CloudQuery pricing guide details
Pricing Overview
CloudQuery uses a usage-based pricing model built around rows synced per year. Each time a data record is extracted from any source (AWS, GCP, Azure, or 70+ other integrations) and loaded into your destination database, it counts as one row synced. This applies whether the record is newly created or updated during a subsequent sync cycle.
The platform offers two distinct paths. The open-source CloudQuery CLI is free and self-hosted, giving teams full control over their infrastructure with unlimited connectors. The fully managed CloudQuery Platform bundles orchestration, cloud asset inventory, automation workflows, and AI-powered querying into a single service, but requires contacting sales for custom annual pricing based on expected row volume.
Subscriptions are billed annually, with custom multi-year terms available for large deployments. A free trial environment is available to test syncing from your actual sources before committing to production. If you exceed your annual row limit, you are billed only for the additional usage above your committed baseline, either through a true-up at renewal or as an add-on during the contract year.
Plan Comparison
CloudQuery offers two primary deployment options that serve different organizational needs and technical capabilities.
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| Feature | CloudQuery CLI (Free) | CloudQuery Platform (Custom) |
|---|---|---|
| Deployment | Self-hosted | Fully managed |
| Cloud Connectors | 70+ sources | 70+ sources |
| Destinations | Snowflake, BigQuery, Postgres, etc. | Snowflake, BigQuery, Postgres, etc. |
| Pricing Model | Free / open-source (MPL-2.0) | Usage-based (rows synced/year) |
| Billing Cycle | N/A | Annual |
| Free Trial | N/A | Yes |
| Cloud Asset Inventory | Manual setup required | Built-in unified dashboard |
| Query Interface | SQL only | SQL + AI-powered natural language |
| Automation & Workflows | DIY implementation | Event-driven workflows included |
| Policy Engine | Manual configuration | SQL-based guardrails included |
| Multi-Cloud Visibility | Requires manual integration | Unified cross-cloud dashboard |
| Compliance Monitoring | Self-managed | Continuous, audit-ready reports |
| Security Posture | Self-managed | Built-in assessment tools |
The CLI is designed for engineering teams comfortable managing their own infrastructure and building custom pipelines. It uses Go under the hood and has over 6,300 GitHub stars, reflecting strong community adoption. The managed Platform handles orchestration, monitoring, policy enforcement, and automation out of the box, making it better suited for governance and platform teams that need operational capabilities without building everything from scratch.
Support Tiers
CloudQuery provides four levels of support to match different operational requirements and incident severity needs.
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| Feature | Free | Silver | Gold | Platinum |
|---|---|---|---|---|
| Community Support | Yes | Yes | Yes | Yes |
| Private Support Portal | No | Yes | Yes | Yes |
| Slack Channel | No | Yes | Yes | Yes |
| Technical Account Manager | No | No | No | Add-on |
| Business Critical SLA | N/A | 4 hours | 4 hours | 1 hour |
| Degraded Service SLA | N/A | 48 hours | 12 hours | 4 hours |
| Other Issues SLA | N/A | 48 hours | 24 hours | 24 hours |
| Support Hours | Community only | Business hours | Business hours | 24/7 |
Business hours are 9 AM to 5 PM Pacific Time. The Platinum tier is the only option offering round-the-clock support and the ability to add a dedicated Technical Account Manager who provides implementation guidance and best practices within the defined service scope.
Hidden Costs and Considerations
Self-hosting the CloudQuery CLI eliminates licensing fees but introduces infrastructure costs for compute, storage, and database destinations like Snowflake or BigQuery, which have their own pricing models. Row-based pricing on the Platform tier means costs scale directly with sync frequency and the number of sources connected, so teams running frequent syncs across many accounts should model their expected row volumes carefully. Exceeding your annual row commitment triggers overage charges through a true-up or mid-year add-on. The Technical Account Manager service on Platinum support is an additional paid add-on beyond the support tier cost. Teams should also factor in engineering time for CLI deployments versus the managed Platform approach.
How CloudQuery Pricing Compares
CloudQuery occupies a distinct position in the data pipeline market, combining an open-source CLI with an enterprise-focused managed platform that specializes in cloud infrastructure, security, and compliance data. Here is how its pricing stacks up against other data pipeline tools in the same category.
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| Tool | Free Tier | Paid Starting Price | Pricing Model | Billing | Key Differentiator |
|---|---|---|---|---|---|
| CloudQuery | Open-source CLI (unlimited) | Contact sales | Usage-based (rows synced/year) | Annual | Cloud asset inventory, compliance, security |
| Airbyte | Open-source (self-hosted) | $20/mo (Cloud Standard) | Usage-based | Monthly | 600+ connectors, broad SaaS coverage |
| Stitch | Yes (1 user) | $100/mo | Row-based | Monthly | Simple setup, Talend ecosystem |
| Hevo Data | Limited connectors, up to 1M events/month | From $299/mo monthly or $265/mo billed annually; 5M events/month | Destination inserts, updates and deletes | Monthly or annual billing | No-code pipelines; paid connector catalog |
Published entry prices are not equivalent workload quotes. Hevo starts at $299/month billed monthly or $265/month billed annually for 5 million events/month. Events above quota cost extra; the public page does not publish an overage unit rate. Compare the same sources and change volume before drawing a cost conclusion. CloudQuery requires contacting sales for Platform pricing, which means costs depend on the negotiated annual row volume. However, the open-source CLI provides a genuinely free alternative for teams willing to self-host, similar to Airbyte's self-hosted model but with a different focus area.
Where CloudQuery stands apart from these competitors is its specialization in cloud infrastructure data. The built-in cloud asset inventory, continuous compliance monitoring, security posture assessment, SQL-based policy engine, and event-driven automation workflows are capabilities that Airbyte, Stitch, and Hevo Data do not offer. Teams that need general-purpose data integration may find better value with those alternatives, while organizations focused on cloud governance, security, and platform engineering will find CloudQuery's feature set more aligned with their needs. CloudQuery also supports querying across AWS, GCP, Azure, Kubernetes, and identity providers like Okta in a single unified view, which goes beyond what traditional ELT tools provide.