CloudQuery vs Fivetran comparison

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CloudQuery

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Executive SummaryUpdated on Mar 29, 2026

Fivetran and CloudQuery are both leading products in the data integration and management solutions category. Fivetran generally leads in real-time data synchronization and user satisfaction, whereas CloudQuery is favored for its open-source flexibility.

Features: Fivetran provides automated data integration with robust real-time synchronization, making it ideal for enterprises needing efficient setups. Its connectors facilitate seamless data connections. CloudQuery offers an adaptable open-source framework, allowing precise data customization and is suited for organizations needing tailored solutions.

Ease of Deployment and Customer Service: Fivetran offers straightforward cloud-based deployment with efficient customer support, lowering technical barriers. CloudQuery, while potentially requiring more technical involvement due to self-hosting options, benefits from extensive documentation and community support. Fivetran's model fits those seeking hassle-free implementation, while CloudQuery's approach suits those desiring greater control over customization.

Pricing and ROI: Fivetran's usage-based pricing model may reduce initial costs but could rise as data needs expand, offering excellent ROI for those prioritizing integration simplicity. CloudQuery, as an open-source solution, presents lower setup costs, with significant ROI for users where operational flexibility matters. Fivetran's pricing is transparent, while CloudQuery's potential for reduced costs in complex deployments offers advantageous savings.

To learn more, read our detailed CloudQuery vs. Fivetran Report (Updated: July 2026).

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CloudQuery vs. Fivetran

July 2026

Helped 909,153 peers since 2012

Review summaries and opinions

We asked business professionals to review the solutions they use. Here are some excerpts of what they said:

Categories and Ranking

CloudQuery

Ranking in Cloud Data Integration

23rd

Average Rating

9.0

Reviews Sentiment

6.5

Number of Reviews

Ranking in other categories

No ranking in other categories

Fivetran

Ranking in Cloud Data Integration

9th

Average Rating

8.2

Reviews Sentiment

6.8

Number of Reviews

Ranking in other categories

Data Integration (14th), Data Replication (3rd)

Mindshare comparison

As of August 2026, in the Cloud Data Integration category, the mindshare of CloudQuery is 0.6%, up from 0.1% compared to the previous year. The mindshare of Fivetran is 3.9%, down from 5.6% compared to the previous year. It is calculated based on PeerSpot user engagement data.

Cloud Data Integration Mindshare Distribution
Product	Mindshare (%)
Fivetran	3.9%
CloudQuery	0.6%
Other	95.5%

Cloud Data Integration

Featured Reviews

Mark Rausch

Cloud Security Support at a tech vendor with 501-1,000 employees

AI-driven queries have transformed how I discover hidden cloud assets and misconfigurations

One of the improvements that could be made to CloudQuery is the GUI. In the past, I had issues where I couldn't see all the information that would pop up at the bottom. That might be fixed by now, but I was experiencing issues with the GUI itself. CloudQuery's AI capabilities lack governance and security features. While the AI is great for helping me craft SQLs to find assets in the environment, it does not have real security features for blocking or similar tasks. I can set up SQLs for alerting, but I find that a bit limiting. For what it is, CloudQuery is great. The only improvement I could suggest would be to set up more alerting features, but overall it is great for what it is, and I would say it feels a little bit limiting.

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Hafiz Usman

Team Lead Data Engineer at Data Pilot

Has accelerated data integration workflows and supports seamless development of custom connectors

I've worked extensively with Fivetran, mainly used for extraction purposes, and I've worked with the transformation element in it as well. Fivetran not only has built-in connectors but also provides SDK connectors, allowing us to develop our own connectors in an easy manner. I don't have to write raw Python scripts or dumping scripts; it offers straightforward examples and guidelines, making it much simpler to develop custom connectors inside Fivetran. We've been able to develop many custom connectors as well, which is unique and beneficial for having everything centralized instead of having those connectors located elsewhere. One of the best features by Fivetran is its clean, simple, and intuitive UI. It includes a transformation section where I can deploy my DBT queries and scripts. It also supplies good tracking capabilities for billing estimates and user permissions, allowing for customization to the desired level. The number of connectors it has remains a standout feature, and within connectors, the options available are very helpful. Although it sometimes appears static due to its built-in nature, it offers good flexibility for data transformation and caching, which I appreciate because it saves us extensive script-writing time.

