Neo4j Graph Database logo

Neo4j Graph Database

by Neo4j · Since 2007
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Active1+ countriesCloudOn-premiseFree tier
Quick facts
VendorNeo4j
Year launched2007
StatusActive
Location400 Concar Dr San Mateo, California 94402, US
Countries served1+
Languages6
IntegrationsN/A
Free tierYES
Free trialN/A
Contact salesYES

About Neo4j Graph Database

Neo4j Graph Database is a graph database software from Neo4j that provides efficient data management and retrieval. It combines fully managed graph database services, self-managed deployment options, and graph analytics capabilities so users can use the power of graph data structures. This database supports high-performance transactional and analytical queries, enabling organizations to gain insights quickly. It is designed for unprecedented horizontal scaling, accommodating growing datasets with ease. Key capabilities: Neo4j AuraDB Neo4j Graph Database Neo4j Aura Graph Analytics graph analytics high-performance querying Best for: data engineers and analysts that need to manage complex data relationships and perform advanced analytics.

Neo4j Graph Database is a powerful and scalable graph database solution designed for managing highly connected data efficiently. Its high performance allows complex queries, especially multi-hop traversals, to execute hundreds of times faster than traditional relational databases. The platform supports both on-premises and cloud deployments across AWS, Google Cloud, Azure, and hybrid environments, ensuring flexibility in architecture. Users benefit from an intuitive user interface, including Neo4j Browser and Bloom, which provides visual graph exploration and management. Key features include real-time transaction processing, robust security with role-based access control, schema-based security, and cloud-native scaling. The Cypher query language simplifies working with graph data, while advanced analytics features like parallel runtime and multi-hop querying enhance data insights. Neo4j’s fully managed AuraDB service offers a zero-operations environment for quick setup and seamless scalability, making it suitable for diverse enterprise needs. Moreover, extensive integrations with Kafka, cloud data warehouses, and BI tools enable comprehensive data ecosystems. Customers have access to rich training resources through Neo4j GraphAcademy, webinars, and detailed documentation.

Pros & Cons

Pros
  • Excellent for handling complex relationships and parent-child structures
  • Improves search and query performance in graph-based data models
  • Hybrid structure compatibility with RDBMS for performance tuning
  • Useful beyond business—applies well in data science and research
  • Strong community and developer support
  • Built-in data visualization capabilities
Cons
  • May require integration with RDBMS for optimal performance
  • Learning curve for users unfamiliar with graph databases
  • Limited usefulness for projects with minimal relational data
  • Can be overkill for simple or flat data structures

Features

Key features

1. High Performance

Executes deep and complex queries up to 1000x faster than relational databases, supporting swift insights from connected data.

2. Horizontal Scaling

Supports cloud-based scalable architecture, allowing the database to grow seamlessly with data needs via sharding and federation.

3. Security & Privacy

Offers detailed schema-based security, role-based access control, and data privacy features to meet enterprise compliance.

4. Cloud Compatibility

Fully compatible with cloud deployment on AWS, Azure, GCP, and via AuraDB, providing flexibility and ease of management.

5. Native Cypher Query Language

Simplifies working with graph data through an intuitive, SQL-like language optimized for traversing relationships.

6. Multi-Hop Queries

Capable of executing deep relationship traversals effortlessly, essential for complex network analysis.

7. Fully Managed Service

AuraDB provides zero-ops deployment, management, and scaling in the cloud without the need for infrastructure overhead.

Additional features

Real-Time Transaction Processing

Ensures instant data consistency for mission-critical applications.

Graph Visualization

Offers tools like Neo4j Bloom for intuitive graph visualization to explore data relationships visually.

Certified Security

Includes role-based access controls, schema security, and encryption features for enterprise protection.

Multi-Cloud Support

Operate on AWS, Azure, GCP, or in a hybrid environment, with easy migration and deployment.

Event-Driven Architecture

Supports Change Data Capture (CDC) for real-time data replication and integration.

Scalable Clustering

Features like autonomous clustering help horizontally scale the database with minimal manual effort.

Comprehensive APIs

Supports many programming languages for flexible application development.

Advanced Analytics

Utilizes Cypher and Parallel Runtime for complex analytics across large graphs.

Automation & Management

Neo4j Ops Manager simplifies deployment, monitoring, and management tasks.

Hybrid Deployment Flexibility

Supports both self-managed and fully managed cloud environments for diverse operational needs.

Pricing

Free trial
Free version
Request a quote
Promo Offer

Monthly plans

Auradb Professional
USD 65/mo
billed monthly
Auradb Business Critical
USD 146/mo
billed monthly

Countries & Languages

1
Countries served
6
Interface languages
9
Billing currencies

Available in

All Countries.

Interface languages

EnglishSpanishFrenchGermanJapaneseChinese

Billing currencies

🇺🇸USD🇪🇺EUR🇬🇧GBP🇯🇵JPY🇦🇺AUD🇨🇦CAD🇨🇳CNY🇮🇳INR🇷🇺RUB

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