Neo4j AuraDB: Fully Managed Graph Database

Mirror your data design like sketching on a whiteboard and adapt effortlessly to changing business needs. Store data and relationships natively with a flexible schema.

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Uncover Hidden Patterns

Reveal insights with Cypher queries and graph algorithms for your connected data.

Build Applications With Ease

Simplify development using a native graph model, flexible schema, and expressive Cypher.

Always-On, Zero Admin

99.95% uptime SLA, automated upgrades, patches, and maintenance.

Enterprise-Grade Security

Protect your data and ensure compliance with robust security features.

Neo4j AuraDB: A Smarter Way to Store and Connect Data

Traditional databases strip away valuable context and relationships. Neo4j AuraDB preserves these connections, storing data in nodes with relationships intact. This makes your data smarter, more contextual, and easier to work with. AuraDB evolves with your changing business needs, eliminating rigid schemas and painful JOINs.

Capabilities

Build Your Critical Applications With Confidence

Match Patterns in Data and Relationships

Find complex or recursive patterns without JOINs using expressive Cypher query language and graph algorithms.
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Visualize Data Patterns
Index-Free Adjacency
Analytical and Transactional Workloads
Enrich Predictions and Inferences

Native Graph Data Model

Eliminate the transition from data design to implementation. Use nodes, relationships, and properties to represent structured, semi-structured, and unstructured data naturally.
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Flexible Schema
Write Less Code With Cypher
Faster, Easier Development

99.95% Uptime SLA

High availability, reliability, and minimal downtime. Scale instances for data and compute needs, efficiently managing datasets and memory-intensive workloads.
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Zero Administration
Minimize Downtime and Data Loss
Multi-Cloud Freedom

End-to-End Encryption

Data is encrypted at rest with customer-managed keys. Network traffic, even within service infrastructure, is encrypted via Transport Layer Security (TLS).
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Fine-Grained Access Control
Network Security
Comply With Industry Regulations

Powerful Use Cases

Optimize your projects with the Graph Database as a foundation.

Generative AI

Artificial Intelligence (AI) is poised to drive the next wave of technological disruption across nearly every industry. Just like previous technology revolutions in web and mobile, however, there will be...

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Knowledge Graphs

Access deep, dynamic context by connecting your data in knowledge graphs. You can quickly design, implement, and evolve your knowledge graph with Neo4j.

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Fraud Detection & Analytics

Real-time analysis of data relationships is essential to uncovering fraud rings and other sophisticated scams before fraudsters and criminals cause lasting.

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Healthcare & Life Sciences

Pharmaceutical companies, chemical manufacturers and biotech companies are using Neo4j to analyze data in ways not previously not possible without graphs.

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Real-Time Recommendations

Graph-powered recommendation engines help companies personalize products, content and services by leveraging a multitude of connections in real time.

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Supply Chain Management

Graph technology is essential to optimize the flow of goods, uncover vulnerabilities and boost overall supply chain resilience. Discover how Transparency-One, Caterpillar and others use graph technology to ensure business...

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Explore All Use Cases

Loved by Devs. Deployed Worldwide.

1,700+ organizations build on Neo4j for data breakthroughs.

Data Insights & Results

“Neo4j AuraDB aligns well with Dun & Bradstreet’s cloud strategy and helps us to deliver the deep knowledge our clients need to take intelligent actions based on timely compliance decisions.”

Matthew Voss, Identity Insights Leader

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“Neo4j AuraDB helps us visualize our data and the opportunities in one place, so we can focus our efforts on streamlining our service delivery and operations.”

Luke Slowen, Enterprise Architect

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“The schema flexibility and analytical capabilities of Neo4j allow us to see relationships between manufacturing batches that simply would not be possible with other tools.”

Eric Wespi, Data Scientist

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“Our developer team is able to calculate the risk score of every asset, defined as any piece of software, server, services, website, source code, and more, in just four minutes. These are complex traversals ... we’re able to do them extremely quickly.”

Zach Probst, Staff Software Engineer

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"We’re excited by Neo4j’s latest enhancements to their graph database solutions, all of which have the potential to take our data and processing and analytics to the next level and achieve unprecedented levels of insight and decision-making.”

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AuraDB Free

$0

Learn and Explore Graphs

AuraDB Professional

$65

/GB/month
(minimum 1GB cluster)

Build Production-Ready Apps

AuraDB Business Critical

$146

/GB/month
(minimum 2GB cluster)

Scale Apps for Enterprise Use

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AuraDB Virtual Dedicated Cloud

Deploy applications, using all capabilities of AuraDB Business Critical, but in a dedicated environment

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Learn More About Pricing

Deploy on a Cloud Provider
of Your Choice

Develop. Deploy. Deliver.

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Tools and Tips to Build Intelligent Apps

Get started graphing with AuraDB.

AuraDB Product Brief

Overview of AuraDB’s graph database features, benefits, and practical use cases.