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Quotes from Members

We asked business professionals to review the solutions they use. Here are some excerpts of what they said:

Pros

"The AI-generated SQL works well for my team as it gets things right most of the time."

"CloudQuery has positively impacted my organization because instead of navigating through multiple cloud consoles, I can run an SQL query and get, for example, all my S3 buckets that are public, private, or that I need to do something with."

"It is easy for users to get accustomed to the tool due to its gentle learning curve and clear error transparency."

"For us, Fivetran has been able to scale both in terms of the data we bring into our warehouse and the amount of data that we use as well."

"There's the general feature of the platform where it just makes it very easy to integrate different things, but I would say a specific difference is their integration of DBT,."

"The product is very easy to use and very easy to configure."

"It is not like a traditional ETL, but it gives quite a lot of flexibility."

"The ease of usability is the most valuable feature; it's very easy and quick to set up and it also has a central hub as opposed to GoldenGate which is one direct interface, where for GoldenGate I would have needed three interfaces whereas with HVR I have a central interface that manages everything."

"The user interface is mostly UI-based, eliminating the need for a lot of coding."

"The ease of setting up the connectors and transformations is highly valuable."

More Fivetran pros

Cons

"CloudQuery really acts as an asset inventory tool, which is great, but I find that somewhat limiting."

"In our case, we ultimately did not end up using Fivetran because we were able to do custom connects at a lower cost compared to Fivetran. From a cost perspective, if the number of connectors is lesser, then Fivetran is not the most cost-efficient option."

"The customization could improve because Fivetran gives more thought to people who don't want to manage analytics workflows rather than engineers who want to be able to customize pipelines more thoroughly."

"There is not a lot of options to customize the pipeline, and the cost is high."

"More connectors are needed for exotic, popular, and rising star portals."

"The solution is very expensive. I would like to have a better integration of the solution with Azure."

"The documentation is decent, but it's hard to find information online about Fivetran. For example, if you try to search for an error code, you won't find much information about it in forums."

"This solution needs to improve its real-time data and transformation availability."

"Fivetran should add more connectors because its competitors, like Airbyte, have more connectors."

More Fivetran cons

Pricing and Cost Advice

Information not available

"When you have a lot of workflows and complex use cases, pricing goes down as you use it more."

"I would say they're a little bit on the expensive side, and their contract process is not particularly good, but there is a lot of potential flexibility."

"The pricing model is okay and mid to large companies will not have an issue with it."

"Fivetran is very expensive, and its database-driven pricing model is outdated."

"The product is reasonably expensive"

"In the first year, we were given a very good discount. It was approximately 20,000 Euros per year. In the third year, we purchased credit for two years and the price was 33,000 Euros per year."

"I rate the pricing a six out of ten."

"I can't give exact amounts because that's based on usage, but it's more expensive than some of its competitors."

More Fivetran pricing and cost advice

See which vendors are best for you

Use our free recommendation engine to learn which Cloud Data Integration solutions are best for your needs.

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909,153 professionals have used our research since 2012.

Top Industries

By visitors reading reviews

No data available

Financial Services Firm

13%

Manufacturing Company

Computer Software Company

Outsourcing Company

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

No data available

By reviewers
Company Size	Count
Small Business	10
Midsize Enterprise	7
Large Enterprise	16

Questions from the Community

What needs improvement with CloudQuery?

CloudQuery could maybe integrate with some AI agents like ChatGPT or Claude to help us do some things like writing in natural language instead of SQL. Regarding CloudQuery's AI capabilities, I thin...

What is your primary use case for CloudQuery?

My main use case for CloudQuery is as a tool for inventory platforms that lets me extract, transform, and query infrastructure data using SQL. A quick specific example of how I use CloudQuery in my...

What advice do you have for others considering CloudQuery?

My advice to others looking into using CloudQuery is that if you like SQL, you can use this product as if it was MySQL, SQL Server, or any other relational database. I would rate this product a 10 ...

What's the deal with the HVR software acquisition?

As a user of HVR Software I followed this deal closely. Fivetran is apparently trying to establish more in its sector and by buying an already established data replication software, they become som...

