AI TOOL PROFILE
Neo4j Aura: Fully Managed Graph Database Service
- Data and Analytics
- Database
- 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.
At a glance
- Best for
- Software Companies, Enterprise Companies, Mid-Market Companies, Developers building AI applications, Data scientists
- 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
- Official website
- Visit Neo4j Aura official website
How AI is used
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.
Integrations
- AWS
- Microsoft Azure
- Google Cloud
- Snowflake
- Microsoft Fabric
- GraphQL
- Spark
- Kafka
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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