CloudQuery vs Tray.ai comparison

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CloudQuery

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Executive SummaryUpdated on Oct 16, 2026

Tray.ai and CloudQuery are competing products in the integration and data management space. Tray.ai seems to have the upper hand in terms of ease of use and scalability, while CloudQuery offers strong flexibility and customization capabilities.

Features: Tray.ai offers intuitive workflow automation, seamless third-party integrations, and an easily navigable user interface, which simplifies the integration process for businesses. CloudQuery provides centralized visibility across cloud environments, SQL-based querying for easy data analysis, and robust security and compliance monitoring tools, making it ideal for complex cloud infrastructure management.

Room for Improvement: Tray.ai could enhance its capabilities by offering more advanced customization options for power users, improving its API rate limits, and expanding its connector library. CloudQuery might benefit from simplifying its initial setup process, integrating more AI-driven features to streamline querying, and enhancing its real-time data processing speed.

Ease of Deployment and Customer Service: Tray.ai features a quick deployment process focused on scalability and offers highly responsive customer support. In contrast, CloudQuery requires a more technically involved setup process but compensates with extensive support documentation and attentive customer service that assists with complex configurations.

Pricing and ROI: Tray.ai often involves a higher initial setup cost but delivers substantial ROI through its efficiency in workflow automation. CloudQuery generally has a lower initial cost and provides long-term ROI with its adaptability and cost-effective data management capabilities.

To learn more, read our detailed CloudQuery vs. Tray.ai Report (Updated: November 2026).

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CloudQuery vs. Tray.ai

November 2026

Helped 921,523 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:

ROI

Sentiment score

5.9

CloudQuery centralizes cloud management, reducing costs, staff needs, and enabling faster access to asset information compared to Prisma.

Sentiment score

5.8

Tray.ai automates tasks, significantly reducing workload and engineering demands, with users showing ongoing value appreciation over 19 months.

I could find the same asset information in CloudQuery in less than an hour, whereas Prisma took hours and hours to get things figured out.

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

This enables me to manage cloud infrastructure efficiently, avoiding multiple investments in different data management and cloud infrastructure monitoring systems.

For more quotes and insights, download the CloudQuery report

Operations Manager at a security firm with 10,001+ employees

I have seen a return on investment as the company has been renewing the product for the entire 19 months we have been using it, which indicates that trust is high and they likely see value and advantage in using the system.

Principal AI and Data Science Engineer at a manufacturing company with 10,001+ employees

It has even eliminated a position on our team because that person was no longer needed once we started the automations.

reviewer2865237

Applications Analyst at a healthcare company with 1,001-5,000 employees

The ROI is clear, as it eliminates hundreds of engineer hours required to build and maintain custom integration connectors, while empowering client partners to manage complex data ingest self-sufficiently.

For more quotes and insights, download the Tray.ai report

Dev Ops Engineer at a outsourcing company with 201-500 employees

Customer Service

Sentiment score

7.6

CloudQuery offers highly rated, responsive customer service, resolving issues efficiently, especially with installations, despite a less optimal support portal.

Sentiment score

4.3

Tray.ai's support is adequate, with ease of use reducing direct contact, complemented by positive feedback on newsletters and updates.

They took my feedback and implemented things very quickly.

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

Customer support is attentive and willing to listen to clients, providing accurate information upon queries and guiding users in a clear and understandable manner.

For more quotes and insights, download the CloudQuery report

Operations Manager at a security firm with 10,001+ employees

I have never used the customer support for Tray.io because the software is very easy to use and we never needed to contact support.

For more quotes and insights, download the Tray.ai report

Principal AI and Data Science Engineer at a manufacturing company with 10,001+ employees

Scalability Issues

Sentiment score

7.3

CloudQuery excels in scalability and performance, efficiently managing growth with reliability and eliminating manual infrastructure data checks.

Sentiment score

7.3

Tray.io excels in scaling and data management, though complexity arises as operations expand beyond small-scale uses.

The scalability plan for CloudQuery is well executed; as we continue to grow and require additional packages, the vendor supports me well, and the scalability process is straightforward with minimal hindrances.

