Amazon Neptune Engine version 1.5.0.0 (2026-10-13)
As of 2026-10-13, engine version 1.5.0.0 is being generally deployed. Please note that it takes several days for a new release to become available in every region.
New Features in This Engine Release
Fast bulk load (offline loader) for high-performance initial loads of large Gremlin CSV datasets into empty graphs. See the Fast bulk load (offline loader) documentation.
Storage management APIs: use the Neptune storage usage breakdown to analyze storage usage, and the Neptune online index rebuild to defragment and reclaim index storage while your database remains fully operational.
Gremlin upgrade to Apache TinkerPop 3.8.x. This includes updated Gremlin client minimum versions (Java 11+, Python 3.10+, Go 1.25+, .NET 6.0+), step behavior changes that improve consistency of the language, and new Gremlin features. Given the step behavior changes, it is important that you carefully review the TinkerPop Upgrade Documentation
to understand the semantics of Gremlin that have changed and how those changes will affect your existing queries. Given that these are semantic differences, the changes may not surface as errors, but rather change query results. You will need to decide if any of your queries are affected by these changes as part of your upgrade.
Improvements in This Engine Release
Gremlin improvements
Expanded Gremlin step coverage on the DFE query engine offering significantly wider query pattern support aligned with TinkerPop 3.8.x semantics. See Gremlin step coverage in DFE.
openCypher improvements
Added native support for the
all(),any(),none(), andsingle()predicate functions. These functions previously required list comprehension rewrites (see Rewriting None, All, and Any predicate functions).
Gremlin and openCypher improvements
Added DFE support for regex predicates in Gremlin and openCypher
General improvements
Improved query performance for openCypher and SPARQL queries that use variable assignments (such as
WITHclauses orBIND) across join groups, by enabling the query optimizer to make better join ordering decisions based on variables produced in earlier query stagesImproved slow query logging for openCypher queries executed via Bolt protocol with explicit transactions
Improved memory efficiency for DFE queries that process large intermediate result sets
pg_schemacomputation that is interrupted by an engine restart or failover transitions toPaused(rather thanStopped)
Defects Fixed in This Engine Release
openCypher
MERGEclauses now reject null property values instead of silently ignoring themFixed query timeout being incorrectly reported as an internal failure error
Fixed a query cancellation issue that could reduce the available query-memory budget
Fixed an issue where Neptune Serverless instances may not scale down after running queries
Query-Language Versions Supported in This Release
Before upgrading a DB cluster to version 1.5.0.0, make sure that your project is compatible with these query-language versions:
Gremlin earliest version supported:
3.8.0Gremlin latest version supported:
3.8.1openCypher version:
Neptune-9.0.20190305-1.1SPARQL version:
1.1
Upgrade paths to engine release 1.5.0.0
You can upgrade to this release from engine release 1.2.0.0 or above.
Upgrading to This Release
If a DB cluster is running an engine version from which there is an upgrade path to this release, it is eligible to be upgraded now. You can upgrade any eligible cluster using the DB cluster operations on the console or by using the SDK. The following CLI command will upgrade an eligible cluster immediately:
For Linux, OS X, or Unix:
aws neptune modify-db-cluster \ --db-cluster-identifier(your-neptune-cluster)\ --engine-version 1.5.0.0 \ --allow-major-version-upgrade \ --apply-immediately
For Windows:
aws neptune modify-db-cluster ^ --db-cluster-identifier(your-neptune-cluster)^ --engine-version 1.5.0.0 ^ --allow-major-version-upgrade ^ --apply-immediately
Instead of --apply-immediately, you can specify
--no-apply-immediately. To perform a major version upgrade, the
allow-major-version-upgrade parameter is required. Also, be sure to include
the engine version or your engine may be upgraded to a different version.
If your cluster uses a custom cluster parameter group, be sure to include this paramater to specify it:
--db-cluster-parameter-group-name(name of the custom DB cluster parameter group)
Similarly, if any instances in the cluster use a custom DB parameter group, be sure to include this parameter to specify it:
--db-instance-parameter-group-name(name of the custom instance parameter group)
Always test before you upgrade
When a new major or minor Neptune engine version is released, always test your Neptune applications on it first before upgrading to it. Even a minor upgrade could introduce new features or behavior that would affect your code.
Start by comparing the release notes pages from your current version to those of the targeted version to see if there will be changes in query language versions or other breaking changes.
The best way to test a new version before upgrading your production DB cluster is to clone your production cluster so that the clone is running the new engine version. You can then run queries on the clone without affecting the production DB cluster.
Always create a manual snapshot before you upgrade
Before performing an upgrade, we strongly recommend that you always create a manual snapshot of your DB cluster. Having an automatic snapshot only offers short-term protection, whereas a manual snapshot remains available until you explicitly delete it.
In certain cases Neptune creates a manual snapshot for you as a part of the upgrade process, but you should not rely on this, and should create your own manual snapshot in any case.
When you are certain that you won't need to revert your DB cluster to its
pre-upgrade state, you can explicitly delete the manual snapshot that you created
yourself, as well as the manual snapshot that Neptune might have created. If Neptune
creates a manual snapshot, it will have a name that begins with preupgrade,
followed by the name of your DB cluster, the source engine version, the target engine
version, and the date.
Note
If you are trying to upgrade while a pending action is in process, you may encounter an error such as the following:
We're sorry, your request to modify DB cluster (cluster identifier) has failed. Cannot modify engine version because instance (instance identifier) is running on an old configuration. Apply any pending maintenance actions on the instance before proceeding with the upgrade.
If you encounter this error, wait for the pending action to finish, or trigger a maintenance window immediately to let the previous upgrade complete.
For more information about upgrading your engine version, see Maintaining your Amazon Neptune DB Cluster. If you have any questions or concerns, the AWS Support
team is available on the community forums and through AWS Premium Support