CloudQuery vs Rivery comparison

Read 8 Rivery reviews

3,909 Views
1,173 Comparison Views

100% willing to recommend

CloudQuery

Comparison Buyer's Guide

Download the report

Executive SummaryUpdated on Mar 29, 2026

Rivery and CloudQuery are competitive products in the data management category. Rivery holds an advantage in pricing and support, while CloudQuery is preferred for its comprehensive features.

Features: Rivery provides scalable data integration across multiple cloud environments, robust transformation capabilities, and automation with team collaboration. CloudQuery offers real-time data syncing, powerful querying, and flexibility from its open-source framework.

Ease of Deployment and Customer Service: Rivery has an intuitive deployment process with extensive support resources suitable for varied tech expertise levels. CloudQuery requires more technical proficiency for setup, relying mainly on community support and documentation.

Pricing and ROI: Rivery’s transparent pricing model allows costs to scale with usage, offering potentially higher ROI for businesses with extensive data processing needs. CloudQuery’s open-source nature lowers initial setup costs but may lead to additional expenses for advanced features, making Rivery a better choice for budget-focused buyers seeking predictable returns.

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

CloudQuery vs. Rivery

Download the complete report

Helped 915,341 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

22nd

Average Rating

9.0

Reviews Sentiment

6.4

Number of Reviews

Ranking in other categories

No ranking in other categories

Rivery

Ranking in Cloud Data Integration

16th

Average Rating

8.0

Reviews Sentiment

6.5

Number of Reviews

Ranking in other categories

Data Integration (25th), Migration Tools (2nd), Cloud Migration (11th)

Mindshare comparison

As of October 2026, in the Cloud Data Integration category, the mindshare of CloudQuery is 0.7%, up from 0.1% compared to the previous year. The mindshare of Rivery is 1.5%, up from 0.9% compared to the previous year. It is calculated based on PeerSpot user engagement data.

Cloud Data Integration Mindshare Distribution
Product	Mindshare (%)
Rivery	1.5%
CloudQuery	0.7%
Other	97.8%

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.

Read full review

Anup Dhungel

CDL at Ycotek

Training has boosted custom ETL scripting and now debugging complex incremental loads needs work

The best feature Rivery offers is the ability to build custom or user-defined functions. You can even develop Python scripts to perform transformations on your data frames. This flexibility allows you to implement custom requirements, making Rivery more versatile than relying solely on in-built functions. Regarding features such as the interface, scheduling, or connectors, I found that as of 2022 when I last used it, the monitoring was good, although the debugging process for custom scripts was somewhat challenging. If we encountered issues with custom-built scripts, debugging was difficult since it used to send standard errors rather than specific ones. From what I recall, monitoring worked well, and we could connect to multiple relational and other sources, which was advantageous. A few of my colleagues and I were able to earn certifications on Rivery, which motivated us, even though we could not pursue or implement Rivery project for clients. The learning experience was very valuable as we had around seven or eight resources participating in those trainings, and they were all excited to learn about this new tool for us at the time.

Read full review

Quotes from Members

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

Pros

"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."

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

"Rivery has positively impacted my organization by helping me streamline my data ingestion and transformation processes, especially in combination with Snowflake."

"Rivery has positively impacted my organization by reducing the need for a big team of data engineers and speeding up the work when we need to connect to a new data source; this can happen really fast."

"This solution has many data sources; they connect to many, many APIs in the market and new ones are being added all the time."

"Anyone looking into using Rivery should know it is a great product."

"The process of using Rivery has worked very smoothly for me, and I found the tool very easy to use, allowing me to gain a lot of insights."

"Rivery has positively impacted my organization by enabling us to create a stable pipeline, and we can expand the variety of the data sources as we go very easily, with no worries, and with a lot of confidence in the fact that it can be done."

"The solution's most valuable features are that it is quick to connect and simple to use."

