Graph database

A scalable graph database for real-time data

Massively scalable, high-performance graph database. Developer-ready with the lowest total cost of ownership.

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Highly scalable

Run OLTP graph queries in real-time and at any scale.

Easy to program

Express your business logic in a graph native query language.

Lowest TCO

Independently scale compute and storage for efficiency and flexibility.

Leading companies run graph solutions on Aerospike

The developer-ready, highly scalable graph database

Aerospike Graph was designed to meet and exceed the requirements of the most demanding large-scale property graph database workloads.

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Unlimited scale
To billions of vertices, each with 1000s of edges
High performance at scale
<5 milliseconds for multihop queries
Multi-model
Supporting graph, document, and key-value data models
Lowest TCO
Current offerings are just too expensive to become ubiquitous

Visualize Aerospike Graph database

Our partner, gdotv, provides a feature-rich Gremlin IDE and data visualization software.

View your Aerospike Graph data schema and navigate your graph interactively
Query and edit your data with ease using the many data-schema aware features and embedded Gremlin documentation
Visually analyze your high performance graph data with extended customization options

Try Aerospike Graph database free

Download Aerospike Graph

Get G.V() free for 60 days with Aerospike Graph

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Graph database architected for extreme scale and efficiency

Aerospike Graph features a unique architecture that enables data teams to scale compute and storage independently, preventing over-provisioning and over-spending on either resource.

View the demo

Graph database architected for extreme scale and efficiency

Aerospike Graph features a unique architecture that enables data teams to scale compute and storage independently, preventing over-provisioning and over-spending on either resource.

View demo

Graph architecture

Developer-ready graph database

Developers turn graph ideas into reality by loading graph data, running interactive graph CRUD queries, or writing Java/Python clients. View the documentation for each as well as the Gremlin tutorial.