Follow up on the latest improvements and updates.

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August 1, 2025

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.

July 8, 2025

new

AuraDB Virtual Dedicated Cloud

AuraDS Enterprise

Browser.neo4j.io

Query

Upcoming changes to Neo4j Browser

In the last couple of years, we’ve completely rebuilt our Cypher querying capability under the “Query” tab of Aura Console. It brings a large number of improvements over the old Neo4j Browser, including:
New Cypher editor with more accurate syntax highlighting, completions and linting support
Richer table visualization with virtualized rendering to improve responsiveness at scale
More scalable graph visualization
New history with quick search
Improved saved Cypher experience
New parameter setting UI
New built-in searchable Cypher reference
Overhauled parameters support
New styling support
General overall stability improvements
This same capability, built as a standalone Browser application has been available as an opt-in preview for some time:
Since Neo4j version 2025.05, the new Browser is now the default experience for those running Browser on localhost and is available integrated into the recently released Desktop v2.
From Neo4j 2025.08
, scheduled for release at the end of August, we’ll be making the switch for all remaining browser users including AuraDB Virtual Dedicated Cloud and AuraDS Enterprise customers accessing Browser at <dbid>.databases.neo4j.io/browser. No changes are required to SSO configurations since both versions will be served under the same /browser
 path. To ensure a smooth migration, the previous version of the Browser will remain accessible for a limited time.
We hope you enjoy the new Browser and if you have any feedback, please don’t hesitate to reach out at feedback.neo4j.com.

June 24, 2025

new

AuraDB Virtual Dedicated Cloud

AuraDB Professional

AuraDB Free

Data Importer

AuraDB Business Critical

Import from Databricks

We're pleased to announce that the Import service now supports Databricks. You'll find the new option when adding a data source option under Data services > Import.
To get started, ensure you have a Personal Access Token (PAT) configured, then configure the connection form with details for your warehouse, catalog, schema and PAT.
As always, we'd love to hear any feedback. Please head here to share your thoughts.

June 9, 2025

new

AuraDB Virtual Dedicated Cloud

AuraDB Professional

AuraDB Free

Data Importer

Import from BigQuery and VDC support

BigQuery
We're pleased to announce that the Import service now supports BigQuery. You'll find the new option when adding a data source option under Data services > Import
To get started, simply provide your Project ID and Dataset Name along with your Service Account Key JSON.
Virtual Dedicated Cloud (VDC) Support 
We've also now enabled the import service for VDC instances, so import is now available across all Aura tiers.
Note: At present, instances with private connection enabled are not supported.
As always, we'd love to hear any feedback. Please head here to share your thoughts.

March 26, 2025

new

AuraDB Professional

AuraDB Free

Data Importer

Import

AuraDB Business Critical

New in Neo4j AuraDB: Direct Import from Cloud Data Warehouses

We’re making it easier to bring your data into Neo4j AuraDB! The Import Service now supports direct connections to Snowflake alongside existing CSV and relational database imports. BigQuery and Databricks support will be coming next.
A new AI-powered schema analysis helps infer primary and foreign keys—even when they’re not explicitly defined—automating graph model generation. This means faster, more seamless imports from your enterprise data ecosystem.
Get started today in the Aura Console under Import Service. Read more in the blog post.

October 30, 2024

new

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.

September 3, 2024

new

AuraDB Virtual Dedicated Cloud

AuraDB Professional

AuraDB Free

Browser.neo4j.io

Browser 5.24.0 released

This is a maintenance release, fixing an issue where node expansion was run against the incorrect database.

August 20, 2024

new

AuraDB Virtual Dedicated Cloud

AuraDS Enterprise

Bloom.neo4j.io

Upcoming Changes to Bloom

What's changing?

On September 23, 2024 we’ll be updating Bloom on Aura to the latest version. Note that this new version of Bloom is built on a new framework that handles connections to the database, including Single Sign-on (SSO) authentication.

Should I take any action?

While every effort has been made to confirm compatibility with our Enterprise customers’ SSO configurations, we recommend verifying that your current SSO configuration will work with Bloom after the update.

You can try the latest version now at https://explore.neo4j.io !

Note that it may be necessary to configure your SSO Identity Provider (IdP) to authenticate https://explore.neo4j.io before testing.

We also highly recommend creating a backup of any Bloom Perspectives

in use prior to trying the new version. To do so, you can activate ‘Experimental features’ in Bloom’s Settings (available via the settings icon on the bottom left at http://bloom.neo4j.io) and then select ‘Export All Perspectives’ from the Experimental Settings icon that will appear as a beaker in the left menu bar. You can alternatively export individual Perspectives using the three-dot menu at the top right of each Perspective in Bloom’s Perspective Gallery.

What if I encounter issues?

We certainly hope that won't happen, but should you encounter any issues with the latest version of Bloom after the update, you can continue using the old version by adding /2.11.0/ between https://bloom.neo4j.io/ and the rest of the connection URL (e.g. https://bloom.neo4j.io/2.11.0/index.html?connectURL=[dburl]). Similar to testing on https://explore.neo4j.io, it may be necessary to configure SSO IdPs to accept the https://bloom.neo4j.io/2.11.0/index.html URL which includes /2.11.0/ in the event that you experience issues with the new version and need to revert to Bloom 2.11.0.

Note that Bloom’s current version will continue to also be available at http://bloom.neo4j.io/current/ and the previous version is available at http://bloom.neo4j.io/previous/ . It is also recommended to include these URLs as part of your SSO configuration to make it easier to revert, if needed.

May 8, 2024

new

AuraDB Virtual Dedicated Cloud

AuraDB Professional

AuraDB Free

Data Importer

New in Data Importer - Node property indexes

The latest release of Data Importer brings support for node property indexes. For properties you refer to frequently, indexes can  speed up your queries dramatically. It's now possible to configure indexes directly in data importer. You'll find the UI to configure indexes in the details panel:
Read the docs to learn more!

January 17, 2024

improved

AuraDB Professional

AuraDB Free

Data Importer

Import

Data Importer - Preview and Files panel updates

This release of Data Importer brings a number of small changes that make using Data Importer that little bit easier :
Preview graph visualisation
The Import preview is now the last part of Workspace to migrate from the old visualisation to the new one used in Explore and Query.  As well as being more visually consistent, it's now more responsive and easier to navigate.
We'll be exploring upping the limits on the number of preview nodes, do leave us feedback if you think that'd be useful.
Files panel
Files are now sorted alphabetically, making files easier to locate in longer lists.
Files can now be globally expanded and collapsed making it easier to work with longer lists.
That's all for now. We're working on some big new capabilities in import, more on that to follow in the coming months 😀. As always keep your feedback coming on feedback.neo4j.com.

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