Changelog
Follow up on the latest improvements and updates.
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We wanted to let you know about some upcoming changes to our
Self-Serve Aura Terms of Service
(“Terms”) for our self-serve customers. These updates have been published online and will take effect on 8th October 2025
. We’ve updated the terms to be easier to read and to cover new Neo4j products, services, and features. Some notable changes include:
- 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.
We encourage you to read the updated terms. If you continue to use Neo4j products and services after 8th October 2025, you are agreeing to these updated Terms. If you do not agree, you can discontinue use of Neo4j products and services, and close your Aura account before these terms become effective.
new
AuraDB Virtual Dedicated Cloud
AuraDB Professional
AuraDB Free
AuraDB Business Critical
New Capabilities in Aura are now available!
Announcing new enhancements in Aura, making it easier to operate, scale, and secure with powerful new capabilities, including:
- 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
Check out our latest blog to learn more.
new
AuraDB Professional
AuraDB Business Critical
🌍 Aura Now Available in Montreal (GCP)
We’re pleased to announce that AuraDB Professional and Business Critical and AuraDS are now live in Google Cloud’s
northamerica-northeast1
(Montreal) region.Many of you have asked for a Canadian region, and this addition gives you the ability to keep your data closer to home while benefiting from Neo4j’s fully managed experience on GCP.
Your feedback continues to guide our regional expansion, so please keep sharing your priorities—we’re building this roadmap with you.
Start running AuraDB in Montreal today.
Team Aura 🚀
new
AuraDB Professional
AuraDB Business Critical
🌍 Aura Now Available in Frankfurt (AWS)
We’re excited to share that AuraDB Professional and Business Critical and AuraDS are now supported in AWS’s
eu-central-1
(Frankfurt) region.Frankfurt has been one of our most requested AWS regions, and this launch provides even more choice for European customers who need local data residency and low-latency access.
We’d love to hear where you’d like Aura to go next—your requests help us decide which regions to bring online.
Deploy your AuraDB cluster in Frankfurt today.
Team Aura 🚀
new
AuraDB Virtual Dedicated Cloud
AuraDB Professional
AuraDB Free
AuraDS Professional
AuraDS Enterprise
AuraDB Business Critical
Neo4j Aura Database August Release Update
The Neo4j Aura August release is now rolling out—starting with AuraDB Free and gradually extending to higher-tier instances.
This month brings new Cypher and Cypher Shell functionalities, and improved query performance!
Key Updates
- Introduced a new Cypher function allReduce()to optimize variable path expansion in your queries, allowing for earlier filtering of irrelevant paths.
- ALTER DATABASE privileges (including sub-privileges) can now be specified per database, and not just at DBMS.
- Some queries previously unsupported by the NEXTstatement are now supported.
- Improved the performance of dynamic label queries, bringing them closer to the speed of static label lookups.
- Added an option in Cypher Shell CLI to disable the command and query history.
Fixes
Server
- Range index is now consistent with no index for equality comparisons over points and durations.
Cypher
- Resolved a bug causing large number overflows in arithmetic operations
- Fixed an issue with spatial queries (point.distance()andpoint.withinBBox()) that could fail to find points just outside a restricted index region.Note: You may need to rebuild your point index for this fix to take full effect.
- Corrected an error that occurred when creating multiple linked users with a parameterized username.
For full details of all updates and fixes in this release, please visit: Release Notes: Neo4j Aura Database – August 2025
new
AuraDB Virtual Dedicated Cloud
AuraDB Professional
AuraDB Business Critical
Adjustable Storage now available for AuraDB on AWS!
We’re excited to announce that
Adjustable Storage
is now available for AuraDB Professional
, Business Critical
and Virtual Dedicated Cloud
tier customers deploying on AWS
cloud. This feature, previously released for GCP, allows customers on AWS 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
.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 informations, please visit our documentation page.
We are excited to announce that Secondaries are now available for Neo4j AuraDB Business Critical instances!
