Changelog

Follow up on the latest improvements and updates.

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Now Available: Default Cypher Version Setting for Organizations

Since the release of Cypher 25 in June 2025, Cypher 5 has entered long-term support. All new features are now released exclusively on Cypher 25 each month.
While Cypher 5 remains the default version on Aura, and you can still use
ALTER DATABASE
commands to set the default Cypher version of an individual instance, we have been working to make it easier for you to use the exciting new capabilities of Cypher 25 on Aura.
Starting today, Organization Owners and Admins can set
Cypher 25
as the default version for
all new instances
in their Organization directly from the Aura Console.
To do this, navigate to:
Organization Settings > General Settings.
ScreenRecording2025-12-11at11
Existing instances will keep their Cypher version, and you need to use
ALTER DATABASE
commands to change their Cypher version.
This update allows you to get the most out of Neo4j Aura by easily taking advantage of the new Cypher functions and procedures available in Cypher 25. You can also switch back to Cypher 5 whenever you choose.
Check out our documentation - Organization Settings and Managing Cypher version of an Instance for more information!

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Access snapshots on paused instances

We're happy to announce that selected snapshots are available to access for all AuraDB and AuraDS instances while paused.
Scheduled daily full snapshots and on demand snapshots create a full backup artefact which can be exported via the Neo4j Aura Console, and also via the public Aura API.
Overview
This release adds support for Neo4j Ops Manager users to log in using
Single Sign-on
. The Neo4j Ops Manager server can be configured with one or more of these SSO IdPs: Auth0, Google Identity, Microsoft Entra ID and Okta. See the Neo4j Ops Manager documentation for more details.
This release also includes changes to components based on security and supportability.
It is available now to download from the download centre and other usual repositories.
Highlights
Support for integrating with SSO for login authorization flow (Docs):
  • Add Google Identity authorization code flow
  • Add Auth0 authorization code flow
  • Add Entra ID authorization code flow
  • Add Okta auth code flow
  • Add profile page for SSO
  • Block username-password login if it is turned off
  • Log warnings on missing claims, default to empty first/last name, email
Migrate to Neo4j Design Library v3
Migrate to official spring gRPC
Allow external emails in notification configs
Add userCreated field to conditions
Update to Spring boot 3.5.8
Fixes
Make non-user created conditions undeletable
Make mTLS cert config optional
Adding constraint for Metric timestamps
Add migration to remove any broken metrics

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Neo4j Fleet Manager now available!

Neo4j Fleet Manager is a new product that provides a single control plane to unify management, monitoring, and operations across all Neo4j databases - on-premise, hybrid, and in the cloud.
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This new free offering enables administrators to:
  1. Lower costs while improving control with centralized management of all their Neo4j deployments: AuraDB, Graph Database EE, CE, and Desktop
  2. Optimize performance and reliability with end-to-end visibility, insights, and health monitoring
  3. Improve resilience and uptime by streamlining workload operations with automated migrations to Aura, security advisories, and simplified upgrades
Check out the blog to learn more about this announcement.

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Terraform Provider for AuraDB now available in Neo4j Labs

Now available in Neo4j Labs — we’re excited to announce the Beta 1 release of the Terraform Provider for Neo4j Aura!
You can access it directly from the Terraform Provider Repository for immediate use in your Terraform configurations, or build and run it yourself from the source code on GitHub.
image
The Neo4j Aura Terraform Provider brings a fully declarative, infrastructure-as-code (IaC) approach to managing your AuraDB environments. By codifying interactions with the Aura Management API, teams can streamline, standardize, and automate the provisioning and lifecycle management of AuraDB resources.
With this initial beta, you can:
  • Retrieve information about Aura projects
  • Create, modify, pause, resume, and delete AuraDB instances
  • Take and restore AuraDB snapshots
  • Create new AuraDB instances from snapshots
Additional capabilities will continue to roll out as we evolve the provider.
We’d love to hear what you think — please share your feedback on our Aura General Feedback board, or via your Account Manager!

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Aura Graph Analytics

Introducing Native Vector Type in Neo4j Aura

We’ve added a first-class Vector data type to Neo4j for storing embedding vectors directly as typed, fixed-length vectors instead of generic lists.
What it is
A new VECTOR<dtype>(length) property type that’s fully supported across drivers v6+, Cypher 25, storage, constraints, and Aura/Neo4j 2025.10.
It gives you a clean, explicit way to work with embeddings in application code and Cypher.
image
Benefits of Native Vector Type in Aura
  • Simpler code 
    — First‑class vectors in the drivers mean fewer helpers and fewer mistakes.
  • Integrity by default 
    — Property‑type constraints enforce shape and dtype and protect your indexes.
  • Future‑ready
     — Unlocks vector‑specific functions, indexes, and storage optimizations over time.
Native types are supported end to end: Neo4j drivers → Bolt protocol → Cypher → Storage engine → Constraints.
Read our launch blog for a deep dive and code examples.

