Neo4j

neo4j.com · San Mateo, United States of America

Neo4j develops and commercializes a native graph database platform used to model and analyze connected data for use cases such as fraud detection, recommendation engines, knowledge graphs, and network analysis. The company offers an open-source and enterprise graph database, cloud-hosted services, and related tools and support to enterprises, software vendors, and developers. Revenue is generated through subscriptions, cloud consumption, and professional services.

  • Database & Data Storage
  • MLOps & ML Platforms
Revenue
$120.0M
Employees
700
Founded
2007
Headquarters
San Mateo, United States of America

What 75 Arbolus experts think of Neo4j

NPS scores are highly positive, with most responses ranging from 8–10. Renewal intent is strong among high spenders and in core use cases, particularly fraud detection and knowledge graphs. 70%+ of respondents are in advanced adoption phases (MoreThan1Year). Main qualitative themes highlight robust relationship modeling, fast query performance, and steep licensing costs as common points, with some concerns around horizontal scaling and learning curve. Overall Customer Sentiment: Positive

Who reviewed Neo4j

Total customers 75 72 current · 3 former
Reviews growth +68 in six months
Seniority of respondents
  • C-Suite 60% (45)
  • Director 21% (16)
  • Manager 19% (14)
Strategy Partner Manager NPS 9
Not specified C-Suite NPS 8 Will renew
Data Leader C-Suite NPS 8 Will renew

Employer names and spend open in the full report, along with the other 72 customers.

Everything 75 customers told us about Neo4j.

Employer names, spend, renewal intent and every written answer behind the numbers on this page.

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Sentiment

52 Net Promoter Score, from 75 scored reviews
  • Promoters 41
  • Passives 32
  • Detractors 2

Cumulative NPS by month

+0 over 6 months
  • May 9
  • Jun 8
  • Jul 9
  • Aug 9
  • Sep 9
  • Oct 9

Net Promoter Score across 4 reviews, accumulated up to each month. Category median 52 across 4 companies.

Praised

  • Natural Relationship Modeling
  • Best-in-Class for Highly Connected Data
  • Graph Data Science and Ecosystem
  • Integrating AI and GraphRAG

Criticised

  • Rising Cost at Scale
  • Scaling and Operational Burden
  • Learning Curve and Team Adoption
  • Vendor Ecosystem Tilt

What customers say

Natural Relationship Modeling
“It models relationships far more naturally than a relational database, which makes spotting non-obvious patterns, like coordinated fraud across seemingly unrelated accounts, genuinely easier.”
Best-in-Class for Highly Connected Data
“If someone is in the same highly regulated industry with similar regulatory mandates for operational controls that are only possible by establishing graph oriented data structure I would suggest Neo4J as all around best in class GraphDB when all characteristics are taken together.”
Graph Data Science and Ecosystem
“Cypher is intuitive and productive, the Graph Data Science library delivers genuine analytical value, AuraDB removes operational burden, and docs and community are excellent.”

Renewal intent

Plan to renew 76%
  • Will renew 28
  • Undecided 8
  • Not renewing 1

Plan to renew, by seniority

  • C-Suite 76% 21 answers
  • Director 73% 11 answers
  • Manager 80% 5 answers
  • 8.5/10 Average score from customers who will renew
  • 8/10 Average score from undecided customers
  • 9/10 Average score from customers not renewing

Top alternatives

Most weighed by Neo4j customers

Report

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