| Maeli Contreras |
9 months ago |
Problem Solving |
FalkorDB delivers an ultra-fast, scalable graph database powered by sparse-matrix linear-algebra algorithms, enabling rapid and reliable knowledge-graph access that improves AI accuracy and performance. |
A super low-latency graph database that delivers knowledge to GenAI. |
| Maeli Contreras |
9 months ago |
Why unique? |
A super-fast graph database uses GraphBLAS under the hood for its sparse adjacency matrix graph representation. |
The first queryable property graph database using sparse matrices for adjacency matrix representation & linear algebra for graph queries. It leverages AVX acceleration for performance optimization and eliminates complex batch processing requirements. |
| Maeli Contreras |
9 months ago |
Features |
- Text2SQL: Natural language to SQL on complex schemas
- Security Graph: Security graph for CNAPP, CSPM & CIEM
- GraphRAG: Advanced graph-based retrieval with 496x faster queries
- Agentic AI & Chatbots: Build intelligent agents with graph-powered reasoning
- Fraud Detection: Real-time pattern detection across transaction networks
- Graph Database: High-performance graph storage for complex relationships |
- 10K+ Multi-Graphs: Host thousands of isolated graphs in a single instance for multi-tenant applications.
- Open Source: Fully transparent and community-accessible with publicly available code under a recognized license.
- Linear Scalability: Performance grows proportionally as resources or nodes are added.
- Ultra-Low Latency: Delivers extremely fast query responses for real-time applications.
- GraphRAG & Agent Memory Optimized: Designed for high-speed retrieval and AI agent memory workflows.
- Cloud & On-Prem: Flexible deployment in cloud or on-premises environments. |
| Maeli Contreras |
9 months ago |
Target Customer |
Developers, data engineers and software architects |
Developers, data engineers and software architects. |
| Maeli Contreras |
9 months ago |
Why unique? |
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 & eliminates complex batch processing requirements. |
A super-fast graph database uses GraphBLAS under the hood for its sparse adjacency matrix graph representation. |
| Maeli Contreras |
9 months ago |
Why unique? |
A super-fast graph database uses GraphBLAS under the hood for its sparse adjacency matrix graph representation. |
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 & eliminates complex batch processing requirements. |
| Maeli Contreras |
9 months ago |
Problem Solving |
A super low-latency graph database that delivers knowledge to GenAI |
FalkorDB delivers an ultra-fast, scalable graph database powered by sparse-matrix linear-algebra algorithms, enabling rapid and reliable knowledge-graph access that improves AI accuracy and performance. |
| Maeli Contreras |
9 months ago |
Phrase |
Ultra-fast, Multi-tenant Graph Database |
Ultra-fast, Multi-tenant Graph Database Powering GenAI |
| Maeli Contreras |
9 months ago |
Description |
FalkorDB is developing a novel graph database that transforms the graph database and AI industries. Our system is based on new but proven linear algebra algorithms for sparse matrices that deliver unprecedented performance, up to two orders of magnitude faster than leading graph databases. Our goal is to fill a crucial gap in AI generally and LLMs specifically by reducing hallucinations and improving accuracy and reliability. We achieve this by providing a fast, interactive knowledge graph that offers a superior alternative to current solutions |
