Changelog
Follow up on the latest improvements and updates.
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AuraDB Virtual Dedicated Cloud
AuraDB Professional
New Console
AuraDB Business Critical
Unlock the Potential of Vector Search with Neo4j Aura
We’re excited to introduce a new memory-optimized configuration for Neo4j Aura, purpose-built to enhance vector search. This latest update is designed to help you fast, efficient query results, with even larger datasets.
What’s new?
Neo4j Aura now offers an optional configuration that reallocates memory to prioritize your vector index, enabling:
- More data, same performance:Load up to twice as much data without compromising query speed.
- Smaller instance, same capability:Achieve consistent performance with a smaller instance size.
Whether you're looking to scale your dataset or improve efficiency, this configuration ensures your vector search needs are met with reliable performance and flexibility.
Why it matters
Performance in vector search relies on memory availability for indexing. By reserving additional memory for the vector index, Neo4j Aura helps you navigate the performance challenges associated with large datasets. Early testing has shown steady performance up to the point there’s simply no more storage available on disk for more vectors.
Getting started
The vector-optimized configuration is now available for instances with 4GB or more of memory. Switching to this option is as simple as editing the configuration of your existing instance, or setting it when creating a new instance
P.S. Curious about the technical details? Dive deeper into how vector-optimized configurations work and the benefits they unlock here
new
AuraDB Virtual Dedicated Cloud
AuraDB Professional
AuraDB Free
AuraDS Professional
AuraDS Enterprise
AuraDB Business Critical
Adaptive Email MFA enabled for all Aura customers
We’re pleased to introduce Adaptive Email MFA—a new security feature designed to enhance account protection across all Neo4j Aura tiers (Free, Professional, Business Critical, and Virtual Dedicated Cloud). Adaptive MFA challenges you with a second factor of authentication only when it detects unusual sign-in activity, ensuring a more seamless experience without compromising on security.
Key Benefits
- Increased Baseline Security:Adaptive MFA continuously evaluates the risk of login attempts, providing an additional layer of protection against unauthorized access.
- Reduced MFA Prompts:For day-to-day logins from familiar devices and locations, you’ll see fewer MFA challenges, resulting in a smoother login process.
- Applies to All Aura Tiers:This improvement benefits every Aura user, maintaining a consistent level of security across all service levels.
How Adaptive MFA Works
Adaptive MFA monitors multiple factors to determine if a login attempt warrants an MFA challenge, some of which include:
- New Device:If you log in using a device you haven’t used in the last 30 days, the system lowers its confidence score and triggers an MFA prompt.
- Impossible Travel:If your login location changes so drastically that it suggests “impossible travel” (beyond what’s realistically achievable), an MFA prompt is triggered.
- Untrusted IP:If your IP address is flagged as untrustworthy, you’ll be asked to complete an MFA challenge.
Who Is Affected
Adaptive MFA applies to all users who log in to Neo4j Aura with a username and password. If you typically access Aura from the same device, browser, and location, you’ll rarely encounter additional MFA challenges.
No Action Required
This feature is non-disruptive and will be enabled automatically. Users do not need to take any steps to benefit from enhanced security and a more convenient login experience.
For more information or assistance, please contact our support team. We’re committed to keeping your Neo4j Aura environment secure and easy to use.
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improved
AuraDB Virtual Dedicated Cloud
AuraDB Professional
AuraDB Free
AuraDS Professional
AuraDS Enterprise
AuraDB Business Critical
Aura CLI - open beta
I’m pleased to announce the open beta for the new, Go-based Aura CLI.
You can find it here: https://github.com/neo4j/cli/releases, with native binaries available for all major platforms.
Feedback is welcome via the GitHub issue page here: https://github.com/neo4j/cli/issues.
The Aura CLI will replace the Labs Aura CLI and offers equivalent functionality, with the addition of commands for customer-managed keys (CMK).
The open beta will run for a short period before GA at the end of December 2024. At that time, the Labs Aura CLI will become read-only and marked as deprecated. It will still be installable and usable, but you are advised to transition to the new Aura CLI.
Thank you, and I look forward to your feedback!