"The main benefit Rivery brought to my organization was the time we were able to save on development, and by using all these automation features provided by Rivery together with integration to Snowflake, we were able to solve problems."

Cons

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

"My experience with pricing, setup cost, and licensing was unfortunately not so good in my recent data project."

"I think lineage and an impact analysis or logic dependency are lacking."

"I think Rivery could be improved by having more analytical features inside."

"Rivery can be improved by generally investing a bit more depth into the product, mainly in orchestration and specific features comparable to mature products."

"The key challenges I recall were related to the incremental merging logic, which was not functioning properly."

"Pricing is a little steep for smaller organizations, I would say. The product's pricing model could be a little bit better."

"As an end user of Rivery, I would like to see it be less commercial for users."

Pricing and Cost Advice

Information not available

"I rate the tool's price as six out of ten if I consider the lowest price to be one and the highest price to be ten."

See which vendors are best for you

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

See recommendations

915,341 professionals have used our research since 2012.

Top Industries

By visitors reading reviews

No data available

Comms Service Provider

19%

Construction Company

18%

Manufacturing Company

12%

Financial Services Firm

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

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

By reviewers
Company Size	Count
Small Business	4
Midsize Enterprise	1
Large Enterprise	3

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 is your experience regarding pricing and costs for Rivery?

I do not know about the experience with pricing, setup cost, and licensing as it was not part of my job.

What needs improvement with Rivery?

I think Rivery could be improved by having more analytical features inside. I do not know if in the latest updates there are some AI tools to use or something related to that. Sometimes I wish for ...

What is your primary use case for Rivery?

My main use case for Rivery involves collecting data from different sources, and with Rivery, I am able to put them together and load the data directly in Snowflake.

Qlik Talend Cloud vs CloudQuery

Comparisons

Compared 85% of the time

Confluent vs CloudQuery

Compared 15% of the time

More CloudQuery Competitors

OpenText Migrate vs Rivery

Compared 8% of the time

AWS Glue vs Rivery

Compared 8% of the time

Matillion Data Productivity Cloud vs Rivery

Compared 8% of the time

Alteryx Designer vs Rivery

Compared 6% of the time

BitTitan MigrationWiz vs Rivery

Compared 5% of the time

More Rivery Competitors

Product Reports

Cloud Data Integration

Download CloudQuery product report

Download Rivery product report

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

Rivery enhances automation with its built-in pipelines, seamless Snowflake integration, and flexible data management capabilities. It supports extensive connectivity and user-defined functions, aiding efficient data flow management.

Rivery provides a robust platform for automating data ingestion and transformation workflows, integrating effortlessly into data warehouses like Snowflake. Its user-friendly interface and extensive API connectivity simplify data extraction and flow, accommodating diverse needs with custom scripting and user-defined functions. Despite its strengths, improvements are desired in lineage, impact analysis, and advanced visualization, along with better orchestration and logging capabilities. Users also seek price adjustments for smaller organizations and integration with modern AI technologies to elevate analytical capabilities.

What features does Rivery offer?

Extensive Connectivity: Supports connecting to multiple data sources including social media and databases.
Automation: Built-in pipelines simplify data flow management and transformation.
Flexibility: Custom scripting allows tailored data processing.
Snowflake Integration: Seamless integration saves time and resources.
API Connectivity: Easy connection to various APIs enhances data sourcing.

What benefits and ROI should users consider?

Time Efficiency: Automates data workflows, reducing manual tasks.
Cost Monitoring: Effective tracking of expenses related to data processes.
Responsiveness: Support team ensures quick resolution of issues.
User-Friendliness: Intuitive interface facilitates ease of use.

In industries such as retail and finance, Rivery is crucial for managing ETL processes. Retail organizations use it for integrating data from sales channels and customer databases, driving targeted marketing strategies. Finance companies rely on its robust pipelines and Snowflake integration to streamline complex financial data transformations and enhance reporting accuracy.

CloudQuery vs. Rivery