FalkorDB Named HackerNoon “Startup of the Year 2024”

FalkorDB startup of the year 2024 hackernoon
Startups of The Year 2024 by HackerNoon

HackerNoon readers have voted FalkorDB the Startup of the Year 2024 for Tel Aviv. The open-source property-graph database outscored more than 14k Israeli ventures on community impact, technical progress, and real-world traction.

Over the past twelve months, the FalkorDB engineering team shipped sparse-matrix storage, AVX-powered query execution, and multi-tenant clustering—all while holding a sub-10 ms P99 on graphs with billions of relationships. Developers adopted these releases to drive fraud analytics, security posture mapping, and knowledge-graph retrieval pipelines without rewriting application logic.

“Query shape and tail-latency decide production fate,” said Guy Korland, CEO. “Our benchmark-first roadmap keeps that bar visible and forces every pull-request to move it.”

HackerNoon’s annual awards draw 400 k+ developer votes across 4,000 cities, rewarding projects that ship code, share knowledge, and earn peer trust. Previous regional winners include PostHog, Supabase, and Temporal.

Ultra-fast, multi-tenant graph database using sparse matrix representations and linear algebra, ideal for highly technical teams that handle complex data in real-time, resulting in fewer hallucinations and more accurate responses from LLMs.

USE CASES

SOLUTIONS

Simply ontology creation, knowledge graph creation, and agent orchestrator

Explainer

Explainer

Ultra-fast, multi-tenant graph database using sparse matrix representations and linear algebra, ideal for highly technical teams that handle complex data in real-time, resulting in fewer hallucinations and more accurate responses from LLMs.

COMPARE

Avi Tel-Or

CTO at Intel Ignite Tel-Aviv

I enjoy using FalkorDB in the GraphRAG solution I'm working on.

As a developer, using graphs also gives me better visibility into what the algorithm does, when it fails, and how it could be improved. Doing that with similarity scoring is much less intuitive.

Dec 2, 2024

Ultra-fast, multi-tenant graph database using sparse matrix representations and linear algebra, ideal for highly technical teams that handle complex data in real-time, resulting in fewer hallucinations and more accurate responses from LLMs.

RESOURCES

COMMUNITY