Does HVR Software provide reliable insights?

I honestly can't think of another data replication software that can give you better statistics and insight than HVR Software. There's the feature for topology and statistics and both of them can ...

How much traffic can HVR Software handle?

As someone who works at a company where a high volume of information is replicated and has tried several data replication softwares, I can tell you that you're looking at the right one. HVR Softwar...

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Product Reports

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Cloud Data Integration

July 2026

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August 2026

Overview

CloudQuery enables users to transform cloud infrastructure into SQL databases for streamlined data analysis and security assessments. Tailored for those who require efficient cloud configuration and security management capabilities, it functions seamlessly across diverse platforms.

Designed to convert cloud infrastructure data into SQL, CloudQuery leverages open-source technology for extensive customization. It offers immediate insights through powerful data querying, supporting comprehensive audits and compliance checks. Its flexibility and scalability make it ideal for advanced data management and security scrutiny.

What key features does CloudQuery offer?

SQL Conversion: Easily converts infrastructure data into SQL databases.
Customizable Queries: Offers flexibility in data analysis and auditing.
Multi-platform Integration: Works across different cloud environments seamlessly.
Open-source: Allows for extensive customization and adaptability.
Scalable Architecture: Supports growth and increased data processing demands.

What benefits and ROI can users expect?

Enhanced Security: Facilitates better security assessments and compliance.
Cost Efficiency: Reduces the need for complex infrastructure setups.
Increased Flexibility: Adapts to changing data management needs effectively.
Improved Data Insight: Delivers actionable insights swiftly.
High Customization: Tailors processes to specific organizational requirements.

CloudQuery's implementation varies, becoming an integral part of financial institutions for ensuring compliance, while technology firms utilize its querying capabilities to optimize cloud data management and security. In healthcare, it supports data privacy and integrity through robust configuration management.

CloudQuery

Fivetran offers a seamless, scalable data integration platform with strong connectors and real-time synchronization. Tailored for managing ETL workflows and integrating with DBT, it appeals to organizations seeking efficient data management.

Fivetran distinguishes itself through its intuitive interface and extensive scalability, allowing businesses to manage entire ETL workflows seamlessly. Its robust connectors ensure smooth integration with multiple data sources, while transparent logging and minimal coding requirements enhance accessibility. With real-time data synchronization, organizations benefit from up-to-date insights for analytics and engineering purposes. While some users point out areas for improvement like better documentation and expanded integration options, Fivetran remains a cherished tool for centralizing data in data warehouses such as supporting change data capture, migrations, and synchronizations from systems like Salesforce, NetSuite, and Google Analytics. Operating within an ELT framework, it empowers businesses to streamline data processes without complex extraction logic.

What are the key features of Fivetran?

Ease of Use: Intuitive platform minimizing setup complexity
Scalability: Adapt to growing data needs efficiently
Powerful Connectors: Seamless integration with diverse data sources
Real-Time Synchronization: Instant data updates supporting timely insights
DBT Integration: Simplifies transformations within ETL workflows
Transparent Logging: Provides clear visibility into operations

Which benefits can users expect in reviews?

Cost-Effective Scalability: Manage increased data without significant financial impact
Minimal Coding: Reduces technical barriers enhancing accessibility
Comprehensive Data Management: Centralizes diverse data streams effectively
Timely Analytics: Real-time updates foster actionable insights
Streamlined Workflow Management: Efficiently handles complex ETL processes

In industry-specific implementation, Fivetran is integral for businesses requiring robust data integration to power analytics. Retailers utilize it to consolidate e-commerce data for sales insights, while finance firms rely on its capabilities to merge financial data for reporting. In the tech sector, it supports engineering teams by providing a reliable data pipeline that fuels app development and performance monitoring.

Sample Customers

Information Not Available

Autodesk, Condé Nast, JetBlue, Morgan Stanley, OpenAI, LVMH, Pfizer, Verizon, SpotifyNational Australia Bank, Saks, Cemex, Okta, Dropbox, Pitney Bowes, World Fuel Services,Lufthansa, AutoZone, ASICS, ASOS, Coupa, Databricks, Hermes, New Relic, Intercom,Canva, Honeywell, Square, DocuSign, Nandos, Oldcastle Infrastructure