Jonathan Giffard
PM, Drivers, CLI, GraphQL & Query API
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AuraDS Professional
AuraDS: On-demand Snapshot retention update
We are updating all AuraDS users about an upcoming change to the snapshot retention policy for Neo4j AuraDS instances.
Effective from
13 January 2025
onwards, new and existing user-initiated ‘on-demand’ snapshots will now be retained for 30 days
from the date of creation.What is an AuraDS snapshot?
A snapshot is a copy of the data in your instance at a specific point in time. They are listed in the
Snapshots
tab of the AuraDS instance. Neo4j regularly takes snapshots of your AuraDS instance, and you can request a snapshot to be taken on-demand.What is changing?
We currently retain AuraDS user-initiated 'on-demand' snapshots for 180 days. From after 13 January 2025 we will retain these for 30 days, and this will be applicable for both newly created and existing user-initiated snapshots.
Why is it changing?
To better align with AuraDB and ensure consistency across our Aura Tiers, we are refining our backup retention policy to establish a standard approach.
Will there be any changes to scheduled snapshots?
The retention period for scheduled snapshots is currently 7 days and will remain unchanged at this time.
Who can I contact for more information?
If you have any further questions, please don’t hesitate to reach out to our support team.
Thanks
The Aura Team
new
AuraDS Enterprise
AuraDS Enterprise: On-demand Snapshot retention update
We are updating all AuraDS Enterprise users about an upcoming change to the snapshot retention policy for Neo4j AuraDS Enterprise instances.
Effective from
13 January 2025
onwards, new and existing user-initiated ‘on-demand’ snapshots will now be retained for 90 days
from the date of creation.What is a Neo4j AuraDS snapshot?
A snapshot is a copy of the data in your instance at a specific point in time. They are listed in the
Snapshots
tab of the AuraDS Enterprise instance. Neo4j regularly takes snapshots of your AuraDS Enterprise instance, and you can request a snapshot to be taken on-demand.What is changing?
We currently retain AuraDS Enterprise user-initiated 'on-demand' snapshots for 180 days. From after 13 January 2025 we will retain these for 90 days, and this will be applicable for both newly created and existing user-initiated snapshots.
Why is it changing?
To better align with AuraDB and ensure consistency across our Aura Tiers, we are refining our backup retention policy to establish a standard approach.
Will there be any changes to scheduled snapshots?
The retention period for scheduled snapshots is currently 14 days and will remain unchanged at this time.
Who can I contact for more information?
If you have any further questions, please don’t hesitate to reach out to our support team.
Thanks
The Aura Team
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Advanced Warning Aura Platform
AuraDB Virtual Dedicated Cloud
AuraDB Professional
AuraDB Free
AuraDS Professional
AuraDS Enterprise
AuraDB Business Critical
Aura API rate limiting update!
We currently set a global rate limit of
125 requests per minute
per client ID for all Aura API endpoints.Starting 27 Jan 2025, we will adjust the rate limiting for the Aura API /oauth/token endpoint, which is used to obtain authorization tokens. The new limit will be set to
15 requests per hour
. Since each authorization token remains valid for one hour, we recommend optimizing your API usage in advance by following these steps:
- Retrieve the token once per hour: As tokens remain valid for an hour, reduce the frequency of token requests and reuse the same token for multiple API calls.
- Implement token caching: Store the token securely within your system to reuse it for subsequent requests during its validity period, minimizing unnecessary calls to the endpoint.
If you need additional guidance or help, please reach out to Neo4j Aura Support. Our priority is to ensure fair and equitable access to our APIs for all customers.
We will provide confirmation of this update in January, along with a link to the relevant documentation. Rate limiting for other endpoints will remain unchanged at this time.
Thank you,
The Aura Team
new
AuraDB Virtual Dedicated Cloud
AuraDB Professional
AuraDB Free
AuraDS Professional
AuraDS Enterprise
AuraDB Business Critical
Neo4j Aura Database December release update!
The latest Neo4j Aura Database release has started to roll out, beginning on AuraDB Free, then progressing to higher tiers from later this week.
Updates include:
Language
- Added support for dynamic expressions in CREATE,MATCH, andMERGE.
- Enabled dynamic CSV column referencing in LOAD CSV.
- Deprecated HTTP API; use Query API for executing Cypher statements.
