Neo4j is a company that provides a full graph stack, including native graph storage, data science, ML, analytics, and visualization with enterprise-grade security controls to scale transactional and analytical workloads without constraints. They also offer graph data science tools to increase ML model accuracy and drive contextual AI by analyzing relationships in connected data. Neo4j's powerful query language, Cypher, simplifies data analysis with 10x less code than SQL.

Emil Eifrem

Johan Svensson

Peter Neubauer

Neo4j

BangDB provides a multimodal database designed for modern applications that require real-time data processing, graph structuring, and AI integration. It aims to consolidate various data types in a single platform to enhance productivity and reduce operational costs.

BangDB

Queryella provides analysis of mobile apps for security vulnerabilities and data protection violations using AI-automated processes. The services aim to assist businesses and certification bodies in meeting data protection and IT security requirements.

Queryella

GraphConnect

Neo4j for Graph Data Science

openCypher

Neo4j Aura

Neo4j Brasil

Neo4j Latinoamérica

Neo4j Bloom

Neo4j, the Graph Database & Analytics leader, helps organizations find hidden relationships and patterns across billions of data connections deeply, easily, and quickly. Customers leverage the structure of their connected data to reveal new ways of solving their most pressing business problems, with Neo4j’s full graph stack and a vibrant community of developers, data scientists and architects across hundreds of Fortune 500 companies. 

Attention! A new series of training tailored for YOU has arrived! 📢 

Register for one, two, or all :)

👉 Intro to Neo4j: https://bit.ly/4bXamtN
👉 Tame your Graph with Liquibase for Neo4j: https://bit.ly/3SZUM88 
👉 Mastering Neo4j Deployment for High-Performance RAG Applications: https://bit.ly/3T3XPw2
👉 Large-Scale Geospatial Analytics With Graphs And The PyData Ecosystem: https://bit.ly/4c6jgoI

Excel your #Graphdabase skills with these masters: Martin O'Hanlon, Florent Biville, Marouane Gazanayi, Daniel J. Bukowski, Alexander Gilmore, Alexander Fournier, and William Lyon.

Note: The workshops are 2 hours long. 

#Neo4j #Graphdatabase #RAG

Are you going to #MicrosoftFabric? Because we are! 🤩 

Meet our experts to learn how you can explore the full potential of your data, uncovering hidden relationships with #KnowledgeGraphs and #GenAI.

🔉 Make sure to attend our session: 'Bring the Power of the Neo4j Graph Database and Analytics to Microsoft Fabric' with Sudhir Hasbe and Guhan Sivaji from #Neo4j, and Keshava Sastry Pokkuluri, Principal Group PM Manager at #Microsoft.

See you!

https://bit.ly/3wRHyTe


#FabCon #msfabricconf24 #Graphdatabase #MicrosoftFabric Microsoft
Microsoft Fabric Community The Microsoft Fabric Community Conference Ben Lackey  Nathan Barney

WeAreDevelopers is celebrating #IWD with "Women In Tech Day," an online event with amazing presenters, and we are proud to say that Jennifer Reif, Developer Advocate at Neo4j, will be part of it!

Join and hear about her journey from an arts to a sciences career and how she navigated the challenges in that significant change. 

Empower yourself with tools and tips to pursue your goals.!

https://bit.ly/3V6DLeS

#WomeninTech #womeninSTEM #Neo4j 

Transport for London   (TfL) manages the tube and overground lines of London, and, as expected, that comes with very complex issues:

⚠️Serious cost to road congestion
⚠️Stress and inconvenience for road users, pedestrians, and residents.
⚠️Health and environmental impacts of the CO2 all the traffic.
 
Learn how they minimized those issues with Neo4j's digital twin: a virtual reproduction of a real-world process. 

https://bit.ly/3T34pmw

#Neo4j #DigitalTwin Aaron Holt

#tbt to this article by Tomaz Bratanic on how to customize #LangChain’s wrapper of Neo4j vector index.

"The newly added vector index implementation in #Neo4j allows it to support #RAG applications that rely on both structured and unstructured data, making it a perfect fit for highly complex and connected datasets."

👇 
https://bit.ly/48xvapi

LangChain #Neo4j #Langchain #vector 

Metric
Company Name	Neo4j	BangDB	Queryella
Symbol
MSH ID	COM:NEO4J	COM:BANGDB	DE:QUERYELLA
Market	PRIVATE	PRIVATE	PRIVATE
Sector	Technology	Technology	Technology
Industry	Database Management	Software Development	Information Technology & Services
Country	US	US	DE
Stage	Venture Round
Employee Count	854
Website	neo4j.com	bangdb.com	queryella.de
LinkedIn	neo4j		queryella
Founders

Metric
Market Cap
Enterprise Value
Monthly Web Traffic	560.13K
Web Traffic Growth	0.21
Valuation
Raised Capital	50M

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Revenue (LTM)
Revenue (NTM)
Gross Profit
EBITDA
Operating Income
Net Income
EPS
Diluted EPS
Revenue 2022
Revenue 2023
Revenue 2024
Revenue 2025
Revenue 2026

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Revenue Growth (NTM)
Gross Profit Growth (LTM)
EBITDA Growth (LTM)
Net Income Growth (LTM)
14-Day Growth Score
28-Day Growth Score
90-Day Growth Score
365-Day Growth Score

Metric
Gross Profit Margin
Operating Profit Margin
EBITDA Margin
Net Profit Margin
Return on Equity
Return on Assets
Return on Capital Employed

COM:NEO4J

Neo4j

Company Overview

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Valuation Multiples

Operational Metrics

Cash Flow Metrics

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Efficiency Metrics

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Revenue Multiple (NTM)
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EBITDA Multiple (NTM)
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EV Multiple

Metric
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Days Payables Outstanding
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Asset Turnover

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Operating Cash Flow/Sales
Free Cash Flow Yield

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Accounts Receivable
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Rule of 40 (NTM)
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R&D to Revenue
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