Announcing CloudQuery as an Official AWS Partner

We are excited to announce that CloudQuery has officially been recognized as a member of the AWS Partner Network. From this partnership program, we're looking forward to continued development on extracting, transforming, and loading data from AWS APIs to a variety of supported destinations that include databases, data lakes, and streaming platforms for further analysis. CloudQuery supports multiple use cases built on top of this data platform including security, cost optimization, infrastructure, and development.

We have an exciting roadmap ahead of new features and improvements. Stay tuned!

Highlights

• CloudQuery was recently featured on an AWS live streamed data show, Let's Talk About Data, Let's talk about data | EP16 | Managing Infrastructure Data with CloudQuery.
• Part of the partner process involved us working with AWS to complete multiple steps including an AWS Foundational Technical Review to ensure our offerings meet AWS's stringent technical requirements and provide value to customers.

How CloudQuery works with Amazon Web Services

CloudQuery supports a variety of source integrations and destination integrations. By using these source integrations and destinations, information from AWS configurations and deployments can be synced. Additionally, infrastructure data from a variety of sources can be synced to AWS-related and hosted data destinations.

Sources

CloudQuery source integrations include the following AWS integrations:

• AWS
• AWS Pricing
• File (can sync from S3)

Destinations

CloudQuery supports the following AWS-related destination integrations:

• Amazon Kinesis Firehose
• Gremlin (AWS Neptune)
• RDS Compatible databases including PostgreSQL, MySQL.
• S3

Policies and Dashboards

CloudQuery supports additional compliance frameworks including:

• AWS Cost Optimization
• AWS CIS Benchmarks
• AWS PIC DSS
• AWS Foundational Security Best Practices
• Custom security frameworks including publicly available resources in AWS
• Unused Resources in AWS
• Kubernetes

Please see our links for policies and dashboards for more information about these offerings:

• Policies
• Dashboards

Use Cases

CloudQuery supports multiple use cases including security, cost optimization, infrastructure, and development. Below is a sampling of the use cases that can be built with CloudQuery with AWS infrastructure data:

• Open Source Cloud Security Posture Management (CSPM)
• Open Source Attack Surface Management with Neo4j (ASM)
• Analyzing AWS Cost and Usage Data
• Managing AWS Resource and Usage Limits
• Managing Resilience Strategy with AWS Backup

Get Started

Want to see CloudQuery in action? Schedule a demo with our team or check out the platform documentation to learn more.

Want help getting started? Join the CloudQuery community to connect with other users and experts, or message our team directly here if you have any questions.