Changelog
Follow up on the latest improvements and updates.
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AuraDB Virtual Dedicated Cloud
AuraDB Professional
AuraDB Free
AuraDS Enterprise
AuraDB Business Critical
Aura Graph Analytics
GDS Python Client 2.0 brings new algorithms and asynchronous execution to Aura Graph Analytics
Version 2.0 of the GDS Python client is out, with multiple upgrades specific to Aura Graph Analytics:
- Asynchronous execution: projections, algorithm runs, and write-backs can now return a handle instead of blocking, so you can trigger a job and check on it later, even from a different process. This makes it much easier to orchestrate AGA jobs from tools like Apache Airflow: one task kicks off a projection or algorithm run, and a separate task polls for completion. See the async execution docs · Read the production pipeline guide
- HITS and topological link prediction algorithms, available viagds.hitsandgds.topological_link_prediction
- Per-algorithm AGA session memory estimation:GdsSessions.estimatenow takes analgorithmsparameter, so you can estimate memory for individual algorithms instead of a given category (docs)
- FastPath: the algorithm for turning event sequences into embeddings, announced separately
Heads up — this release also renames the AGA projection methods:
- gds.graph.projectis nowgds.graph.project.cypher
- gds.graph.project_nativeis nowgds.graph.project.native
The 1.x to 2.0 migration guide covers all breaking changes, make sure to update your scripts before upgrading.
Note: GDS Python Client 2.0 also updates AuraDS Enterprise and the AuraDB Pro Analytics Plugin; see the full changelog for everything included.
Database
- The performance of re-scored binary quantization (AKA High Fidelity Quantized vector search) and scalar quantization is significantly improved. A re-scored binary reduces latency by approximately 5x and increases query throughput by 5x. Indexes built before v2026.08 that aren't regularly updated, must be re-created in order to get the full benefit. See Vector indexes - Cypher Manual.
🚀 New Cypher 25 features
- Cypher now supports native full-text search through the new SEARCHclause for simple node and relationship patterns. See the Cypher Manual -> Query full-text indexes.
- The functions toString(),toStringList()andtoStringOrNull()have been updated to acceptLIST,MAP,NODE,RELATIONSHIPandPATHtypes. See the Cypher Manual -> String functions.
- Introduced map comprehension, which allows the creation of a MAPvalue by iterating over an existingMAPorLISTe.g{k: v IN map | keyExpression: valueExpression}. See the Cypher Manual -> Map comprehension.
- Add AS COMMANDSforSHOW USERSandSHOW ROLES, to get a create role/user or grant role to user/auth rule command string that can be executed to recreate the current setup of roles, users and their assignments. See Operations Manual -> Manage users and Manage roles.
- Add new AUTH RULESauthRulefilter toSHOW PRIVILEGES [AS COMMANDS]to filter on privileges assigned to roles granted to the given auth rules, similar to the existingUSERSorROLESfilters. Also add some useful columns to theSHOW PRIVILEGES AS COMMANDSto be able to filter the commands on. See Operations Manual -> Role-based access control.
🛠️ Bug fixes
- The page cache now reserves its full configured memory at startup and is guaranteed never to exceed server.memory.pagecache.size
- $anydynamic type evaluation on a list containing invalid elements in the list tail will now correctly throw instead of short-circuit accept on the list head, and the error message now no longer erroneously suggests thatLIST<LIST<STRING NOT NULL>>is an accepted outer list type.
- A division by zero is now raising a clean division-by-zero arithmetic error instead of a previous overflow/out-of-range
For full details of all updates and fixes in this release, as well as links to relevant documentation please visit: Release Notes: Neo4j Aura Database – September 2026.
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AuraDB Virtual Dedicated Cloud
AuraDB Professional
AuraDB Free
AuraDB Business Critical
Just released: features to help you scale AI to production
Work with data where it lives using
Neo4j Virtual Graph
, now in preview. Multiple databases
lets you consolidate workloads as individual databases within a single AuraDB instance. And you can now scale configurations up to 2TB of RAM and 5TB
of storage for growing workloads.
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AuraDB Virtual Dedicated Cloud
AuraDB Professional
AuraDB Free
AuraDB Business Critical
Aura Graph Analytics
FastPath is now available in Aura Graph Analytics
You can now use FastPath, a new algorithm in Aura Graph Analytics, to turn time-stamped event sequences into embeddings you can search, cluster, or feed into a model. Think customer journeys, patient histories, transaction chains, or clickstreams: anywhere timing changes what an event means. Three failed logins over a month means something very different from three failed logins in five seconds, and FastPath's embeddings capture that difference.
Use it to:
- Retrievesimilar journeys by searching FastPath embeddings in a vector index
- Discoverbehavioral patterns by clustering embeddings across your population
- Predictwhat happens next by feeding embeddings into downstream models for churn, risk, or anomaly detection
How to use it 🛠️
Call FastPath through the GDS Python Client (version 2.0 and later) or the Cypher API, same as any other GDS algorithm:
- Python:
gds.fast_path.mutate(
G,
base_node_label="Customer",
event_node_label="Event",
mutate_property="journeyEmbedding",
embedding_dimension=128
)
- Cypher:
CALL gds.fastPath.mutate('journeyGraph', {
baseNodeLabel: 'Customer',
eventNodeLabel: 'Event',
mutateProperty: 'journeyEmbedding',
embeddingDimension: 128
})
Full details are in the FastPath docs.