Aura Security Whitepaper

Deep dive into security features, access controls, encryption, and data protection with Neo4j Aura.

AuraDB Datasheet

Snapshot of AuraDB's graph database features, benefits, and key use cases.

Aura Documentation

Guides for data modeling, data management, querying, security, drivers, visualization, and integration.

Fundamentals of Property Graphs

Learn the basics and how to evolve your graphs.

Fundamentals of Writing Cypher

Learn to write our query graph language.

Graph Data Modeling Fundamentals

Learn how to design a Neo4j graph using best practices.

Intro to Neo4j Graph Data Science

Gain a high-level, technical understanding.

What's New In AuraDB

Explore new AuraDB enhancements for easier enterprise graph deployment.

Securely Access AWS in a Private Cloud

Get better control over data and data security.

Combine Structured and Semantic Search

Learn how to use them together to create better context.

What is a Knowledge Graph?

Learn to organize and integrate complex data for effective analysis and decision-making.

Assess the State of Your Neo4j App

Set goals, evaluate use cases, and judge your readiness.

ROI with Property Graphs

Discover how the property graph model enhances analytics and app development.

Use Knowledge Graphs to Implement RAG

Enhance the accuracy and relevance of AI-generated responses.

Training Series:
Graph Database Intro

Learn about core concepts, such as nodes, relationships, and properties.

Training Series:
Enhance Geospatial Analytics With Graphs

Work with Apache Sedona, Spatial SQL, and GeoPandas for various data types.

Going Meta:
Migrate From Triple Store to Property Graph

See step by step how to make the migration easy.

Road to NODES:
How to Graph Relational Database Models

Learn how to get your app up and running.

Neo4j Live:
Querying and Data Importing

Learn about upgraded graph visualization, quick search capabilities, and other new features.

Neo4j:AuraDB Overview and Best Practices

Build smarter apps using connected data and graphs without JOINs.

Neo4j: Build Powerful Fraud Detection Apps

Uncover difficult-to-detect hidden patterns in your data to fight fraud.

Neo4j: Optimize Supply Chain With Knowledge Graphs

Improve visibility, increase agility, and build a more resilient network.

Neo4j: Trends in Graph and Analytics

Learn to handle the rise of GenAI, unstructured, and semi-structured data with knowledge graphs.

AuraDB Frequently Asked Questions

How does AuraDB differ from traditional relational databases?

AuraDB is a purpose-built, high-performance native graph database engine that stores and navigates relationships between data elements directly. Relational databases, use JOINs to access related data. In contrast, AuraDB handles relationships natively using pointers, eliminating the associated performance costs. Learn more

AuraDB also supports ACID transactional properties, ensuring that all data changes are consistent and reliable. This guarantees data integrity even in multi-user, highly concurrent environments.

This robust architecture enables Neo4j customers to build reliable transactional and analytical apps with confidence in their data’s consistency and integrity. Learn more about Neo4j AuraDB's database internals.
What programming languages and drivers does AuraDB support?

AuraDB empowers developers with high query performance, a flexible data model, and broad language support, making migration easy. AuraDB supports a wide range of programming languages, with official drivers for .NET, Java, JavaScript, Go, and Python.

Additionally, community contributors provide drivers for many other languages, including PHP, Ruby, R, Erlang, Clojure, C/C++, and more. Learn more about available drivers.
What security and regulatory certification standards does Neo4j Aura meet?
What migration and interoperability tools does Neo4j provide?

Neo4j supports various approaches for migration and interoperability. It offers standard APIs like GraphQL, which work across different database models. Neo4j also supports the ISO standard graph query language GQL, with mature implementations like Cypher and OpenCypher, and provides a plugin for Apache Gremlin.

Neo4j includes Sql2Cypher, a tool that converts SQL to Cypher, often simplifying and improving query readability for those migrating from SQL. Additionally, Neo4j provides SQL access through BI connectors.
How does Neo4j help developers optimize query performance?

Neo4j’s “EXPLAIN and PROFILE” options in the Cypher query language help architects and developers identify where indexes can improve query performance. Neo4j doesn’t need JOINs to access related/connected data. This means Neo4j doesn’t need JOIN indexes, materialized views, or other components that relational databases use to work around the fact that they don’t store relationships directly.

In short, Neo4j uses indexes as a way to find the Node(s) (entities or discrete objects of a domain) that are the starting point for a graph query. It doesn’t need additional indexes, materialized views, or other components to speed up queries of related data.
What data integration and quality tools are available in Neo4j AuraDB?
AuraDB has multiple data integration and data quality tools built into the database, including:
- Cypher query language and Graph Data Science algorithm for data transformation, aggregation, preparation, and feature generation.
- Python client for direct integration with Pandas data frames, enabling data scientists to leverage Python libraries for data preparation and transformation.
- APOC library with stored procedures for data aggregation, formatting, cleaning, and engineering.
- Connectors (Spark, Kafka, Data Warehouse) for data movement and transformation.
- Data Importer for no-code graph data modeling and loading.