This feature, previously exclusive to our Virtual Dedicated Cloud tier, brings a new level of read scalability and high availability to our enterprise-grade, multi-tenant AuraDB offering.
Now, you can enhance your Business Critical applications by:
- Boosting Read Performance: Offload read-intensive workloads—such as complex analytical queries and reporting dashboards—to a Secondary. This frees up your primary database to focus on transactional operations, improving overall application speed and responsiveness.
- Higher availability: Distributing multiple Secondaries across availability zones ensures fault tolerance and high availability—an outage in one zone doesn’t impact Secondaries in other zones.
Adding a Secondary to your Business Critical instance is simple and can be done directly from the Aura Console. Please see the Docs page for further information.
For a deeper dive into the benefits of using Secondaries, check out our detailed blog post: Boosting AuraDB Read Performance With Secondaries.
We are thrilled to bring this much-requested feature for read scaling to our Business Critical customers.
Team Aura 🚀
new
AuraDB Virtual Dedicated Cloud
AuraDB Professional
AuraDB Free
AuraDS Professional
AuraDS Enterprise
Data Importer
AuraDB Business Critical
🚀 New: Import from Cloud Object Storage
We’re excited to announce that Neo4j Aura now supports importing data directly from
AWS S3
, Google Cloud Storage
, and Azure Blob & Data Lake Storage
!
With this release, you can ingest data stored in object storage into your graph, using CSV or Parquet files as input. You can map one or more files—using glob patterns if needed—into temporary tables, enabling flexible transformations and modeling. These tables support the same intuitive mapping experience available for RDBMS and Cloud Data Warehouse sources, so you can stay productive no matter where your data lives.
Whether you're loading product catalogs, user activity logs, or complex relationship data, it’s now easier than ever to bring that data into Neo4j using our visual import tools.
- 📁 Supported file types: .csv,.parquet
- 🧩 Supports multiple files with matching schema
- 🛠️ Familiar modeling and mapping workflow
- 🌐 Works across AWS, GCP, and Azure
💬
Have feedback or ideas?
We’d love to hear from you! Visit feedback.neo4j.com to share your thoughts and help shape future improvements.new
AuraDB Virtual Dedicated Cloud
AuraDB Business Critical
IP Filtering Now Available for Neo4j AuraDB
Neo4j AuraDB now supports IP Filtering, enabling you to define which IP address ranges can access your graph databases. This feature 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 for Virtual Dedicated Cloud (VDC) instances and 20 for Business Critical (BC). Filters can be applied across a project or individual to each database 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 AuraDB Business Critical & Virtual Dedicated Cloud tiers, with broader tier support coming in the future, see our documentation for more details.
new
AuraDB Virtual Dedicated Cloud
AuraDB Professional
AuraDB Free
AuraDS Professional
AuraDS Enterprise
AuraDB Business Critical
Neo4j Aura Database July Release Update
The Neo4j Aura July release is now rolling out—starting with AuraDB Free and gradually extending to higher-tier instances.
This month brings exciting updates to our Generative AI integration and new dynamic capabilities in Cypher!
Key Updates
- Expanded Generative AI Support: We have removed model restrictions for VertexAI and Google Bedrock when using the GenAI plugin. This allows you to use the latest available models. Important: The previous default model for VertexAI has been retired. Users must now explicitly specify a model in the configuration map when using VertexAI.
- Dynamic Labels and Types in Cypher: You can now use parameters to dynamically specify node labels and relationship types in your queries. This allows for more flexible query construction, for example: WHERE n:$($label).
- Improved Backup Inspection: For easier management and verification, backup metadata is now always included in the backup inspection output.
Important Fixes
This release fixes a critical bug that could cause the parallel runtime to return incorrect results for queries containing map projections (e.g.,
MATCH (n) RETURN n {.*} AS map
).For full details of all updates and fixes in this release, please visit: Release Notes: Neo4j Aura Database – July 2025.
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