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Changelog

Follow up on the latest improvements and updates.

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new

Explore

Multiple Explore Scenes

Users of Explore can now store multiple Scenes! Up to 3 Scenes can be saved for a Free Instance, 5 for Pro Instances, while Enterprise Instances benefit from an unlimited number of Scenes.
Note that at this time, Scene data can only be persisted until an Instance is paused.
Additionally, Perspectives and Scenes are now stored online, meaning that they can be accessed from different workstations and web browsers. Limits on the number of Perspectives that can be stored have also been introduced, with Free Instances limited to only the Default Perspective, Pro Instances having up to 5 Perspectives, and no limits on Enterprise Instances. Any existing Perspectives will automatically be migrated to online storage.

improved

Neo4j Fleet Manager

Fleet Manager enhancements with Neo4j 2026.03 release

With the general availability of 2026.03, Neo4j is pleased to announce two enhancements to Fleet Manager.
Simpler Setup
The fleet manager plugin is now incorporated in the Neo4j binaries and enabled by default, meaning there is no longer a need to perform plugin setup as part of installing Fleet Manager.
Setup can be achieved directly from the Aura console in three easy steps for deployments running 2026.03 or later:-
  1. Add a self-managed instance to a project in the console
  2. Enter a name and connection URI for the self-managed deployment, and connect to Neo4j
  3. Confirm that fleet manager is ready and click next.
The existing manual installation and registration via the Aura API and CLI is still available. Remember to remove the plugin on 2026.03 or later when upgrading, although Neo4j will still start if the plugin is present.
Query Log Analyzer for Self-managed Enterprise
Query Log Analyzer for self-managed Enterprise Edition databases in Fleet Manager is now available where Neo4j is running 2026.03 or later.
This is a summary only feature, and aggregate query logs are collected in 10 minute buckets and uploaded to the service. The familiar UI presents the information in the console, with time selection, filters and sorts as with Aura QLA.
image
There is no ability to see individual query executions (details) for Fleet Manager; these are available on the self-managed deployment if needed.
To use the feature:-
  1. Ensure you are running Neo4j Enterprise Edition 2026.03 or later, and have the deployment registered in Fleet Manager
  2. Have Neo4j configured to obfuscate query logs (
    db.logs.query.obfuscate_literals=true
    ). This will also affect the local query log files and is to prevent any potential exposure of sensitive data.
  3. Opt-in to use the feature using the console. Choose inspect for the deployment, go to the settings tab and enable Query Log Analyzer.
Once enabled, it can take 10 minutes or more for data to be available in the console.
Documentation is available in the Aura docs for Fleet Manager.

new

AuraDB Virtual Dedicated Cloud

AuraDB Professional

AuraDB Business Critical

Available for VDC - GraphQL DataAPI

We are pleased to announce availability of GraphQL DataAPIs for our Virtual Dedicated Cloud customers.
At this time, we have re-worked and improved the user interface for all Aura Console users with
  • One click generation of GraphQL Type Definitions based on information in your graph
  • Test Type Definitions. by writing queries / mutations
Next on our list is to allow you to choose the size for your GraphQL DataAPI for your needs.
As ever, please let us know of any feedback on our GraphQL Discord channel or on GitHub
Regards
The GraphQL team at Neo4j

new

AuraDB Virtual Dedicated Cloud

AuraDB Professional

AuraDB Free

AuraDS Professional

AuraDS Enterprise

AuraDB Business Critical

Neo4j Aura Database March SECOND Release

The Neo4j Aura March SECOND release is now rolling out—starting with AuraDB Free and gradually extending to higher-tier instances.
This second release in March reveals excited new security features and Cypher 25 updates!
🧑🏻‍💻Cypher 25: New Path Modes & Visibility
We’ve added several features to make your queries safer and more transparent:
  • ACYCLIC Path Mode
    : You can now specify that a node cannot be traversed more than once in a pattern match, avoiding loops.
  • LOAD CSV Progress Tracking
    : Use
    SHOW TRANSACTIONS
    to see real-time progress metrics for ingestion jobs.
  • GQL Conformance
    : We’ve added the
    PROPERTY_EXISTS()
    function to keep your code aligned with the latest GQL standards.
🚛 Fleet Manager Updates
These apply if you are running Self-managed Neo4j instances, and upgraded the Neo4j version of your instances to 2026.03:
  • Built-in Fleet Manager
    : You won't need a plug-in to use Fleet Manager to manage your Self-managed Neo4j instances on Aura console anymore. It is ready by default.
  • Query Log Aggregation
    : You can now view aggregate query logs directly in the Aura console. Ensure
    db.logs.query.obfuscate_literals=true
    is set to enable this.
🛠️ Bug and Security Fixes
  • Updated Jetty to v12.0.33 to resolve CVE-2026-1605.
  • Fixed a rare bug in the pipelined runtime involving EXISTS subqueries that could cause incorrect intermediate results.
  • Dynamic lookups now use locking index seeks when required, whereas previously they were vulnerable to constraint violations if used concurrently in a merge context.
For full details of all updates and fixes in this release, please visit: Release Notes: Neo4j Aura Database – March 2026.

