Neo4j is a high performance graph store with all the features expected of a mature and robust database, such as a friendly query language and ACID transactions.
The programmer works with a flexible network structure of nodes and relationships rather than static tables — yet enjoys all the benefits of enterprise-quality database. For many applications, Neo4j offers orders of magnitude performance benefits compared to relational DBs.
It’s available both as a standalone server, or an embeddable component.
This is free and open source software.
Key Features
- LPG. Labelled property graph model.
- Native graph processing and storage. Includes native graph storage and native graph processing engine (GPE).
- Standard and Aligned store format.
- ACID-compliant transaction. The database integrity is founded on atomicity, consistency, isolation and durability.
- Cypher graph query language which has a familiar SQL-like query syntax.
- Slotted< Cypher runtime.
- High-performance caching.
- Cost-based query optimizer.
- Clients and APIs:
- Cypher client.
- Neo4j browser with syntax highlighting.
- Bolt protocol.
- Language drivers for C#, Go, Java, JavaScript and Python.
- High-performance native API.
- APOC 450+ core procedures and functions.
- Indexes and constraints:
- Fast writes via native label indexes.
- Composite indexes.
- Full-text node & relationship indexes.
- Vector indexes.
- Data management:
- Offline import.
- Auto-reuse of space.
- Offline backup (dump).
Website: neo4j.com
Support: GitHub Code Repository
Developer: Neo4j, Inc.
License: GNU General Public License v3.0
Neo4j is written in Java and Scala. Learn Java with our recommended free books and free tutorials. Learn Scala with our recommended free books and free tutorials.
Related Software
| Graph Databases | |
|---|---|
| SurrealDB | Scalable, distributed, collaborative, document-graph database |
| EdgeDB | Graph-relational database with declarative schema |
| Dgraph | Distributed GraphQL database built for high-performance graph workloads |
| JanusGraph | Distributed graph database |
| ArangoDB | Scalable graph database system to drive value from connected data, faster |
| OrientDB | Document-graph database |
| AGE | PostgreSQL extension bringing graph database capabilities to SQL |
| TypeDB | Polymorphic database with a conceptual data model |
| Neo4j | Native graph database that is built to store and retrieve connected data |
| NebulaGraph | Graph database that can handle large volumes of data |
| HugeGraph | Highly scalable graph database designed for massive connected datasets |
| ArcadeDB | Multi-model database blending graph, document, and key-value data |
| Oxigraph | Lightweight RDF graph database implementing SPARQL and RDF standards |
| TerminusDB | Document-oriented graph database for building collaborative applications |
| Ladybug | Embedded graph database |
| Virtuoso | Middleware and database engine hybrid |
| Bitsy | Small, fast, embeddable, durable in-memory graph database |
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