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Sync data from Azure to Neo4j

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

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

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Table of Contents

MacOS Setup

Step 1: Install CloudQuery

To install CloudQuery, run the following command in your terminal:

brew install cloudquery/tap/cloudquery

Step 2: Create a Configuration File

Next, run the following command to initialize a sync configuration file for Azure to Neo4j:

cloudquery init --source=azure --destination=neo4j

This will generate a config file named azure_to_neo4j.yaml. Follow the instructions to fill out the necessary fields to authenticate against your own environment.

Step 3: Log in to CloudQuery CLI

Next, log in to the CloudQuery CLI. If you have't already, you can sign up for a free account as part of this step:

cloudquery login

Step 4: Run a Sync

cloudquery sync azure_to_neo4j.yaml

This will start syncing data from the Azure API to your Neo4j database! 🚀

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

FAQs

What is CloudQuery?
CloudQuery is an open-source tool that helps you extract, transform, and load cloud asset data from various sources into databases for security, compliance, and visibility.
Why does CloudQuery require login?
Logging in allows CloudQuery to authenticate your access to the CloudQuery Hub and monitor usage for billing purposes. Data synced with CloudQuery remains private to your environment and is not shared with our servers or any third parties.
What data does CloudQuery have access to?
CloudQuery accesses only the metadata and configurations of your cloud resources that you specify without touching sensitive data or workloads.
How is CloudQuery priced?
CloudQuery offers flexible pricing based on the number of cloud accounts and usage. Visit our pricing page for detailed plans.
Is there a free version of CloudQuery?
Yes, CloudQuery offers a free plan that includes basic features, perfect for smaller teams or personal use. More details can be found on our pricing page.
What data can CloudQuery sync from Azure to Neo4j?
The CloudQuery Azure Integration can sync a wide variety of Azure data to Neo4j. You can also limit the data that is synced to data contained in a particular subscription.
What permissions does the CloudQuery Azure Integration require?
We recommend that you only grant read permissions to the integration as this is all that you will require to sync your data from Microsoft Azure to Neo4j. As this is a source integration, CloudQuery will never write information to Azure.
Can I rate limit the requests that CloudQuery makes to the Azure API?
If you would like to reduce the number of requests that CloudQuery can make to the API when it is syncing data from Azure to Neo4j then you can set a rate limit in your account. These are managed on a per-subscription basis and further information can be found here.
What is the Neo4j Destination integration for CloudQuery?
The Neo4j Destination integration allows you to send cloud asset data collected by CloudQuery into a Neo4j graph database, enabling you to model and analyze relationships between cloud resources in a highly visual and interconnected format.
How can I use the Neo4j Destination integration for cloud asset inventory management?
By integrating CloudQuery with Neo4j, you can visualize and explore relationships between cloud assets, such as how virtual machines, networks, and storage interact, making it easier to manage your cloud asset inventory.
Is the Neo4j integration suitable for large-scale multi-cloud environments?
Yes, the Neo4j integration is designed to handle large datasets and complex cloud environments, making it a great tool for analyzing and managing assets across multi-cloud deployments.

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