Decision comparison
CloudQuery vs Fivetran
CloudQuery and Fivetran are both ELT-oriented data pipeline tools, but they serve fundamentally different audiences and use cases. CloudQuery is purpose-built for platform engineering and governance teams that need to query, monitor, and automate multi-cloud infrastructure using SQL-based policies and event-driven workflows. Fivetran is purpose-built for data and analytics teams that need reliable, zero-maintenance data movement from hundreds of business applications into cloud warehouses. The right choice depends entirely on whether your primary data challenge is infrastructure visibility and governance or business data centralization and analytics.
Direct comparison. These are reviewed substitutes bought for the same job, so the differences below are the ones that decide between them.
All 2 are ELT platforms.
Quick Comparison
| Decision factor | CloudQuery | Fivetran |
|---|---|---|
| Primary Focus | Cloud asset inventory, infrastructure governance, and operational automation | Automated data movement from SaaS, databases, and events to warehouses and lakes |
| Architecture | Open-source ELT framework written in Go; self-hosted CLI or fully managed platform | Fully managed SaaS platform with automated pipelines and zero infrastructure management |
| Connector Count | 70+ sources focused on cloud providers, security tools, and infrastructure platforms | 700+ fully managed connectors spanning SaaS, databases, ERPs, files, and event streams |
| Pricing Model | The CloudQuery CLI is open source under MPL 2.0 and free to self-host. The hosted platform bills on usage, which CloudQuery describes as priced solely on what you consume; no rate is published, and a free trial is offered. | Fivetran is consumption-priced on monthly active rows and quoted through its own estimator. The plans are Free, Standard, Enterprise and Business Critical. The Free plan covers up to 500,000 monthly active rows for connections, 3,500 for activations and 5,000 model runs. Fivetran advertises savings of up to 22% on an annual contract. No per-plan price is published. |
| Deployment Options | Self-hosted CLI or fully managed CloudQuery Platform | Fully managed SaaS or hybrid deployment within your own environment |
| Best For | Platform engineering and governance teams managing multi-cloud infrastructure | Data and analytics teams centralizing business data for reporting, AI, and operational workflows |
CloudQuery
- Primary Focus:
- Cloud asset inventory, infrastructure governance, and operational automation
- Architecture:
- Open-source ELT framework written in Go; self-hosted CLI or fully managed platform
- Connector Count:
- 70+ sources focused on cloud providers, security tools, and infrastructure platforms
- Pricing Model:
- The CloudQuery CLI is open source under MPL 2.0 and free to self-host. The hosted platform bills on usage, which CloudQuery describes as priced solely on what you consume; no rate is published, and a free trial is offered.
- Deployment Options:
- Self-hosted CLI or fully managed CloudQuery Platform
- Best For:
- Platform engineering and governance teams managing multi-cloud infrastructure
Fivetran
- Primary Focus:
- Automated data movement from SaaS, databases, and events to warehouses and lakes
- Architecture:
- Fully managed SaaS platform with automated pipelines and zero infrastructure management
- Connector Count:
- 700+ fully managed connectors spanning SaaS, databases, ERPs, files, and event streams
- Pricing Model:
- Fivetran is consumption-priced on monthly active rows and quoted through its own estimator. The plans are Free, Standard, Enterprise and Business Critical. The Free plan covers up to 500,000 monthly active rows for connections, 3,500 for activations and 5,000 model runs. Fivetran advertises savings of up to 22% on an annual contract. No per-plan price is published.
- Deployment Options:
- Fully managed SaaS or hybrid deployment within your own environment
- Best For:
- Data and analytics teams centralizing business data for reporting, AI, and operational workflows
Public signals
Verified factual signals only. Bars appear only for like-for-like metrics with five weekly assessments for every tool; missing evidence stays explicit. These signals do not establish enterprise adoption, product quality, or total cost.
| Metric | CloudQuery | Fivetran |
|---|---|---|
| GitHub commits, 90d(Product adoption) | 348 | Not available |
| GitHub stars(Product adoption) | 6,500+ | Not available |
| Search interest(Market interest) | Unavailable | 1 |
| Product Hunt comments(Community interest) | 1 | 9 |
| Product Hunt rating(Community interest) | Unavailable | 5.0/5 |
| Product Hunt reviews(Community interest) | 0 | 1 |
| Product Hunt votes(Community interest) | 7 | 85 |
| GitHub commits, 90d(Developer adoption) | Not available | 19 |
| GitHub stars(Developer adoption) | Not available | 134 |
| Hacker News mentions, 90d(Community interest) | Not available | 3 |
| PyPI weekly downloads(Developer adoption) | Not available | 29.0k |
| Stack Overflow questions(Community interest) | Not available | 22 |
As of September 21, 2026 — updated weekly.
