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Changelog

Follow up on the latest improvements and updates.

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Neo4j Aura Console moving to console.neo4j.io

We previously communicated that the Aura Console would be moving to the console.neo4j.io domain. This change has now been completed.
No action is required for this update. However, as noted in earlier direct communications, customers who use
neo4j-admin
to upload backup files to Aura must upgrade to the 2025.04 release.
This upgrade ensures continued compatibility for neo4j-admin database upload commands (specifically neo4j-admin push to cloud on version 4) with the unified Neo4j Aura Console.
Users of
Explore
in the Aura Console may notice that some Perspectives stored in browser local storage are not visible on the new domain. These Perspectives are still accessible via console-preview.neo4j.io. A Knowledge Base article is linked from Explore and explains how to migrate these Perspectives to the new domain if needed.
This change does not impact any instances participating in the Bloom Enterprise EAP for Scene saving and Perspective sharing.
Users of
Query
and
Dashboards
may notice history and styling are not persisted after the move. You can read more about how to recover them by reading a separate Knowledge Base article.
If you experience any issues, please reach out to Neo4j Customer Support.
Thanks,
The Aura Team

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AuraDS Enterprise

Now Available - IP Filtering for Aura DS Enterprise

Neo4j Aura DS Enterprise now supports IP Filtering, enabling you to define which IP address ranges can access your Graph Data Science deployment. This feature compliments the existing AuraDB IP Filtering and provides strong, lightweight network access control without requiring private endpoint setup. Users with Organization Admin privileges can manage filters via the Aura Console UI or Admin API, with support for up to 100 IP ranges.
Network security filters can be applied across a project or individual to each Aura instance for consistent access policies.
IP Filtering is ideal for securing public or hybrid deployments, limiting access to trusted networks, enforcing compliance boundaries, and streamlining development environments.
Available now for Aura DS Enterprise in addition to Aura Graph Analytics when used with AuraDB Business Critical & Virtual Dedicated Cloud tiers. See our IP Filtering documentation for more details.

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Neo4j Aura Database December Release Update!

The Neo4j Aura December release is now rolling out—starting with AuraDB Free and gradually extending to higher-tier instances.
🤖 GenAI Plug-in
We have expanded our GenAI capabilities with native functions and procedures for major providers (e.g. OpenAI, Azure OpenAI, Google VertexAI, and Amazon Bedrock):
  • Vector Embeddings
    : Use the new
    ai.text.embed
    function and
    ai.text.embedBatch
    procedure to generate Neo4j vector types directly from your data.
  • Text Completion
    : Generate text from prompts using the new
    ai.text.completion
    function.
  • Provider Management
    : Easily list allowed providers and configuration requirements with
    ai.text.embed.providers
    and
    ai.text.completion.providers
    .
🚀 New Cypher Features and Performance Improvements
  • Collection Functions
    : We have expanded the Cypher 25 capabilities with a suite of new collection-based functions, including
    coll.distinct
    ,
    coll.flatten
    ,
    coll.sort
    ,
    coll.insert
    , and more to give you finer control over your data structures.
  • Faster Dynamic Labels
    :
    MATCH
    and
    MERGE
    queries utilizing dynamic labels (e.g.,
    MATCH (p:$("Person"))
    ) now leverage property indexes, resulting in significantly faster performance.
  • Optimized Merge Operations
    : We’ve introduced two new planner operators:
    MergeUniqueNode
    to speed up merge queries with uniqueness constraints, and
    MergeInto
    to improve performance on pattern creation queries.
🐞 Security and Bug Fixes
  • Security
    : Resolved CVE-2025-12738 to tighten permission on property setting on and CVE-2025-11602 on Bolt protocol.
  • Fixed bugs related creation of full-text indexes, corrected error code 42N68 to 42I58 and fixed
    ArrayIndexOutOfBoundsException
    when using Label, Type, or property names longer than 2000 characters.
For full details of all updates and fixes in this release, please visit: Release Notes: Neo4j Aura Database – December 2025.
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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.

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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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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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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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Neo4j Aura Database September Release Update

The Neo4j Aura September release is now rolling out—starting with AuraDB Free and gradually extending to higher-tier instances.
This month's release introduces a new function in Cypher 25, performance improvements and better error messages.
Key updates
  • New
    format()
    Function in Cypher 25
    : You can now format temporal values into a custom string pattern directly in your query.
  • Smarter Query Planner
    : We’ve improved the query planner's logic to more frequently choose a faster index scan, boosting performance for certain queries.
  • Better Cypher Version Errors
    : If you run a valid Cypher 25 query while in Cypher 5 mode, the error message will now inform you that the query would succeed in Cypher 25, making it easier to identify and resolve version-specific syntax issues.
Fixes
  • Fixed a very rare bug where a uniqueness constraint could incorrectly allow duplicate properties while the index was being populated.
  • Resolved an issue that could lead to incorrect results for queries using
    shortestPath()
    in combination with an
    all()
    predicate.
  • Addressed several bugs that could lead to errors, including NullPointerException during concurrent node deletions, OutOfMemoryError during query planning, and failures in queries using pipelined runtime.
  • Relationship indexes are now correctly displayed in the output of SHOW TRANSACTIONS.
For full details of all updates and fixes in this release, please visit: Release Notes: Neo4j Aura Database – September 2025

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Query Log Forwarding now available!

We’re excited to announce: Query Log Forwarding is now available!
With this new feature, customers can set up and manage query log forwarding directly from the Aura console. Logs can be sent to a cloud logging service of your choice, enabling better compliance, monitoring, and operational visibility.
Supported targets:
  • Google Cloud Logging (GCP)
  • CloudWatch (AWS)
  • Log Analytics (Microsoft Azure)
If you operate in multiple regions, you can configure a separate forwarding process for each cloud provider and region.
image
Key benefits:
  • Supports regulatory, compliance, or operational requirements where Query Log Analyzer may not suffice
  • Provides functionality similar to existing Security Log forwarding
  • Near real-time streaming — logs are forwarded as they’re generated and typically available within seconds
Once configured, all eligible AuraDB instances in the same cloud provider and region will automatically forward query logs to your chosen service. Please note that volume-based egress charges will apply.
For full details, see our documentation
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