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Merged
merged 5 commits into from
Jul 16, 2025
Merged

Apply official product naming #749

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9480553
Apply official product naming
FlorentinD Jul 15, 2025
49c883a
Drop serverless from text
FlorentinD Jul 16, 2025
0190a9e
Remove last mention of serverless
FlorentinD Jul 16, 2025
5644caf
Fix Aura Graph Analytics naming in visual tour
FlorentinD Jul 16, 2025
c725c48
Merge branch 'console' into aura-graph-analytics-naming
FlorentinD Jul 16, 2025
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24 changes: 12 additions & 12 deletions modules/ROOT/pages/graph-analytics/index.adoc
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Expand Up @@ -6,11 +6,11 @@

If your data is in Aura or you plan to move it to Aura, you have several options to run graph analytics:

* Enable <<aura-gds-plugin,Graph Analytics>> on an existing AuraDB instance (Professional).
* Use <<aura-gds-serverless,Graph Analytics Serverless>> from an existing AuraDB instance (Business Critical, Virtual Dedicated Cloud).
* Create an <<aura-ds, AuraDS instance>> (Professional, Enterprise).
* Enable the <<aura-gds-plugin,Graph Analytics plugin>> on an existing AuraDB instance (Professional).
* Use <<aura-gds-serverless,Aura Graph Analytics>> from an existing AuraDB instance (Business Critical, Virtual Dedicated Cloud).
* Create an <<aura-ds,AuraDS instance>> (Professional, Enterprise).

If your data is in a self-managed Neo4j DBMS or a non-Neo4j data source, you can still use <<aura-gds-serverless,Graph Analytics Serverless>>.
If your data is in a self-managed Neo4j DBMS or a non-Neo4j data source, you can still use <<aura-gds-serverless, Aura Graph Analytics>>.

[[aura-gds-plugin]]
== Graph Analytics plugin
Expand All @@ -37,12 +37,12 @@ With the Graph Analytics plugin enabled:
* If you use Python, start with the link:{neo4j-docs-base-uri}/graph-data-science-client/current/tutorials/tutorials/[Python client tutorials].

[[aura-gds-serverless]]
== Graph Analytics Serverless
== Aura Graph Analytics

Graph Analytics Serverless allows you to use the Graph Data Science library regardless of where your source data is stored.
Aura Graph Analytics allows you to use the Graph Data Science library regardless of where your source data is stored.
It runs in Aura as a link:{gds-sessions-page}[dedicated service] optimised for analytics workloads, with no memory or compute resources shared with your data store.

You can enable, disable, and configure Graph Analytics Serverless on the organization level in the xref:visual-tour/index.adoc#_settings_for_graph_analytics_serverless[organization settings].
You can enable, disable, and configure Aura Graph Analytics serverless on the organization level in the xref:visual-tour/index.adoc#_settings_for_graph_analytics_serverless[organization settings].
The details on any running sessions are available in the xref:visual-tour/index.adoc#_graph_analytics[Graph Analytics] page.

=== From an AuraDB instance
Expand All @@ -51,10 +51,10 @@ label:AuraDB-Business-Critical[] label:AuraDB-Virtual-Dedicated-Cloud[]

[IMPORTANT]
====
Graph Analytics Serverless is currently unavailable via any of the xref:cloud-providers.adoc[cloud provider marketplaces].
Aura Graph Analytics is currently unavailable via any of the xref:cloud-providers.adoc[cloud provider marketplaces].
====

You can use Graph Analytics Serverless from any AuraDB Business Critical or AuraDB Virtual Dedicated Cloud instance with the following requirements:
You can use Aura Graph Analytics serverless from any AuraDB Business Critical or AuraDB Virtual Dedicated Cloud instance with the following requirements:

* Neo4j version 5 or later
* All supported cloud providers and regions
Expand Down Expand Up @@ -111,9 +111,9 @@ Graphs and models created or updated _after_ the instance update/upgrade process
|
|Graph Analytics plugin +
(AuraDB Pro)
|Graph Analytics Serverless +
|Aura Graph Analytics serverless +
(AuraDB BC)
|Graph Analytics Serverless +
|Aura Graph Analytics serverless +
(AuraDB VDC)
|AuraDS

Expand Down Expand Up @@ -146,4 +146,4 @@ Graphs and models created or updated _after_ the instance update/upgrade process
|No downtime; projected graphs and trained models are unaffected
|No downtime; projected graphs and trained models are unaffected
|Short downtime; projected graphs and trained models are restoredfootnote:[Graphs and models created or updated _after_ the instance update/upgrade process has started are *not guaranteed* to be restored upon restart.]
|===
|===