FalkorDB
- Company typePrivate
- Founded2023
- HeadquartersTel Aviv, Israel
- Headcount11–50
- GTM typeB2B
- OfferingSoftware
FalkorDB firmographics
Firmographics- Name
- FalkorDB
- Legal name
- FalkorDB Inc.
- Website
- https://falkordb.com
- Company type
- Private
- Founded year
- 2023
- Operating status
- Operating
- Headcount range
- 11–50 employees
- Ownership category
- akta.pro rank
FalkorDB industry classification
Industry- Product category
- Graph Database Software
- NAICS
- Software Publishers (5132), Computing Infrastructure Providers, Data Processing, Web Hosting, and Related Services (51821)
- SIC
- Services-Prepackaged Software (7372)
- akta.pro primary industry
- Graph Databases (HDAEAAAE)
- akta.pro secondary industries
- Database-as-a-Service (DBaaS) Platforms (HDAEAAAN), Managed Databases (Relational/NoSQL/In-Memory DBaaS) (HDABAAAE)
Keywords
Where FalkorDB is headquartered
LocationHeadquarters
- HQ city
- Tel Aviv
- HQ country
- Israel
- HQ region
- Middle East
Offices2 records
Markets served
FalkorDB business model
Business model- GTM type
- B2B
- Offering type
- Software
- Cost components
- Technology or R&D, Personnel, Infrastructure, Marketing or Sales, Operations
Revenue model
- Open Source (SSPLv1): Open-source graph database licensed under Server Side Public License v1. Free for internal use, evaluation, and prototyping. Commercial licensing available for companies needing to avoid open-source requirements.
- Cloud DBaaS (FalkorDB Cloud): Managed cloud database service with tiered plans (Free, Startup, Pro, Enterprise) providing hosted graph database with automated backups, high availability, and multi-zone deployment
- Enterprise Licensing: Commercial enterprise licenses for organizations that want to deploy FalkorDB as part of a service without open-sourcing their codebase, with dedicated support and SLA guarantees
Pricing tiers
| Model | Billing | Price |
|---|---|---|
| Freemium | Monthly | Free tier for evaluation and small-scale usage |
| Subscription | Monthly | Startup tier for growing teams |
| Subscription | Monthly | Pro tier for production workloads |
| Subscription | Annual | Enterprise tier for large-scale deployments |
Go-to-market motion3 records
Distribution channels5 records
Marketing channels6 records
FalkorDB product offering
Product offeringCore offering
FalkorDB builds and sells an ultra-fast, multi-tenant property graph database that uses sparse matrix adjacency representation and GraphBLAS linear algebra for graph queries, with AVX acceleration and Cypher/BOLT protocol support. The product is offered as an open-source core (SSPLv1), a managed cloud DBaaS (FalkorDB Cloud), and commercial enterprise licenses, alongside AI-oriented add-ons such as the GraphRAG SDK, QueryWeaver (Text-to-SQL), MCP Server, and FalkorDBLite (embedded library).
Product overview
FalkorDB offers an ultra-fast, multi-tenant graph database built on sparse matrix representation and linear algebra operations, specifically designed for GenAI, real-time analytics, and knowledge graph applications. The product portfolio consists of FalkorDB Core (the open-source graph database with Cypher query support), GraphRAG SDK (open-source framework for knowledge graph pipelines), QueryWeaver (Text-to-SQL tool), and FalkorDBLite (embedded Python library). The database integrates with AI frameworks (LangChain, LlamaIndex, Graphiti), supports Model Context Protocol for agentic memory, and offers native Snowflake and Kafka connectivity for enterprise data pipelines.
Differentiator
Problem solved
Functional benefit
Products and services
- FalkorDB Core Ultra-fast, multi-tenant property graph database using sparse matrix adjacency representation and GraphBLAS linear algebra for graph queries. Supports Cypher query language, vector search, and AVX acceleration. Achieves 496x faster latency than Neo4j with 6x better memory efficiency, targets AI/GraphRAG, real-time analytics, fraud detection, and security workloads. Licensed under SSPLv1 for open-source use with commercial licensing available.