Health & risk evidence
Observed public-source checks for mapped package versions and repositories.
CloudQuery
September 21, 2026Package vulnerabilities
Not available
Repository security score
github.com/cloudquery/cloudquery
5.4/10
Fivetran
September 21, 2026Package vulnerabilities
PyPI · fivetran-connector-sdk@2.12.1
0 vulnerabilities
across 1 package
Repository security score
Not available
Feature Comparison
| Feature | CloudQuery | Fivetran |
|---|---|---|
| Data Ingestion & Connectors | ||
| Pre-built Connector Library | 70+ sources focused on cloud providers (AWS, GCP, Azure), security tools, and infrastructure platforms | 700+ fully managed connectors covering SaaS apps, databases, ERPs, files, and event streams |
| Custom Connector Support | Build custom plugins in Go using the CloudQuery SDK; open-source plugin ecosystem | Connector SDK for building custom sources; by-request program where Fivetran builds connectors for you |
| Change Data Capture (CDC) | Incremental syncs supported; CDC not a primary focus given infrastructure data orientation | Log-based CDC replication for efficient database syncs with minimal source impact |
| Schema & Data Management | ||
| Schema Evolution | Normalized schemas with consistent naming across cloud providers; schema managed via plugin updates | Automatic schema evolution handling with 22.2 million schema changes managed per month across the platform |
| Data Transformation | SQL-based querying and policy evaluation on synced data; transformations handled downstream | Built-in dbt integration with Quickstart data models; 37.7 million transformation model runs per month |
| Cloud Infrastructure & Governance | ||
| Cloud Asset Inventory | Core capability: unified inventory across AWS, GCP, Azure, Oracle, Alibaba, Kubernetes, and 50+ integrations | Not offered; Fivetran focuses on data movement rather than infrastructure visibility |
| Policy Engine | SQL-based detective policies for detecting misconfigurations, tag compliance, and security violations across all infrastructure | Not applicable; Fivetran is a data movement platform without infrastructure policy capabilities |
| Infrastructure Automation | Event-driven workflows triggered by drift, cost spikes, or security findings with webhook integrations | Pipeline scheduling and orchestration; not designed for infrastructure automation |
| Security & Compliance | ||
| Security Certifications | Support tiers (Silver, Gold, Platinum) with SLA-backed response times; security details via Contact Sales | SOC 1 and 2, GDPR, HIPAA BAA, ISO 27001, PCI DSS Level 1, and HITRUST certifications |
| Encryption & Access Control | Self-hosted deployment keeps data in your environment; platform security details available on request | SSH tunnels, VPN tunnels, customer-managed encryption keys, private networking, and SCIM provisioning |
| Security Posture Management | Continuous compliance monitoring, security posture assessment, and audit-ready reports across cloud estate | Not applicable; Fivetran secures its own platform but does not assess customer infrastructure security |
| Platform & Operations | ||
| Deployment Model | Open-source CLI for self-hosting or fully managed CloudQuery Platform | Fully managed SaaS with hybrid deployment option for data-sensitive environments |
| AI / Natural Language Query | Natural language or SQL querying of cloud infrastructure; AI-powered query assistant for instant answers | No built-in AI query interface; focuses on automated data movement rather than querying |
| Monitoring & Observability | Real-time cloud visibility with relationship mapping and contextual resource views | Reliability dashboards with sync health logs, alerts, and schema change notifications |
Data Ingestion & Connectors
Pre-built Connector Library
Custom Connector Support
Change Data Capture (CDC)
Schema & Data Management
Schema Evolution
Data Transformation
Cloud Infrastructure & Governance
Cloud Asset Inventory
Policy Engine
Infrastructure Automation
Security & Compliance
Security Certifications
Encryption & Access Control
Security Posture Management
Platform & Operations
Deployment Model
AI / Natural Language Query
Monitoring & Observability
Which to choose
CloudQuery and Fivetran are both ELT-oriented data pipeline tools, but they serve fundamentally different audiences and use cases. CloudQuery is purpose-built for platform engineering and governance teams that need to query, monitor, and automate multi-cloud infrastructure using SQL-based policies and event-driven workflows. Fivetran is purpose-built for data and analytics teams that need reliable, zero-maintenance data movement from hundreds of business applications into cloud warehouses. The right choice depends entirely on whether your primary data challenge is infrastructure visibility and governance or business data centralization and analytics.