FalkorDB is developing a novel graph database that revolutionizes the graph databases and AI industries. Our graph database is based on novel but proven linear algebra algorithms on sparse matrices that deliver unprecedented performance up to two orders of magnitude greater than the leading graph databases. Our goal is to provide the missing piece in AI in general and LLM in particular, reducing hallucinations and enhancing accuracy and reliability. We accomplish this by providing a fast and interactive knowledge graph, which provides a superior solution to the common solutions today. |
| Maeli Contreras |
9 months ago |
Phrase |
Queryable property graph database to use sparse matrices |
Ultra-fast, Multi-tenant Graph Database |
| Maeli Contreras |
9 months ago |
Logo |
 |
 |
| Maeli Contreras |
9 months ago |
Technology built with |
WordPress, Google Tag Manager, Zendesk, Elementor, HubSpot Analytics, Leadfeeder, Site Kit, Linkedin Insight Tag, Google Analytics, Contentsquare, RankMath SEO, Tippy.js, Swiper, Goober, LazySizes, jQuery UI, jQuery Migrate, core-js, jQuery, HSTS, Amazon Web Services, Google Font API, Twitter Emoji (Twemoji), Amazon Web Services, Contentsquare, Popper, RSS, PWA, Open Graph, HTTP/3, HubSpot WordPress plugin, ElementsKit, RankMath SEO, EWWW Image Optimizer, Site Kit, LiteSpeed, PHP, Hostinger, Amazon S3, HubSpot,MySQL |
WordPress, Google Tag Manager, Zendesk, Elementor, HubSpot Analytics, Leadfeeder, Site Kit, Linkedin Insight Tag, Google Analytics, Contentsquare, RankMath SEO, Tippy.js, Swiper, Goober, LazySizes, jQuery UI, jQuery Migrate, core-js, jQuery, HSTS, Am |
| Fatima Mendoza |
9 months ago |
Technology built with |
|
WordPress, Google Tag Manager, Zendesk, Elementor, HubSpot Analytics, Leadfeeder, Site Kit, Linkedin Insight Tag, Google Analytics, Contentsquare, RankMath SEO, Tippy.js, Swiper, Goober, LazySizes, jQuery UI, jQuery Migrate, core-js, jQuery, HSTS, Amazon Web Services, Google Font API, Twitter Emoji (Twemoji), Amazon Web Services, Contentsquare, Popper, RSS, PWA, Open Graph, HTTP/3, HubSpot WordPress plugin, ElementsKit, RankMath SEO, EWWW Image Optimizer, Site Kit, LiteSpeed, PHP, Hostinger, Amazon S3, HubSpot,MySQL |
| Fatima Mendoza |
9 months ago |
State Status |
Public |
Growing |
| Fatima Mendoza |
9 months ago |
Phrase |
FalkorDB is the first queryable Property Graph database to use sparse matrices |
Queryable property graph database to use sparse matrices |
| Fatima Mendoza |
9 months ago |
Address |
|
Dover, Delaware, United States |
| Fatima Mendoza |
9 months ago |
Postal Code |
|
19901 |
| Fatima Mendoza |
9 months ago |
Problem Solving |
A super low latency Graph Database that delivers knowledge to GenAI |
A super low-latency graph database that delivers knowledge to GenAI |
| Fatima Mendoza |
9 months ago |
Why unique? |
A super fast Graph Database uses GraphBLAS under the hood for its sparse adjacency matrix graph representation. |
A super-fast graph database uses GraphBLAS under the hood for its sparse adjacency matrix graph representation. |
| Fatima Mendoza |
9 months ago |
Target Customer |
Developers, Data Engineers and Software Architects |
Developers, data engineers and software architects |
| Fatima Mendoza |
9 months ago |
Features |
|
- Text2SQL: Natural language to SQL on complex schemas
- Security Graph: Security graph for CNAPP, CSPM & CIEM
- GraphRAG: Advanced graph-based retrieval with 496x faster queries
- Agentic AI & Chatbots: Build intelligent agents with graph-powered reasoning
- Fraud Detection: Real-time pattern detection across transaction networks
- Graph Database: High-performance graph storage for complex relationships |
| Fatima Mendoza |
9 months ago |
Description |
FalkorDB is developing a novel graph database that revolutionizes the graph databases and AI industries. Our graph database is based on novel but proven linear algebra algorithms on sparse matrices that deliver unprecedented performance up to two orders of magnitude greater than the leading graph databases.
