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Neo4j Aura: Fully Managed Graph Database Service

Neo4j Aura helps software companies and enterprises manage complex data relationships. It is designed for teams building knowledge graphs for AI systems or implementing fraud detection.

At a glance

Best for
Software Companies, Enterprise Companies, Mid-Market Companies, Developers building AI applications, Data scientists
Pricing
Pricing is based on a capacity model starting with a free tier. Paid options include AuraDB Professional starting at $65 per GB/month and AuraDB Business Critical starting at $146 per GB/month.
Key use cases
Knowledge Graphs for AI, Fraud Detection, Recommendations, Supply Chain Management, Identity and Access Management
Integrations
AWS, Microsoft Azure, Google Cloud, Snowflake, Microsoft Fabric
Visit Neo4j AuraNeo4j Aura software interface screenshot

Neo4j Aura is a managed graph database service designed to store and navigate relationships between data elements directly. Unlike traditional relational databases that rely on JOINs, Aura uses a native graph model with index-free adjacency to support traversals of connected data.

The service is intended for developers, data scientists, and organizations that need to uncover patterns or build reasoning AI systems. It supports cloud-based access via AWS, Azure, and Google Cloud, and provides official drivers for several programming languages.

Buyers should confirm their specific availability and security requirements, as features such as role-based access control and a 99.95% uptime SLA are available in the Business Critical and Virtual Dedicated Cloud plans.

Key Features

  • Native Graph Data Model

    Stores data as nodes and relationships with a flexible schema, which may help users add new entities without rebuilding the database.

  • Cypher Query Language

    A graph-specific query language used to find complex or recursive patterns in data without using JOINs.

  • Index-Free Adjacency

    Navigates the graph without index lookups, intended to keep processing time proportional to the size of the data traversed.

  • Multi-Cloud Deployment

    Supports deployment across AWS, Microsoft Azure, and Google Cloud in over 60 global regions.

  • ACID Transactional Properties

    Designed to ensure that data changes remain consistent and reliable in multi-user, concurrent environments.

  • Integrated Visualization

    Includes tools such as Neo4j Bloom and dashboards in the Aura console for exploring data connections.

Use Cases

  • Knowledge Graphs for AI

    Connecting data to provide context for Large Language Models (LLMs) and supporting GraphRAG workflows.

  • Fraud Detection

    Analysis of data relationships in real time to help identify fraud rings and scams.

  • Recommendations

    Personalizing products and services by leveraging connections based on purchase history or similar customer profiles in real time.

  • Supply Chain Management

    Mapping the flow of goods to help uncover vulnerabilities and support overall resilience.

  • Identity and Access Management

    Tracking users, assets, and authorizations to manage system access.

Best For

  • Software Companies
  • Enterprise Companies
  • Mid-Market Companies
  • Developers building AI applications
  • Data scientists

Integrations

  • AWS
  • Microsoft Azure
  • Google Cloud
  • Snowflake
  • Microsoft Fabric
  • GraphQL
  • Spark
  • Kafka

Pricing

Pricing is based on a capacity model starting with a free tier. Paid options include AuraDB Professional starting at $65 per GB/month and AuraDB Business Critical starting at $146 per GB/month.

FAQ

How does Neo4j Aura differ from a relational database?

Aura is a native graph database that stores relationships directly as pointers, whereas relational databases use JOINs to connect data.

What are the pricing options for Neo4j Aura?

There is a free tier for learning, a Professional tier starting at $65/GB per month, and a Business Critical tier starting at $146/GB per month.

Which cloud providers support Neo4j Aura?

Neo4j Aura is available on Amazon Web Services (AWS), Microsoft Azure, and Google Cloud across more than 60 global regions.

Source category: Data & Analytics

Source subcategory: Database

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Software Type

How AI is used

Neo4j Aura is a managed graph database for teams that need to model complex relationships. It supports the creation of knowledge graphs for generative AI and fraud detection. Enterprise-grade SLAs and granular security controls are available on the Business Critical plan.

Pros & Cons

Pros

  • Handles highly connected data without the need for complex JOINs
  • Flexible schema may allow data evolution without modifying application code
  • Official drivers for Java, Python, JavaScript, Go, and .NET
  • Includes a free tier for learning and prototyping

Cons

  • Free and Professional plans do not include a service availability SLA
  • Role-based access control (RBAC) and SSO are restricted to Business Critical and higher tiers
  • Point-in-time recovery and hourly backups are limited to higher-tier plans