Fixes
- Kernel: Fixed issues with dense relationship property removal during recovery.
- Cypher: Fixed missing nodes in queries with indexes and null properties.
- Cypher: Resolved errors: key not found: VariableSlotKey and Type mismatch.
Full details of updates and fixes are available in the Neo4j Aura Release Notes
The Neo4j product team is pleased to announce regional expansion for AuraDB Professional, Business Critical and GDS. As of today Professional, Business Critical and GDS are all available in the following 22 regions, meaning you can run Aura services closer to your applications and business operations.
AWS
- ap-southeast-1
- eu-west-1
- eu-west-3
- sa-east-1
- us-east-1
- us-west-2
Azure
- brazilsouth
- eastus
- francecentral
- koreacentral
- uksouth
- westus3
GCP
- asia-east1
- asia-east2
- asia-southeast1
- australia-southeast1
- europe-west1
- europe-west2
- europe-west3
- us-central1
- us-east1
- us-west1
If you need a to run AuraDB Professional, Business Critical or GDS in a region that isn’t listed here, please let us know!
Team Aura 🚀
new
AuraDB Virtual Dedicated Cloud
AuraDB Professional
AuraDB Free
AuraDB Business Critical
AuraDB v4 to newest (v5): Migration readiness available
Neo4j Aura are pleased to announce the general availability of the
Migration Readiness
tool for AuraDB v4
customers. This tool will allow you to analyze your existing v4 workloads for compatibility with the newest (v5) version of Aura so you can implement any changes in readiness for the migration.We recommend that you plan to migrate onto the newest version of Aura to get the benefits of the new release. The features include:-
- New block storage format for better performance
- Parallel runtime for faster execution of analytical workloads
- Vector indices for semantic search & vector embeddings for GenAI use cases
- GQL improvements, including graph pattern matching for improved Cypher queries
- Attribute based access control gives fine grained security for read and traverse on property values
- Change Data Capture for data integration patterns
- Larger instance sizes
- Secondaries for read scalability
- And more…
AuraDB instances running v4 will soon have a new notification on the instance card in the console, advising that migration is recommended:-
New Aura Console
Follow the link to open the migration readiness report, where you can see the history of query execution and detected migration action items.
Select the time range (max. 24 hours) for analysis, and use the buttons to fetch deprecation logs. This will show details of the queries where amendment is required prior to migrating to the newest version. You can click the magnifier to see details, apply filters and link out to the query log analyzer.
Fetch deprecation logs can apply filters too
Clicking the magnifier provides details of the issue and resolution
You can also perform analysis of drivers and applications used to connect to your AuraDB v4 instance, and see which ones (if any) require an upgrade as part of migration.
Further details can be found in the documentation.
This tool is
free to use
and does not impact the operation of your database. We suggest you try it out to get an idea of how much preparation would be needed to be ready to migrate to the newest release of Aura and take advantage of the great new features. Once there are no detected issues, you can follow the documentation here to migrate your AuraDB instance.We look forward to welcoming you on to the newest release of AuraDB as part of your migration, where you can take advantage of all the new features this offers.
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AuraDB Free
Data Importer
🚀 Import from PostgreSQL
We’re pleased to announce the availability of our first new data source in the Console Preview. If you’re not already familiar with the Console Preview, head over to https://console-preview.neo4j.io.
With this release, you’ll see a new way of accessing import options under Data Services > Import. You’ll now find a new, more comprehensive set of data sources, the first becoming available being PostgreSQL, with more to follow soon. The existing CSV import option remains available.
Note: Your source database will need to be accessible over a public IP address to configure the data source.
Once successfully connected, you’ll be guided through steps to create a graph model and mapping ready for import. Whenever possible, constraints in your source database will be used to create a configuration automatically.
The graph models and mapping are saved for reuse under the Graph Models tab.
In contrast to the CSV import flow which streams files from your client machine, the import jobs for new data sources now run in Aura infrastructure. You can see the status of Import jobs in the corresponding tab and long-running import jobs continue running after you log out of the console.
Once you’re ready to see the results of your load, head over to Explore or Query to start interacting with your new graph.
If you have any feedback, head over to https://feedback.neo4j.com/data-importer to share your thoughts.
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