For more quotes and insights, download the CloudQuery report

Operations Manager at a security firm with 10,001+ employees

We were able to deploy it from a small company within Tata with 200 people to what is now a multinational company with 92,000 people globally.

Principal AI and Data Science Engineer at a manufacturing company with 10,001+ employees

Our company uses it for handling high-volume data ingestion and integration orchestration between our platform and external ad services.

For more quotes and insights, download the Tray.ai report

Dev Ops Engineer at a outsourcing company with 201-500 employees

The benefits of it being no-code or low-code started to pale in comparison to the cost of making everything slightly more complicated.

reviewer2808870

Operations Analyst at a tech vendor with 51-200 employees

Stability Issues

Sentiment score

8.9

CloudQuery is praised for its exceptional stability, reliability, and consistent performance, achieving a perfect rating for uninterrupted service.

Sentiment score

7.9

Tray.ai is stable and efficient but requires setup learning; memory can impact workflows if not managed properly.

CloudQuery is stable and provides consistent services with no downtime, allowing my organization to receive services effectively.

For more quotes and insights, download the CloudQuery report

Operations Manager at a security firm with 10,001+ employees

In my experience, Tray.io is stable, as we have never experienced issues with it failing or being unavailable.

Principal AI and Data Science Engineer at a manufacturing company with 10,001+ employees

The biggest issue we have with Tray.io is that it runs out of memory space and does not process all of our workflows.

reviewer2865237

Applications Analyst at a healthcare company with 1,001-5,000 employees

Tray.io is highly stable for daily scheduled production runs and event-driven webhooks, provided proper error handling, timeout management, and payload validation are built into the workflow steps.

For more quotes and insights, download the Tray.ai report

Dev Ops Engineer at a outsourcing company with 201-500 employees

Room For Improvement

CloudQuery needs better accessibility, documentation, and usability, addressing issues in technical expertise, data quality, and security features.

Tray.ai struggles with user accessibility, documentation, and pricing, limiting usability for non-technical teams and smaller organizations.

CloudQuery's AI capabilities lack governance and security features.

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

Regarding CloudQuery's AI capabilities and its accuracy and reliability of output, it is very good because it transforms all your SQL and gives you some advice about what to do.

Luis Valdivia

CTO at Mas Uno

It is not a platform suitable for layman staff or those lacking proficiency; it demands knowledge in data integration, cloud infrastructure, and SQL.

For more quotes and insights, download the CloudQuery report

Operations Manager at a security firm with 10,001+ employees

When an automation fails, it usually provides the JSON format, and if Tray.io could include a summary of what the actual error entails, that would be quite beneficial.

reviewer2754390

IT Engineer at a consumer goods company with 51-200 employees

I believe Tray.io can be improved by offering integration with Tableau, which is still not available.

For more quotes and insights, download the Tray.ai report

Principal AI and Data Science Engineer at a manufacturing company with 10,001+ employees

There is a steep learning curve in user accessibility; the builder is highly developer-centric, making it difficult for a non-technical team member to modify or troubleshoot workflows.

Amrit Dash

Automation Engineer at a educational organization with 11-50 employees

Setup Cost

CloudQuery offers reasonable pricing with cost-saving benefits, smooth setup, and a free trial, despite some finding it pricey.

My experience with pricing, setup costs, and licensing was not frustrating; I executed everything smoothly by following the vendor's outlined steps, resulting in a rewarding experience.

For more quotes and insights, download the CloudQuery report

Operations Manager at a security firm with 10,001+ employees

No one has complained in the finance department, and it is very rare for Tata Motors to refrain from complaining about pricing.

For more quotes and insights, download the Tray.ai report

Principal AI and Data Science Engineer at a manufacturing company with 10,001+ employees

Valuable Features

CloudQuery enhances management, optimizes costs, and boosts security with centralized visibility, AI-driven queries, and proactive monitoring.

Tray.io offers low-code automation with robust integrations, intuitive design, and advanced features to enhance workflow resilience and efficiency.

I was spending hours trying to craft an RQL for Prisma, but I could figure out the SQL in CloudQuery in minutes.

