Open-Source Databases · neo4j

neo4j

Neo4j is an open-source graph database designed for storing and querying interconnected data using nodes and relationships instead of traditional tables. It offers ACID transactions, a query language called Cypher, and both a free community edition (GPLv3) and a commercial enterprise edition. Available as a managed cloud service (Neo4j Aura) or self-hosted deployment.

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Source: GitHub — github.com/neo4j/neo4j

16.9k

GitHub stars

2.7k

Forks

Java

Primary language

GPL-3.0

License (OSI-approved)

Key facts

Objective fields from the source. Values we can't verify are shown as “Unknown” rather than guessed.

Field	Value
Repository	neo4j/neo4j
Owner	neo4j
Primary language	Java
License	GPL-3.0 — OSI-approved
Stars	16.9k
Forks	2.7k
Open issues	196
Latest release	3.2.0-alpha08 (2017-04-11)
Last updated	2026-07-08
Source	https://github.com/neo4j/neo4j

What neo4j is

Neo4j is a Java-based graph database engine supporting ACID compliance, Cypher query language, and flexible network-structured data models. The Community Edition (GPLv3) includes core database functionality; Enterprise Edition adds proprietary components and requires commercial licensing. Build infrastructure uses Maven 3.8.2, requires OpenJDK 17+, and supports both containerized and standalone deployments.

Quickstart

Get the neo4j source

Clone the repository and explore it locally.

terminalbash

1git clone https://github.com/neo4j/neo4j.git2cd neo4j3# follow the project's README for install & configuration

Need it deployed, integrated, or customized instead? DEV.co ships production installs.

Best use cases

Knowledge Graphs and Recommendation Engines

Efficiently model and traverse highly interconnected data (users, products, attributes) to deliver personalized recommendations with sub-millisecond query latency compared to relational joins.

Identity and Access Management (IAM)

Store complex hierarchical organizational structures, role hierarchies, and permission chains; perform transitive closure queries (e.g., 'who can access this resource?') orders of magnitude faster than relational designs.

Fraud Detection and Network Analysis

Identify suspicious patterns in transaction networks, entity relationships, and behavioral graphs using pattern-matching queries without expensive multi-table joins.

Implementation considerations

Minimum 40K open file descriptor limit required (ulimit -n); verify before production deployment to prevent runtime failures.
Cypher query optimization and index strategy are critical for performance; poorly written queries can degrade significantly on large graphs; consider professional training or consulting for complex schemas.
JVM memory tuning (MAVEN_OPTS, heap settings) is non-trivial; production deployments require careful profiling and sizing based on graph size and query patterns.
Cluster deployment adds operational complexity (split-brain, failover, replication); evaluate whether managed Aura aligns with cost and data residency constraints.
Backup and restore procedures must be tested and documented; recovery time objectives (RTO) and recovery point objectives (RPO) should inform deployment strategy.

When to avoid it — and what to weigh

Primarily Structured Tabular Data — If your schema is predominantly relational with few cross-table references, a traditional RDBMS (PostgreSQL, MySQL) will be simpler to operate and integrate with existing tools.
Strict GPL Compliance Concerns — Community Edition is GPLv3-licensed. If your commercial product or internal deployment requires non-GPL licensing, you must license Enterprise Edition—evaluate commercial terms and cost before commitment.
Real-Time Streaming Analytics at Scale — Neo4j is optimized for OLTP graph queries, not high-throughput event streaming; consider Kafka, Flink, or specialized time-series databases if your primary workload is streaming aggregation.
Minimal Operational Overhead Requirements — Neo4j deployment, tuning (JVM heap, file handles, cache sizing), and cluster management require specialized operational knowledge; managed Aura service reduces burden but at cost and vendor lock-in.

License & commercial use

Neo4j Community Edition is licensed under GPLv3 (GNU General Public License v3.0). GPLv3 is a copyleft license requiring that any modifications or derivative works distributed also be licensed under GPLv3. Neo4j Enterprise Edition is proprietary and not available in this repository; it requires a separate commercial license agreement.

Community Edition (GPLv3) permits commercial use of the unmodified software, but any distributed modifications must be GPLv3-licensed. If you modify the source code and distribute it, you must open-source those changes. For closed-source derivative products or proprietary deployments with modifications, a commercial Enterprise Edition license is required. Consult Neo4j licensing terms and consider legal review before committing to production commercial deployments; GPLv3 obligations are significant for proprietary codebases.

DEV.co evaluation signals

Editorial assessment — not user reviews. Directional, with an explicit confidence level.

Signal	Assessment
Maintenance	Active
Documentation	Adequate
License clarity	Clear
Deployment complexity	High
DEV.co fit	Good
Assessment confidence	High

Security considerations

No explicit security audit, vulnerability disclosure process, or threat model is documented in the provided data. GPLv3 Community Edition is open-source and subject to community scrutiny, which can be a security benefit but does not guarantee timely patching. Enterprise Edition may include proprietary security features (encryption, authentication plugins) not available in Community. Deployment considerations: JVM security patches, network isolation, authentication (Cypher supports credentials), and TLS configuration are operator-dependent. Evaluate threat model, data sensitivity, and compliance requirements (GDPR, HIPAA, SOC 2) before production use; no claims about certifications are stated.

Alternatives to consider

Amazon Neptune

Fully managed graph database (AWS-native); supports both property graphs and RDF; eliminates self-managed operational overhead but introduces AWS vendor lock-in and different pricing model.

TigerGraph

Commercial graph DBMS with superior streaming and real-time analytics capabilities; stronger native Kubernetes support and cloud-native architecture; requires commercial license; better for high-throughput use cases.

JanusGraph

Open-source (Apache 2.0) graph database supporting multiple backends (Cassandra, HBase, DynamoDB); no proprietary enterprise edition; lighter operational footprint but weaker query optimization and maturity than Neo4j.

Software development agency

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neo4j FAQ

Can I use Neo4j Community Edition commercially?

Yes, unmodified Community Edition (GPLv3) can be deployed commercially. However, if you modify the source code and distribute it, you must open-source those modifications under GPLv3. For proprietary derivative products, Enterprise Edition licensing is required. Consult legal counsel before production deployment.

What is the difference between Community and Enterprise editions?

Community Edition (this repository, GPLv3) includes core graph database, Cypher, ACID transactions, and basic clustering. Enterprise Edition adds proprietary closed-source components and requires a commercial license from Neo4j. The README does not detail Enterprise-exclusive features; review neo4j.com product pages for specifics.

How do I deploy Neo4j in production?

Three options: (1) self-managed on VMs/K8s (requires JVM tuning, system configuration, backup/restore procedures), (2) Neo4j Aura managed cloud service (fastest, least ops overhead, vendor lock-in), (3) hybrid (self-managed with professional support from Neo4j). Build requires Maven 3.8.2, OpenJDK 17+, and 40K+ open file descriptors.

Is Neo4j actively maintained?

Repository shows recent activity (last push July 2026), 14+ years continuous history, and active community. However, latest GitHub release (3.2.0-alpha08, April 2017) is outdated; verify actual production release cadence on neo4j.com, as packaging and versions may be managed separately.

Work with a software development agency

DEV.co is a software development agency delivering custom software development services to companies building on open source. Our software developers and web developers design, integrate, and ship production systems — spanning web development, APIs, AI, data, and cloud. If neo4j is part of your open-source databases roadmap, our team can implement, customize, migrate, and maintain it.

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