Changelog
Follow up on the latest improvements and updates.
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new
AuraDB Professional
Aura Graph Analytics
Neo4j Graph Intelligence for Microsoft Fabric
- 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.
- 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.
new
AuraDB Virtual Dedicated Cloud
AuraDB Professional
AuraDB Free
AuraDS Professional
AuraDS Enterprise
Data Importer
Import
Announcing the Aura Import API
- 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
- API specification
- Authentication guide
- Blog post walkthrough - featuring a Google Cloud Workflows example to schedule imports
new
AuraDB Virtual Dedicated Cloud
AuraDB Professional
AuraDB Free
AuraDB Business Critical
Aura Activity Feed now available!

- Accessible directly in the Aura UI(API access coming soon)
- Organization owners and admins: View all activity across the organization
- Project admins: View project-level events under the Project menu
- Filtering options: Filter by user, date, IP address, or event type
- Export data: Download up to 30 days of logs in JSON or CSV
new
AuraDB Professional
AuraDB Business Critical
🌍 AuraDB Now Available in West Europe (Azure)
new
AuraDB Professional
AuraDB Free
AuraDB Business Critical
Aura Agent (Preview)

- No-/low-code agent builder: Create and configure AI agents directly in the Aura console
- Graph-grounded explainability: Agents provide accurate, transparent reasoning with answers derived from your AuraDB knowledge graph
- Cypher templates (for precise query logic)
- Vector similarity search (for semantic similarity with embeddings)
- Text2Cypher (for ad-hoc natural language queries)
- Agent deployment: Test in the console or deploy to an external Aura API endpoint with Aura API authentication
- Faster experimentation: Go from idea → working GraphRAG agent in minutes
- Enterprise-ready foundation: While EAP is experimental, GA later this year will bring full production support
- Broad applicability: If you have a knowledge graph in Aura, you can build an agent on it
- Create Your First Aura Agent in minutes
- Aura Agent Tutorials. A GitHub repository with datasets and step-by-step instructions to build Aura Agents
- Aura Agent EAP FAQ
new
AuraDB Virtual Dedicated Cloud
AuraDB Professional
AuraDB Free
AuraDS Professional
AuraDS Enterprise
AuraDB Business Critical
Neo4j Aura Database September Release Update
- Newformat()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.
- 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 anall()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.
new
AuraDB Professional
AuraDB Free
AuraDS Professional
New Console
AuraDB Business Critical
Dashboards
New in Dashboards - export, import & new query interface
- Build charts with natural language using the new prompt builder
- Import and export dashboards as files
- Download any chart as an (upscaled) PNG image

new
AuraDB Virtual Dedicated Cloud
AuraDS Enterprise
AuraDB Business Critical
Query Log Forwarding now available!
- Google Cloud Logging (GCP)
- CloudWatch (AWS)
- Log Analytics (Microsoft Azure)

- 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
- Acceptable Use Policy: For easier reference, we’ve moved the Acceptable Use Policy to its own page.
- Aura Feature-Specific Terms: We’ve introduced the Aura Feature-Specific Terms for more transparency on the terms that apply to new products and features, including Neo4j’s GenAI features.
- Fees, Payment, and Termination: We’ve also made updates throughout, including to the fees and payment section that include a direct link to the online pricing page and suspension of accounts due to failed or non-payment after 7 days.
- Notices & Updates: We’ve added additional detail to the sections on notices and updates to make sure that you don’t miss important updates such as these and you know how to provide notice to Neo4j.
new
AuraDB Virtual Dedicated Cloud
AuraDB Professional
AuraDB Free
AuraDB Business Critical
New Capabilities in Aura are now available!
- Adjustable storageto right-size deployments and scale storage independently of RAM
- Multiple database supportfor secure, isolated workloads(Available in Early Preview for AuraDB Business Critical & Virtual Dedicated Cloud starting October 2025, with GA planned for next year)
- Built-in dashboardsandAI-powered dashboard generationfor faster visualization and insights
- Enhanced security and compliancewith PBAC, MFA (TOTP), and query log forwarding
- Seamless integrationswith Snowflake, AWS S3, BigQuery, Databricks, and more