A scalable graph database for real-time data
Massively scalable, high-performance graph database. Developer-ready with the lowest total cost of ownership.
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.
Graph data at scale
Graph databases provide new depth of understanding of your connected data. Now you can achieve the operational scale you need.
Turn graph ideas into reality
Aerospike Graph is built to operationalize your graph data with enterprise-grade performance, scale, and reliability—everything your graph projects need to succeed and grow. Scale to billions of vertices, each with 1000s of edges. Execute multihop queries in less than 5ms.
Key features of Aerospike Graph
Aerospike Graph is a graph database with enterprise-grade performance, scalability, and security.
Scale from gigabytes to petabytes
Native graph data model implemented on Aerospike’s distributed real-time database for low-latency access at virtually any scale
Optimized for Graph OLTP
Built for wider and deeper transactional (OLTP) graph queries with extreme throughput (>100K QPS) and sub-5ms latency for multihop queries
Compute and storage scaled independently
Scale compute and storage independently to ensure accurate and efficient resource utilization resulting for the best TCO
Powerful graph query language
Support for the Gremlin query language enables developers to easily and efficiently craft queries that reflect business language
Scale-out graph query engine
The Aerospike Graph Services compute engine is a distributed, scale-out implementation of the open-source Apache Tinkerpop framework
Bulk and streaming data loading
Quickly and efficiently loads large volumes of graph data using our bulk loader or Apache Spark
Graph database architected for extreme scale, efficiency, and reliability
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.
How Aerospike Graph is used
Graph databases have traditionally been a solution for building knowledge bases. Increasingly, organizations wish to deploy them for operational use cases where resilient, high-throughput, low-latency transaction processing is required. Aerospike Graph is designed to power these new use cases.
Read the latest
Learn about the latest releases, technical articles, and use cases.
- Blog
Demystifying native vs. multi-model graph database myths
Native and multi-model graph databases have advantages that cater to specific business needs. Learn to figure out which works best for you.
- White paper
A graph database designed for scalability
Aerospike Graph stands apart from the competition by scaling to trillions of edges with consistently low latency and industry-leading cost of ownership.
- Webinar
Cracking the code: Defeat signal loss in AdTech with graph databases
Signal loss can be detrimental to advertisers who need informative, quality data — see how graph databases can help make signal loss inconsequential.
Ready to get started?
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