise Features
Multi-tenancy
FalkorDB
✓
All plans
Neo4j
Enterprise plan only
Replication
FalkorDB
✓
Neo4j
✓
Performance
Latency
FalkorDB
496x faster
Neo4j
Poor
Memory Efficiency
FalkorDB
6x more efficient
Neo4j
Baseline
Horizontal Scaling
FalkorDB
Flexible
Neo4j
Limited
Query & Processing
Query language
FalkorDB
Cypher
Neo4j
Cypher
Query execution Plans
FalkorDB
✓
Neo4j
✓
Vector & Full-text Search
FalkorDB
✓
Neo4j
✓
Deployment Options
On-prem
FalkorDB
✓
Neo4j
Single-instance only
Cloud
FalkorDB
✓
Neo4j
✓
FalkorDB Benchmark Cards

PAGE RANK

Graph Algorithm

820K nodes • 9.8M edges

Speed: 3.5x faster

FalkorDB
Neo4j
FalkorDB
18.53ms
Neo4j
417.31ms

WCC

Weakly Connected Components

820K nodes • 9.8M edges

Speed: 6x faster

FalkorDB
Neo4j
FalkorDB
17.8ms
Neo4j
1324.32ms

LATENCY

(Lower is Better)

Superior: 496x faster

FalkorDB
Neo4j
36ms
469ms
P50
74ms
13969ms
P95
83ms
41157ms
P99

MEMORY USAGE

(Lower is Better)

6x Better performance

FalkorDB
Neo4j
100MB
FalkorDB
600MB
Neo4j

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.

Migration docs
Migration Guide
Benchmarks
FalkorDB CTA Only

Stop 'deCyphering' Which
Graph Database is Better.

"FalkorDB has been a game-changer for our startup. Disappointed by Neo4j's lack of support and slow performance, we turned to FalkorDB as a robust backend solution. Our wish? To run non-traversal queries with performance rivaling MongoDB or Postgres—something FalkorDB delivers where Neo4j fell short." - Anthony Ray, 2Arrows CTO.

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