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

It helps close compliance and security gaps; with that view, I can generate reports highlighting vulnerabilities, leading me to plan better and eliminate any exposures, thus ensuring effective execution of my work.

For more quotes and insights, download the CloudQuery report

Operations Manager at a security firm with 10,001+ employees

The best features CloudQuery offers include some FinOps tools to help you analyze unused or underutilized resources.

Luis Valdivia

CTO at Mas Uno

The connector SDK is also very nice; it has a large library of pre-built connectors that can connect a lot of proprietary internal tools directly into Tray.io, allowing the developer to build, test, and deploy custom connectors using Node.js and integrate the data directly into Tray.io.

Amrit Dash

Automation Engineer at a educational organization with 11-50 employees

The best features Tray.io offers include the visual workflow builder and HTTP client blocks that enable rapid prototyping and deployment of complex API interactions, including raw HTTP requests, data mappers, and dynamic token generation.

For more quotes and insights, download the Tray.ai report

Dev Ops Engineer at a outsourcing company with 201-500 employees

The logging and debugging features in Tray.io have helped us considerably, especially when dealing with APIs that return errors sometimes.

reviewer2808870

Operations Analyst at a tech vendor with 51-200 employees

Categories and Ranking

CloudQuery

Ranking in Cloud Data Integration

21st

Average Rating

9.0

Reviews Sentiment

6.6

Number of Reviews

Ranking in other categories

No ranking in other categories

Tray.ai

Ranking in Cloud Data Integration

18th

Average Rating

7.2

Reviews Sentiment

5.4

Number of Reviews

Ranking in other categories

Process Automation (17th), Low-Code Development Platforms (20th), Integration Platform as a Service (iPaaS) (14th)

Mindshare comparison

As of November 2026, in the Cloud Data Integration category, the mindshare of CloudQuery is 0.7%, up from 0.4% compared to the previous year. The mindshare of Tray.ai is 1.6%, up from 0.6% compared to the previous year. It is calculated based on PeerSpot user engagement data.

Cloud Data Integration Mindshare Distribution
Product	Mindshare (%)
Tray.ai	1.6%
CloudQuery	0.7%
Other	97.7%

Cloud Data Integration

Featured Reviews

Centralized visibility has transformed how my teams manage risk, compliance, and cloud resources

Operations Manager at a security firm with 10,001+ employees

CloudQuery can be improved in several areas, particularly regarding the technical expertise required. It is not a platform suitable for layman staff or those lacking proficiency; it demands knowledge in data integration, cloud infrastructure, and SQL. Organizations without the necessary technical capabilities may struggle to utilize the platform effectively. Moreover, this complexity can increase the IT budget due to subscription costs, hosting, and additional maintenance expenses that can accumulate. Another area requiring improvement is the reliability of output, which currently depends heavily on data quality and access permissions. If the data in my cloud infrastructure lacks quality, the information curated will also be inaccurate, creating gaps and undetected issues. Therefore, the platform's reliability and accuracy hinge on maintaining high-quality data stored in the cloud.

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Amrit Dash

Automation Engineer at a educational organization with 11-50 employees

Automated student enrollments have reduced manual work and now free our team for higher-value support