Our goal is to provide the missing piece in AI in general and LLM in particular, reducing hallucinations and enhancing accuracy and reliability. We accomplish this by providing a fast and interactive knowledge graph which provides a superior solution to the common solutions today |
FalkorDB is developing a novel graph database that transforms the graph database and AI industries. Our system is based on new but proven linear algebra algorithms for sparse matrices that deliver unprecedented performance, up to two orders of magnitude faster than leading graph databases. Our goal is to fill a crucial gap in AI generally and LLMs specifically by reducing hallucinations and improving accuracy and reliability. We achieve this by providing a fast, interactive knowledge graph that offers a superior alternative to current solutions |
| Fatima Mendoza |
9 months ago |
Facebook |
|
falkordb |
| Fatima Mendoza |
9 months ago |
Video URL |
|
https://www.youtube.com/watch?v=z0XO4pb2t5Y |
| Fatima Mendoza |
9 months ago |
Contact Phone |
|
0000000000 |
| Fatima Mendoza |
9 months ago |
Tags |
|
- Database
- AI
- Knowledge
- Artificial Intelligence
- Software
- Software As A Service
- SaaS
- Graphs
- Solutions
- SQL
|
| Fatima Mendoza |
9 months ago |
Screenshot |
 |
 |
| Fatima Mendoza |
9 months ago |
Logo |
 |
|
| Guy Korland |
9 months ago |
Competitors |
|
|
| Guy Korland |
9 months ago |
Logo |
 |
|
| Guy Korland |
9 months ago |
Benefits |
|
More accurate and personalized AI |
| Guy Korland |
9 months ago |
City |
|
Dover |
| Guy Korland |
9 months ago |
State Status |
Public Beta |
Public |
| Guy Korland |
9 months ago |
Tags |
|
|
| Guy Korland |
9 months ago |
Contact E-mail |
|
[email protected] |
| Guy Korland |
9 months ago |
Video Channel URL |
|
https://www.youtube.com/@FalkorDB |
| Guy Korland |
9 months ago |
Problem Solving |
|
A super low latency Graph Database that delivers knowledge to GenAI |
| Guy Korland |
9 months ago |
Why unique? |
|
A super fast Graph Database uses GraphBLAS under the hood for its sparse adjacency matrix graph representation. |
| Guy Korland |
9 months ago |
Target Customer |
|
Developers, Data Engineers and Software Architects |
| Guy Korland |
9 months ago |
Description |
|
FalkorDB is developing a novel graph database that revolutionizes the graph databases and AI industries. Our graph database is based on novel but proven linear algebra algorithms on sparse matrices that deliver unprecedented performance up to two orders of magnitude greater than the leading graph databases.
Our goal is to provide the missing piece in AI in general and LLM in particular, reducing hallucinations and enhancing accuracy and reliability. We accomplish this by providing a fast and interactive knowledge graph which provides a superior solution to the common solutions today |
| Guy Korland |
9 months ago |
Date Founded |
|
2023-07-31 |
| Guy Korland |
9 months ago |
URL |
|
www.falkordb.com |
| Guy Korland |
9 months ago |
Screenshot |
|
|
| Guy Korland |
9 months ago |
Logo |
|
|
| Guy Korland |
9 months ago |
Product Hunt |
|
https://www.producthunt.com/products/falkordb |
| Guy Korland |
9 months ago |
LinkedIn |
|
falkordb |
| Guy Korland |
9 months ago |
Twitter |
|
falkordb |
| Guy Korland |
9 months ago |
Blog URL |
|
https://www.falkordb.com/blog/ |
| Guy Korland |
9 months ago |
CrunchBase |
|
falkordb |
| Guy Korland |
9 months ago |
State |
|
Delaware |
| Guy Korland |
9 months ago |
Type |
|
Startup |
| Guy Korland |
9 months ago |
Business Type |
|
B2B (Business to Business) |
| Guy Korland |
9 months ago |
Business Model Type |
|
Subscriptions |
| Guy Korland |
9 months ago |
Industry |
|
Software, Internet & Computer Services |
| Guy Korland |
9 months ago |
State Status |
|
Public Beta |
| Guy Korland |
9 months ago |
Employees Number |
|
1 - 5 |
| Guy Korland |
9 months ago |
Name |
|
FalkorDB |
| Guy Korland |
9 months ago |
Legal Name |
|
FalkorDB Inc. |
| Guy Korland |
9 months ago |
Phrase |
|
FalkorDB is the first queryable Property Graph database to use sparse matrices |
| Guy Korland |
9 months ago |
Country |
|
United States |
