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# Run A Managed Graph Database And Predict Connections With Amazon Neptune

**[API Evangelist](https://daily.dev/sources/apievangelist)** · 4 min read · 0 upvotes · 0 comments

## Summary

Amazon Neptune is a fully managed graph database for applications that work with highly connected datasets. It supports property graph and RDF models, queried with Gremlin, SPARQL or openCypher. Neptune ML applies machine learning to a graph to predict unrecorded links, such as between two accounts. APIs.io catalogs 25 workflows for Neptune, covering cluster management, bulk loading from S3, and model training and deployment through its API. Neptune is a paid, hosted AWS service.

## Full article

daily.dev links to this article rather than hosting it. Read it at the original source: <https://apievangelist.com/2026/10/28/run-a-managed-graph-database-and-predict-connections-with-amazon-neptune>

## Questions this post answers

### What query languages does Amazon Neptune support?

Amazon Neptune supports Gremlin and openCypher for the property graph model, and SPARQL for the RDF model. This lets developers choose the graph modeling approach and query style that fits their existing tooling or team experience when building on a fully managed graph database.

_Comparing graph query languages before committing? Track Neptune updates and comparisons on daily.dev._

### How do I predict unrecorded links between accounts in a graph database using machine learning?

Neptune ML lets you train machine learning models on graph data to predict connections, such as a likely but unrecorded link between two accounts. The workflow involves calling POST /ml/dataprocessing to prepare graph data stored in S3, then POST /ml/modeltraining to train a model, and POST /ml/endpoints to deploy it for predictions.

_Building fraud or recommendation link-prediction pipelines? Follow graph ML workflows like this on daily.dev._

### Can I stop and start an Amazon Neptune database cluster to save on costs?

Yes, Neptune clusters can be stopped and restarted through the API using POST /?Action=StopDBCluster to pause a running cluster and POST /?Action=StartDBCluster to resume it, without deleting the cluster entirely. This lets teams pause compute costs on clusters they aren't actively using.

_Managing cloud database spend? Keep up with managed database cost controls like this on daily.dev._

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---

Tags: [#machine-learning](https://daily.dev/tags/machine-learning), [#aws](https://daily.dev/tags/aws), [#architecture](https://daily.dev/tags/architecture)

[View this post on daily.dev](https://daily.dev/posts/run-a-managed-graph-database-and-predict-connections-with-amazon-neptune-g7f7alybr)

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