Best-fit scenarios
Choose CloudQuery if:
Choose CloudQuery if your primary need is cloud infrastructure visibility and governance. The platform delivers unified asset inventory across AWS, GCP, Azure, Kubernetes, and 50+ integrations, with SQL-based policies for detecting misconfigurations and event-driven automation for responding to drift, cost spikes, and security findings. Its open-source CLI with over 6,300 GitHub stars gives teams full control over deployment, and the managed platform adds enterprise support. CloudQuery is the right fit for platform engineering, DevOps, and security teams managing complex multi-cloud estates who need to answer infrastructure questions with SQL and automate operational responses.
Choose Fivetran if:
Choose Fivetran if your primary need is centralizing business data for analytics, AI, and operational workflows. With 700+ fully managed connectors, automatic schema evolution, log-based CDC, built-in dbt integration, and enterprise security certifications including SOC 2, HIPAA, and PCI DSS Level 1, Fivetran removes the engineering burden of pipeline maintenance entirely. The free tier with 500,000 monthly active rows lets teams start without a sales conversation, and the platform scales to handle petabytes of data per month. Fivetran is the right fit for data teams, analytics engineers, and business intelligence teams that need reliable, automated data movement from SaaS apps, databases, and ERPs into their warehouse or lake.
These scenarios reflect the available product evidence. Your requirements, existing stack, and team expertise should guide the final decision.
Frequently Asked Questions
What is the main difference between CloudQuery and Fivetran?
CloudQuery is an open-source ELT framework designed to extract data from cloud APIs and infrastructure sources to build a unified cloud asset inventory for governance, security, and platform engineering. Fivetran is a fully managed data movement platform with 700+ connectors that automates data ingestion from SaaS applications, databases, and event streams into cloud warehouses and data lakes. CloudQuery specializes in cloud infrastructure data; Fivetran specializes in business application data.
Can CloudQuery and Fivetran be used together?
Yes, and many data teams do exactly this. CloudQuery handles cloud infrastructure data extraction, feeding asset inventory, security posture, and cost data into your warehouse. Fivetran handles business data ingestion from SaaS apps, databases, and ERPs. Together they provide complete data coverage across both infrastructure and business domains, all landing in the same warehouse for unified analytics.
Which tool is better for a data analytics team?
Fivetran is the better choice for data analytics teams focused on centralizing business data for reporting and insights. Its 700+ managed connectors, automatic schema evolution, built-in dbt integration, and zero-maintenance pipelines let analysts focus on modeling and analysis instead of pipeline engineering. CloudQuery is better suited for platform and DevOps teams that need infrastructure visibility and governance rather than business analytics.
Is CloudQuery really free to use?
The CloudQuery CLI is open-source under the MPL-2.0 license with over 6,000+ GitHub stars, and teams can self-host it at no licensing cost. However, running the CLI requires you to manage your own infrastructure, plugin updates, and orchestration. The fully managed CloudQuery Platform is priced based on rows synced per year and requires contacting sales for a quote. Fivetran offers a free tier with 500,000 monthly active rows included.
Which platform handles more data sources?
Fivetran covers significantly more data sources with 700+ fully managed connectors spanning SaaS applications, databases, ERPs, files, and event streams. CloudQuery covers 70+ sources but focuses specifically on cloud providers, infrastructure tools, and security platforms. The comparison is not purely numerical, since the two tools target different data domains. Fivetran excels at business application data; CloudQuery excels at cloud infrastructure data.