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Adjustable Storage now available for AuraDB on Azure!

We’re excited to announce that Adjustable Storage is now available for AuraDB Professional, Business Critical and Virtual Dedicated Cloud tier customers deploying on MSFT Azure cloud.
This feature, previously released for AWS & GCP, allows customers on Azure to independently scale storage and RAM for their AuraDB instances. You can now adjust your storage capacity without the need to increase your instance size - helping you avoid unnecessary costs.
This capability is available for new deployments and resizes running the latest Neo4j version and can be configured via both the API and Console.
Screenshot 2025-11-04 at 12
What’s New
With Adjustable Storage, you can now scale storage and RAM independently—giving you greater flexibility to increase storage capacity without upgrading instance size, while also reducing compute costs.
Benefits of Adjustable Storage:
  • Greater Flexibility: Scale resources to suit your needs
  • Cost Efficiency: Avoid additional compute expense when only extra storage is required
  • Improved Experience: Eliminate manual processes and custom workaround support requests
For more information, please visit our documentation page.

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Neo4j Aura Database October Release Update

The Neo4j Aura October release is now rolling out—starting with AuraDB Free and gradually extending to higher-tier instances.
🚀 New Cypher Features
  • VECTOR
    Type Support
    : We've introduced
    VECTOR
    as a new supported type in Cypher, Block store format and v6 drivers.
  • Construct Temporals from Strings
    : You can now construct temporal values (like dates and times) from formatted strings, with the option to provide patterns for the conversion. This complements the feature to format temporal values into strings in last month's release.
🛠️ Improvements
  • Better Error Highlighting
    : To help you debug faster, Cypher errors in JSON query logs and cypher-shell will now
    display the query string along with a position marker
    pointing to where the error occurred.
🐞 Bug Fixes
  • Cypher
    : We now allow using
    null
    as a default value for non-primitive procedure parameters, and fixed a bug where values in the options maps for
    CREATE INDEX
    and
    CREATE CONSTRAINTS
    could be transposed.
  • Server
    : A rare issue was fixed where malformed tokens (like empty strings) could bypass validation and cause a database panic, and a stack overflow error is now prevented when sorting free IDs for big value store.
For full details of all updates and fixes in this release, please visit: Release Notes: Neo4j Aura Database – October 2025.

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Aura Graph Analytics

Neo4j Graph Intelligence for Microsoft Fabric

We’re excited to announce the general availability (GA) of Neo4j Graph Intelligence for Microsoft Fabric – bringing the power of connected data and graph algorithms into the Microsoft Fabric experience.
Data Engineers, Scientists, and Analysts are able to model, transform, and analyze their OneLake data as a graph, unlocking powerful insights using Neo4j's AuraDB and Graph Analytics running on Azure - all without leaving the Fabric console.
Up to 10x Professional trials are available per organisation
Benefits for Fabric users
  • Incorporate graph within your Fabric Workspaces.
  • Transform your OneLake data into a graph with AI assisted modelling.
  • Run graph algorithms and query your graph with Cypher all in the Fabric console.
  • Graph assets become discoverable and trusted  across your organization by Tagging, Endorsing & Certifying Items.
  • Data Lineage & Governance of the Spark jobs used to create the graphs.
Improvements
We have added lots of great new features since the Private Preview
  • Ability to adjust the data model before import.
  • View the imported data model after import.
  • Specify the instance size during creation (not available in the trial).
  • Support for Aura Graph Analytics - serverless analytic sessions.
  • Checks to ensure essential Aura features are enabled.
  • Support for lakehouses that contain shortcuts.
Resources
Look forward to your feedback

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Data Importer

Import

Announcing the Aura Import API

We’re excited to introduce the Aura Import API, making it easier to automate and manage your data imports into Aura programmatically — whether you’re scheduling recurring jobs or integrating imports into your CI/CD pipelines.
This release is part of the new v2beta1 API, expanding Aura’s automation capabilities. The existing v1 API remains available for broader instance management.
New endpoints include:
  • POST /import/jobs
    — Run an import job
  • GET /import/jobs/{AURA_API_IMPORT_JOB_ID}
    — Check job status (with optional progress details)
  • POST /import/jobs/{AURA_API_IMPORT_JOB_ID}/cancellation
    — Cancel a running job
Learn more:
The same functionality is also available via the Aura CLI.
We’d love to hear how this API fits into your workflows — share your thoughts or suggestions on our feedback page.
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