- FalkorDB Cloud Managed cloud DBaaS for FalkorDB with Free, Startup, Pro, and Enterprise tiers providing hosted graph database instances with automated backups, high availability, multi-zone deployment, VPC, TLS, and Graph Access Control. Targets developers and enterprises wanting fully managed graph database without self-hosting.
- GraphRAG SDK Open-source framework for building Graph Retrieval-Augmented Generation systems that integrates knowledge graphs with LLMs to deliver accurate RAG workflows. Features ontology auto-detection, multi-agent orchestration, and an ETL pipeline for structured/unstructured data ingestion. Targets AI developers building LLM applications and knowledge graph pipelines.
- QueryWeaver Open-source Text-to-SQL tool that uses knowledge graphs to generate accurate SQL queries from natural language, reducing query-writing time and enabling non-technical users to query databases. Designed for enterprise data access across multiple databases.
- CodeGraph Open-source tool for turning codebases into knowledge graphs. Models functions, files, and classes as nodes with CALLS, DEFINES, and IMPORTS relationships as edges, supporting code analysis and 'what breaks if I change this' queries for developers.
- MCP Server Model Context Protocol server that enables FalkorDB to serve as persistent, temporal memory for AI agents. Provides Graphiti MCP integration for multi-tenant knowledge graphs and supports agentic AI workflows using the MCP standard.
- FalkorDBLite Embedded graph database library for Python and TypeScript that enables in-process graph database functionality without requiring a separate server, positioned as the 'SQLite moment' for graph databases. Targets developers wanting lightweight, in-process graph storage.
- Security Graph Purpose-built graph database solution for cybersecurity applications including CNAPP, CSPM, CIEM, SAST, DAST, and IAM. Supports 10K+ multi-tenant graphs with real-time threat detection and 7-hop traversal queries, targeting cyber and cloud security vendors with multi-tenant SaaS and on-prem deployments.
Quantifiable outcome
- 496x faster p50 latency compared to Neo4j (36ms vs 13,969ms)
- +5 more outcomes
Companies that use FalkorDB
Customer profileNamed customers5 records
Segments4 records
Ideal customer profiles4 records
FalkorDB technology and API
TechnologyTechnology focussed Yes
API detail
- Has API
- Yes
- API docs
- API detail
Core technology
AI maturity
App detail
Integration15 records
AI capability11 records
Feature6 records
FalkorDB partnerships and signals
Strategic signalPartnerships
One partnership is on record.
- Datax Solution FZCregionalDatax Solution FZC appointed as distributor for FalkorDB in Middle East region, focusing on implementation across India. This partnership expands FalkorDB's reach into emerging markets through a regional distribution partner with local expertise.
Scale indicators9 records
Recent moves6 records
Expansion highlights6 records
FalkorDB competitors and assessment
Company assessmentDirect peers
- Neo4j: Neo4j is the dominant graph database vendor and FalkorDB's primary benchmark target, with multi-billion-dollar valuation and the largest enterprise mindshare in property graph databases. Both target Cypher-language graph workloads and compete head-to-head on latency, memory efficiency, and multi-tenancy.
- Memgraph: Memgraph is an in-memory graph database positioned for real-time analytics, frequently benchmarked against FalkorDB. Both target developers building real-time applications with Cypher support and compete on performance and cloud-native deployment.
- TigerGraph: TigerGraph is an enterprise graph database platform focused on large-scale analytics and fraud detection — use cases that overlap directly with FalkorDB's security graph and fraud detection positioning. Both target enterprise customers with complex relationship-based analytics.
- ArangoDB: ArangoDB is a multi-model database offering native graph, document, and search capabilities. Both target developers seeking flexible data models with graph capabilities, and both emphasize multi-model integration and cloud-native deployment.
- Stardog: Stardog is a knowledge graph platform focused on enterprise data fabric and semantic graph use cases. Both target enterprises building knowledge graphs for AI and analytics, with FalkorDB emphasizing performance and Stardog emphasizing semantic web standards.
