Neo4j Graph Database
High-speed graph database with unbounded
scale, security, and data integrity for
mission-critical intelligent applications.
The Fastest Path
to Graph
Battle tested for performance, Neo4j Graph Database is the only graph database that is trusted by enterprises for its speed, security, and scalability to support the most challenging transactional and analytical workloads.
With Neo4j Graph Database, you can choose from multiple cloud options – self-hosted, hybrid, multi-cloud, or our fully managed cloud service, Neo4j AuraDB.
What is Neo4j Graph Database? Find out in two minutes.
Easy Horizontal Scaling
Neo4j offers a cloud-ready architecture that scales with your data needs and minimizes infrastructure costs while maximizing performance across connected datasets. Autonomous Clustering lets you horizontally scale out your data while taking advantage of infrastructure elasticity, with less manual effort. You can also scale out very large graphs across multiple databases while maintaining query simplicity and performance.
High-performance transactional and analytical queries in one database
Answer complex business questions with deep insights from connected data, delivered in real-time.
The property graph data model enables queries to run 1000x faster than relational databases. Multi-hop queries execute fluidly with optimized query planning, unlike relational databases which require slow, expensive join operations.
Cypher Parallel Runtime enables highly optimized execution of analytical queries across large portions of the graph. Analyses are completed faster by running graph-global queries in parallel within the database.
Enterprise-Grade Trust
Neo4j Graph Database provides robust transactional guarantee and unmatched reliability – even across billions of nodes and trillions of relationships. It enforces rigorous security rules more granularly than relational databases, while remaining easy to deploy and manage.
Learn more about Neo4j security
Schema-Based Security
Schema-based security makes it easy to enforce a deeper level of protection, whether you have multiple self-managed graph databases or very large graph's shards in multiple cloud repositories around the world.
Role-Based Access Control
Neo4j offers granular security down to individual objects and their properties. Role-based access control helps restrict access at any level of granularity, simplifying the task of assigning permissions downstream.
Data Privacy
Neo4j embeds security and privacy measures into its database, making it easier for organizations to adhere to privacy and security regulations, and freeing developers from having to worry about backend security.
Designed for the Cloud
Neo4j Graph Database runs in a variety of cloud environments, offering an automated way to manage scaled out copies just like any modern applications in the cloud. AuraDB is our fully managed service that provides a zero-ops environment so you can get started quickly. Take a test drive by signing up for our free version.
Run Anywhere
Neo4j runs on-premises and natively on any public cloud, including GCP, AWS, and Microsoft Azure.
Continuous Release Support
Product updates are released on a regular basis across all of our graph database products.
Centralized Administration
Use Neo4j Ops Manager to easily administer and monitor all Neo4j deployments from one location.
Built For Developers
Neo4j makes it easy for developers to build applications by using industry best practices, common languages, and intuitive tools. Our flexible data model helps developers meet constantly changing business requirements and agile development practices.
Our many tools help developers intuitively model their graph, prototype applications, test Cypher queries, and graphically visualize data sets. We also support native drivers for popular programming languages, and the Neo4j GraphQL Library simplifies rapid API development for cross-platform and mobile application development.
Seamlessly Plugs into Your Data Ecosystem
With a growing number of connectors, Neo4j makes it easy to interoperate with other data platforms and applications to easily fit into your existing ecosystem.
Change Data Capture
Using log-based CDC, Neo4j can rapidly detect all data changes and replicate them to other systems. This enables:
- Event-driven decision making with real-time graph data
- Auditing and ensuring data quality
- Moving data without disrupting operations
Connectors for Confluent and Apache Kafka
Plug into Confluent Cloud or Apache Kafka to stream data into Neo4j. Combined with CDC, stream data changes to downstream applications.
Offline Importer
Loads your initial bulk dataset and keeps it in sync incrementally afterwards.
Data Warehouse Connector
Provides a headstart for extracting and loading data to Neo4j from popular cloud data warehouses and vice versa.
Connector for Business Intelligence
Provides connectivity between Neo4j and popular BI tools
Case Studies
Learn how our clients solve their toughest data challenges with graph technology.
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“At albelli, we regularly deal with petabytes of data. The ability to horizontally scale with the new sharding and federation features, alongside Neo4j's optimal scale-out architecture, will enable us to grow our graph database without barriers.”
Josh Marcus, Chief Technology Officer
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Bet365's Risk Management Team quickly concluded that the technology would comfortably provide the scalability demanded by its applications for the foreseeable future. “Our graph is over 1.5 terabytes yet it is still extremely fast.”
Richard Burton,
Head of Management Information Systems
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"Getting a competitive price for a plane journey involves a large amount of complex data processing. Every day, if you add up all the various markets, flights, seats, and in-flight options, it's over 100 billion product permutations. It's performant, scalable, and we expect it to continue to help us expose and build new airline data products and services.”
Navid Abbassi, Chief Architect
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“NASA has over 50 years of data, dating back to the Apollo and Gemini eras. Based on what I have seen, billions of nodes and relationships will not be an issue with Neo4j.”
David Meza, NASA