Tray.io is definitely a highly powerful tool, but there are three main areas that I feel could be improved. There is a steep learning curve in user accessibility; the builder is highly developer-centric, making it difficult for a non-technical team member to modify or troubleshoot workflows. Introducing a more intuitive visual interface similar to what we have in make.com right now would make the platform much more collaborative and easier to work with for any non-technical folks or newly onboarded engineers, allowing them to be briefed faster. Visual debugging is another area where troubleshooting complex nested loops can feel very abstract. Having clearer, more visual step-by-step data tracking during test runs would speed up the development and testing process. The pricing model is geared heavily towards enterprise budgets; offering more flexible mid-market pricing tiers would make it more accessible for a growing organization that wants a small start and scale up gradually. The core platform security is highly robust and easily meets our requirements for SOC 2 and GDPR compliance. However, when utilizing their AI features such as Merlin AI with sensitive student data, we maintain a very cautious approach. While Tray.io provides enterprise-grade governance guardrails and data masking capabilities, our internal compliance policies prevent us from passing any personally identifiable student information directly through AI-driven processors. We trust Tray.io's underlying infrastructure security, but we believe organizations must still enforce strict data filtering protocols on their end to ensure student privacy is maintained. During our evaluation, we tested the AI capabilities in a sandbox environment, primarily using it to generate workflow drafts and natural language prompts from web data schemas. Strength-wise, it is highly capable when it comes to translating simple text descriptions into functional workflow templates. It serves as a great accelerator, helping to map standard files quickly and reducing the initial setup time for basic integrations. For issues, in the case of highly custom APIs or deeply nested data structures, accuracy declines. We noticed occasional misinterpretation of complex schemas, meaning our developers still had to manually review and correct the outputs. It is a highly helpful productivity booster but still requires human oversight for enterprise-grade reliability.

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Top Industries

By visitors reading reviews

No data available

Comms Service Provider

14%

Construction Company

11%

Outsourcing Company

11%

Healthcare Company

10%

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

By reviewers
Company Size	Count
Small Business	3
Midsize Enterprise	2
Large Enterprise	3

By reviewers
Company Size	Count
Small Business	4
Midsize Enterprise	1
Large Enterprise	4

Questions from the Community

What needs improvement with CloudQuery?

What is your primary use case for CloudQuery?

My main use case for CloudQuery is helping with cloud infrastructure and managing all my cloud infrastructure, which helps me monitor, have a view, and identify potential strengths and weaknesses, ...

What advice do you have for others considering CloudQuery?

My recommendation to others reading reviews on PeerSpot is that if they seek to leverage cloud infrastructure management and monitoring with ease, CloudQuery is the right choice. It simplifies proc...

What needs improvement with Tray.io?

Native rate limit and auto-retry handling can be improved, as when hitting 429 errors or too many requests errors during high-volume API loops, Tray.io lacks native configured backoff and retry log...

What is your primary use case for Tray.io?

Tray.io serves as the core iPaaS orchestration and data ingestion engine between our primary system and numerous external platforms such as ad servers like GAM, FreeWheel, Flitepath, Facebook, ERPs...

What advice do you have for others considering Tray.io?

My advice for others looking into using Tray.io is to modularize earlier. I recommend not building massive monolithic workflows, but rather creating single-purpose callable workflows and triggering...

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Product Reports

Download CloudQuery product report

Cloud Data Integration

October 2026

Download Tray.ai product report

October 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

Tray.io is an advanced integration platform that allows seamless connectivity between applications, designed to automate workflows and streamline business processes.

Tray.io provides an extensive library of pre-built connectors and powerful automation tools, making it easy for businesses to boost efficiency. Its drag-and-drop workflow builder enables integration without code, catering to both technical and non-technical users. Being highly customizable and scalable, Tray.io helps companies adapt quickly to changing requirements, ensuring smooth operations and effective data management.

What are the key features of Tray.io?

Visual Workflow Builder: Offers an intuitive drag-and-drop interface for easy workflow creation.
Pre-built Connectors: Extensive library allowing quick integration with popular apps and services.
Customizable Logic: Lets users define conditions and logic that fit their business needs.
Scalability: Supports growing volumes and complex automations smoothly.
Error Handling: Efficiently detects and manages errors within workflows.

What benefits should users look for in reviews?

Improved Efficiency: Automates routine tasks, freeing up resources for strategic activities.
Cost-effectiveness: Reduces operational costs through smart automation.
Flexibility: Adapts to business-specific processes and changes in scale.
Reduced Development Time: Saves time with no-code integrations and pre-built connectors.

Tray.io is utilized across diverse industries such as e-commerce, where it integrates order management systems to provide seamless customer experiences. In marketing, it connects CRM platforms to enhance lead nurturing. In finance, it streamlines data flow between accounting software, improving financial reporting accuracy.

Sample Customers

Information Not Available

Copper, DigitalOcean, Udemy, AdRoll, FICO, Outreach