new

AuraDB Virtual Dedicated Cloud

AuraDB Professional

AuraDB Free

AuraDS Professional

AuraDS Enterprise

AuraDB Business Critical

Neo4j Aura Database March Release

The Neo4j Aura March release is now rolling out—starting with AuraDB Free and gradually extending to higher-tier instances.
🚀 Updates
  • New organizations created after 4 March default to Cypher 25. If you're an Organization admin, you can toggle the setting as needed.
  • Vector search with filters (in-index filtering) and the new Cypher
    SEARCH
    syntax for vector queries are now GA and supported for production use.
  • GRAPH TYPE
    is now available in Preview - It provides you the ability to declare your data model in a single, unified blueprint. This enforces strict data integrity including validation of relationship connections and label definitions without sacrificing the flexibility of an open schema.
  • Added GQL-compliant aliases for existing Cypher functions.
  • Added
    ai.text.structuredOutput()
    function to the GenAI Plugin, taking a textual prompt and map schema and outputting the result as a map adhering to the given schema.
🐞 Bug fixes
  • Fixed a bug in pipelined runtime where sometimes queries with multiple
    SelectOrSemiApply
    operators in the query plan could fail.
  • Fixed a bug where use of a composite property index in combination with a dynamic node label or dynamic relationship type could result in an incorrect
    MATCH
    result being returned.
  • Fixed issue with conditional query
    WHEN
    not aggregating null values correctly without a grouping key.
  • Fixed a bug with the new MergeUniqueNode operator.
For full details of all updates and fixes in this release, please visit: Release Notes: Neo4j Aura Database – March 2026.

new

Desktop

Neo4j Desktop 2 v2.1.3

What's new
Desktop core
  • Fixed an issue with remote connections
  • Added a new help and learn menu to the OS/window menubar and via the '?' button

new

AuraDB Virtual Dedicated Cloud

AuraDB Professional

Import

AuraDB Business Critical

Bulk Import for Aura (Public Preview)

We are excited to introduce Bulk Import, a high-performance data loading path for Aura. By bypassing standard transaction overhead and writing directly to disk, Bulk Import enables significantly faster initial loads and unlocks massive datasets that were previously difficult to ingest.
⚠️
IMPORTANT:
Bulk Import is a "destructive" load. It overwrites the entire contents of your database. It is intended for initial migrations and large-scale refreshes.
Key Features
  • High Performance: Uses the same engine as neo4j-admin import.
  • Cloud Native: Supports CSV and Parquet files directly from S3, GCS, or Azure Blob Storage.
  • Familiar Workflow: Use your existing graph models and mapping configurations, choosing the Bulk Import option at runtime (see screen grab below).
  • Detailed Tracking: Monitor progress through specific import stages in the Aura Console.
Performance Benchmarks
The larger your data, the more time you save. Our initial tests show significant improvements over standard "Online" imports and we're continuing to improve performance
  • Small Datasets: ~3x speedup.
  • Large Datasets (100GB+): 10x speedup or more.
  • Enterprise Scale (TB+): Enables imports that were previously too slow to complete via transactional APIs.
Availability
Bulk Import is available now for Aura Professional, Business Critical, and Virtual Dedicated Cloud customers. This feature is currently in Public Preview as we continue to refine performance and stability.
Run import

new

Desktop

Neo4j Desktop 2 v2.1.2

What's new
Desktop core
  • Added a button to restart the running instance 
  • Added a ‘new’ instance label, that shows for one hour or until the instance has been started,  whichever comes first
  • Added instance ‘sort by last started’ and ‘show running instance on top’ 
  • Import has moved to 'Tools' in the sidebar menu to be consistent with Aura console
Query
  • Graph chip table render
-Simpler way to render graph elements in table view
-Styling shared with graph visualization
-Integrates with property inspector
Explore
  • Added 'Circular Layout'
  • Added support for Aura Graph Analytics Serverless
Dashboards
  • Added option to cancel active queries

new

AuraDB Professional

AuraDB Free

AuraDB Business Critical

Neo4j Aura Agent Now Available!

Aura Agent is a new agent-creation platform that lets you build expert AI agents directly from your AuraDB knowledge graphs—without stitching together multiple AI services, frameworks, or infrastructure. With ontology-driven agent generation and accurate GraphRAG retrieval, you can build, test, and deploy intelligent agents in minutes.
Key Benefits
  • Easily generate ontology-driven agents:  Automatically generate agents tailored to your graph schema. With just a few details about your use case, you get a ready-to-test agent with instructions and prebuilt retrieval tools..
  • Higher accuracy with Agentic GraphRAG:  Combine vector search and graph queries for more precise retrieval, richer context and more accurate answers than traditional RAG approaches.
  • Transparent reasoning: Through detailed planning, tool execution and multi-hop graph data retrieval, agents provide clear and explainable answers.
  • One-click deployment: Deploy agents to a secure endpoint, ready for REST or MCP integration.
Check out the launch blog and documentation to learn more.

new

AuraDB Professional

AuraDB Business Critical

Aura Graph Analytics

Update for Graph Intelligence for Microsoft Fabric

Exciting news: You can connect your existing Aura instances to Microsoft Fabric
new-fabric
For Data Scientists and Analysts who wish to Explore and Query graphs in Microsoft Fabric, you can now
  • Connect your existing Aura Professional and Business Critical instances on Azure to Microsoft Fabric.
  • Serverless Graph Analytics is also available within Explore, and it has become the default for all Graph Items created in Fabric.
  • The new sample data set experience loads a retail dataset into a Lakehouse for you to transform into a graph. Check out the blog Scoring Recommendations and Writing Back to OneLake for what you can use this data set for.
Docs
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