- Ontotext (GraphDB): GraphDB by Ontotext is an RDF-based semantic graph database for knowledge graph and linked data use cases. Both target enterprises building knowledge graphs for AI applications and integrate with LLM workflows for retrieval-augmented generation.
Broad incumbents
- Amazon Neptune: AWS Neptune is the hyperscaler-managed graph database service bundled into the AWS ecosystem. FalkorDB explicitly publishes competitive comparisons against Neptune, highlighting its performance and multi-tenancy advantages versus the AWS incumbent.
- Microsoft Azure Cosmos DB (Gremlin API): Azure Cosmos DB's Gremlin API offers managed graph database capabilities as part of Microsoft's hyperscale cloud database platform. Both target enterprises seeking managed graph services, with Cosmos DB offering deeper Azure ecosystem integration and FalkorDB offering superior performance and multi-tenancy.
Emerging players
- Kùzu: Kùzu is an open-source embedded graph database positioned as similar to FalkorDBLite for in-process graph functionality. Both target developers building lightweight applications and compete on embedded deployment and Cypher support.
- NebulaGraph: NebulaGraph is an open-source distributed graph database designed for very large-scale graph workloads. Both are open-source graph databases targeting performance-sensitive enterprise use cases, though NebulaGraph emphasizes horizontal scale while FalkorDB emphasizes latency and multi-tenancy.
Market position
Strengths5 records
Weaknesses5 records
Competitive moat6 records
Key risks6 records
Key highlights7 records
Customer concentration
FalkorDB social profiles
Digital presenceFalkorDB financial estimates
Financial estimateRevenue estimate
Valuation estimate
FalkorDB leadership team
Management profileNumber of profiles
Profiles3 records
FalkorDB funding detail
Funding detailFunding overview
Funding rounds1 record
Investors2 records
Funding detail is available on the Subscription and Enterprise plan.Contact sales →
FalkorDB M&A and investment
M&A and investmentM&A
Investments
M&A and investment is available on the Subscription and Enterprise plan.Contact sales →
Frequently asked questions about FalkorDB
What does FalkorDB do?
FalkorDB builds and sells an ultra-fast, multi-tenant property graph database that uses sparse matrix adjacency representation and GraphBLAS linear algebra for graph queries, with AVX acceleration and Cypher/BOLT protocol support. The product is offered as an open-source core (SSPLv1), a managed cloud DBaaS (FalkorDB Cloud), and commercial enterprise licenses, alongside AI-oriented add-ons such as the GraphRAG SDK, QueryWeaver (Text-to-SQL), MCP Server, and FalkorDBLite (embedded library).
Is FalkorDB a public or private company?
FalkorDB is a private company. It is classified as venture growth investor backed and is currently operating.
When was FalkorDB founded?
FalkorDB was founded in 2023. It employs 11 to 50 people.
Where is FalkorDB based?
FalkorDB is headquartered in Tel Aviv, Israel, in the Middle East region.
How does FalkorDB make money?
Three revenue lines are on record. Open Source (SSPLv1) is the primary driver. The others are cloud DBaaS (FalkorDB Cloud) and enterprise Licensing.
Who are FalkorDB's main competitors?
Direct peers on record are Neo4j, Memgraph, TigerGraph, ArangoDB, Stardog and Ontotext (GraphDB). Broad incumbents are Amazon Neptune and Microsoft Azure Cosmos DB (Gremlin API). Emerging players are Kùzu and NebulaGraph.
Does FalkorDB have an API?
Yes. FalkorDB provides client libraries for multiple programming languages including Python, Node.js, Java, Rust, Go, PHP, and C#. It supports both RESP (Redis Serialization Protocol) and Bolt protocols for connectivity. The API enables developers to query graphs using Cypher language, manage graph operations, and integrate with AI/ML pipelines. Developer documentation is at docs.falkordb.com.
What industry is FalkorDB in?
FalkorDB's product category is Graph Database Software. Its primary akta.pro industry code is HDAEAAAE, Graph Databases, with a secondary code of HDAEAAAN, Database-as-a-Service (DBaaS) Platforms. Its NAICS code is 5132 and its SIC code is 7372.