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.

Graph data at scale

Graph databases provide new depth of understanding of your connected data. Now you can achieve the operational scale you need.

Billions

of vertices and edges

<5ms

response for multihop queries

>100K

QPS high-throughput workloads

Developers

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.

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Query

Run graph CRUD queries with the Gremlin Console, an interactive command-line terminal for sending queries and receiving responses.

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Code

Code a client application in Python and Java. Developers can run Aerospike Graph on a Jupyter notebook.

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Bulk data loading

Get a fast start creating graphs with efficient bulk loading of data right from the Gremlin Console or parallelized with Apache Spark for very large datasets.

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Key features of Aerospike Graph

Aerospike Graph is a graph database with enterprise-grade performance, scalability, and security.

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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.

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Use cases

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.