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improved
AuraDB Virtual Dedicated Cloud
AuraDB Professional
AuraDB Free
AuraDS Professional
AuraDS Enterprise
New Console
AuraDB Business Critical
Instance explorer preview
Navigate your instances and databases more easily by trying our new instance explorer.

- All your instances in one view (Aura, Virtual Graph, and self-managed)
- Click an instance or database in the explore view, then see the relevant settings on the right
- Settings now benefit from much more space, consistently using a full screen display (rather than drawers and sub-screens)
You can try the preview now by clicking the "Switch to instances explorer" button in the top-right of the instances screen. You can switch back at any time.
We hope the new experience is easy to use and makes it simpler to find your instance settings. Please do send us your feedback!
Neo4j Aura Professional and Business Critical are now available in AWS eu-west-2, London.
You can now run Aura Professional and Business Critical workloads in London if your data needs to stay in the UK, or you want lower latency for UK-based workloads.
Get started today in the Aura Console or the Aura API.
Team Aura 🚀
Neo4j Aura Professional and Business Critical are now live in AWS Montreal (ca-central-1).
This release comes directly from customer feedback calling for more in-region options across the Americas, helping teams deploy Aura closer to their applications while meeting local data residency needs.
The Canada central region is now accessible through the Aura Console and Aura API.
Team Aura 🚀
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AuraDB Professional
AuraDB Business Critical
Virtual Graph in Public Preview
You can now create a virtual graph database that translates Cypher to SQL and pushes queries to BigQuery, Databricks and Snowflake. Virtual Graph is zero-copy, which means no ETL or data movement. You do get full Neo4j tooling (Browser, Bloom, GDS, Agents and MCP Server in Aura).
Virtual Graph is currently available to AuraDB Professional and Business Critical customers. It is currently free to use until the 1st of September, when billing will start, and instances will use Aura Credits based on the instance's memory size.
To get started: select Instances + New and Virtual graph, name your instance and select 'Add new data source', or re-use one of your existing ones.
Please note that Virtual Graph is billed according to their instance size.

Documentation is available here
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AuraDB Virtual Dedicated Cloud
AuraDB Professional
AuraDB Free
AuraDS Professional
AuraDS Enterprise
Neo4j Aura August 2026 Release
The Neo4j Aura August release has recently started to roll out, commencing on AuraDB Free and progressing to higher tiers later.
🚀 New Cypher 25 features
- Native UUID Support: Introduced the newUUIDtype alongside new constructor functions (uuid(),uuid(name :: STRING),uuid(mostSigBits :: INTEGER,leastSigBits :: INTEGER)) and helper functions (uuid.leastSignificantBits(),uuid.mostSignificantBits()).
- String Interpolation: You can now embed expressions directly within strings using the new literal syntaxs"..."orS"..."(enclosing expressions in{}).
- List Predicates in PBAC: Property-based access control rules now allow predicates to check for the presence of a value in a list property (e.g.,GRANT ... FOR (n) WHERE 'gold' IN n.clearanceLevels TO role). Property values can also now sit on the right-hand side of predicates (e.g.,WHERE 1 > n.level).
- Clearer Query Logs:LIMIT/SKIP INTEGERandLOAD CSV'sFIELDTERMINATOR STRINGare no longer considered sensitive and will show up unobfuscated in query logs.
🛠️ Bug Fixes
- Composite Database Subqueries: Fixed an issue where passing an outside variable into aCALLsubquery mistakenly injected it into everyWITHclause as a grouping key. This previously caused query rejections due to fake memory spikes (OOM errors) and returned empty results instead of a correct count of0when no data was found.
- Dynamic Property Assignment: Fixed a bug where dynamic property targets could incorrectly observe earlier assignments in the sameSETclause (e.g.,SET n['x'] = n.y, n['y'] = n.xnow correctly swaps values instead of duplicating one).
- Math Operations:null / 0now correctly returnsnullinstead of raising a division-by-zero error, aligning with the GQL specification.
- Subqueries: Fixed an issue where a loneUSEwas placed inside aCOUNT/EXISTSsubquery expression.
For full details of all updates and fixes in this release, as well as links to relevant documentation please visit: Release Notes: Neo4j Aura Database – August 2026
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Enterprise Studio
Neo4j Enterprise Studio 2026.08
The August release of Neo4j Enterprise Studio is available today. As always, we’re bringing the latest tool updates, plus a variety of operational improvements.
Enterprise Studio Features
- Added support for browser themes: users can now select a light or dark theme when viewing Enterprise Studio.
- Added support for storing secrets using Cloud Secret Managers.
- Changed default role mapping for Studio creators to be universally applicable to all Neo4j deployments.
- Improved robustness and consistency of error handling in all Enterprise Studio components.
Tool-specific features
- Bloom: Improved support for Virtual Graph databases.
- Bloom: Better display for long search phrases, fixes to parameter highlighting.
- Dashboards: Added rule-based styling for tabular data.
- Dashboards: A dashboard can now be viewed in a fullscreen presentation mode.
Documentation changes
- Expanded requirements on session affinity when using HTTP with a Neo4j cluster.
- Added instructions on enabling Horizontal Pod Autoscaling in Kubernetes.
- Expanded documented on OIDC flows.
- Added instructions for testing Enterprise Studio with a local Docker setup.
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