Neo4j AuraDS overview

AuraDS is the fully managed version of Neo4j Graph Data Science.

AuraDS instances:

  • are automatically upgraded and patched;

  • can be seamlessly scaled up or down;

  • can be paused to reduce costs.


AuraDS offers the AuraDS Professional and AuraDS Enterprise subscription plans.

Data Science Workspace
AuraDS Professional AuraDS Enterprise

Algorithms, embeddings, and ML models

Native Python client

Pregel API (algorithm authoring tool)

not available

not available


Use up to 20 CPUs

Use up to 82 CPUs

AuraDS Professional AuraDS Enterprise

Model catalog



Operationalize models with persistence

Share models with other users

Workload tracking transparency

AuraDS Professional AuraDS Enterprise

Instance Size

8-96 GB (RAM)

8-384 GB (RAM)

Automated updates and patches

Cloud tenancy



Read replica

not available

not available

Causal Cluster compatibility (Hybrid deployment)

not available

not available

Pay with committed spend from cloud provider



Tools, integrations and ecosystem
AuraDS Professional AuraDS Enterprise

Neo4j Graph Database

Neo4j Browser

Neo4j Bloom

Neo4j Spark Connector

Neo4j Kafka Connector

AuraDS Professional AuraDS Enterprise

On-demand point-in-time snapshots

Backup method

Ad-hoc backups

Ad-hoc backups

Backup retention

180 days

180 days

AuraDS Professional AuraDS Enterprise




Multiple database users

RBAC (role based access control)

not available

not available

1. At rest and in transit

Customer support
AuraDS Professional AuraDS Enterprise

Best effort

Premium support

Pricing and usage
AuraDS Professional AuraDS Enterprise

Capacity-based consumption pricing model


Prorated based on month usage

Prepaid contract terms with custom pricing

Cloud marketplace billing

Volume discounts

Terms of Service


Enterprise with commercial negotiations

For information on the different levels of support offered in each plan, see the support page.

Updates and upgrades

AuraDS updates and upgrades are handled by the platform, and as such do not require user intervention. Security patches and new versions of GDS and Neo4j are installed within short time windows during which the affected instances are unavailable.

The operations are non-destructive, so graph projections, models, and data present on an instance are not affected. No operation is applied until all the running GDS algorithms have completed.