Sync data from Kubernetes to Neo4j

CloudQuery is the simple, fast data integration platform that can fetch your data from Kubernetes APIs and load it into Neo4j

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Fast and reliable

CloudQuery’s efficient design means our syncs are fast and a sync from Kubernetes to Neo4j can be completed in a fraction of the time compared to other tools.

Easy to use, easy to maintain

Kubernetes syncing using CloudQuery is easy to set up and maintain thanks to its simple YAML configuration. Once synced, you can use normal SQL queries to work with your data.

A huge library of supported destinations

Neo4j isn’t the only place we can sync your Kubernetes data to. Whatever you need to do with your Kubernetes data, CloudQuery can make it happen. We support a huge range of destinations, customizable transformations for ETL, and we regularly release new plugins.

Extensible and Open Source SDK

Write your own connectors in any language by utilizing the CloudQuery open source SDK powered by Apache Arrow. Get out-of-the-box scheduling, rate-limiting, transformation, documentation and much more.

Ready to get started?

Self-hosted

Run anywhere from your local machine, a Virtual Machine or Kubernetes. Full instructions on CLI setup are available in our documentation.

Step-by-step Instructions

Cloud-hosted

Start syncing in a few clicks. No need to deploy your own infrastructure.

Try CloudQuery Cloud

Step by step guide for how to export data from Kubernetes to Neo4j

MacOS Windows Linux

MacOS Setup

Step 1. Install CloudQuery

brew install cloudquery/tap/cloudquery

cloudquery login

Step 3. Run CloudQuery Init

cloudquery init --source=k8s --destination=neo4j

This will generate a config file named k8s_to_neo4j.yaml. Follow the instructions to fill out the necessary fields to authenticate against your own environment.

Step 4. Run a Sync

cloudquery sync k8s_to_neo4j.yaml

See the CloudQuery documentation portal for more deployment guides, options and further tips.