CloudQuery vs StreamSets comparison

Why PeerSpot?

CloudQuery and IBM are both solutions in the Cloud Data Integration category. Additionally, 100% of CloudQuery users are willing to recommend the solution, compared to 100% of IBM users who would recommend it.

CloudQuery

Read 2 CloudQuery reviews

901 Views
496 Comparison Views

100% willing to recommend

StreamSets

Read 21 StreamSets reviews

4,718 Views
3,633 Comparison Views

100% willing to recommend

CloudQuery

StreamSets

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Executive Summary

We performed a comparison between CloudQuery and StreamSets based on real PeerSpot user reviews.

Find out what your peers are saying about Amazon Web Services (AWS), Informatica, Palantir and others in Cloud Data Integration.

To learn more, read our detailed Cloud Data Integration Report (Updated: September 2026).

Buyer's Guide

Cloud Data Integration

September 2026

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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

Average Rating

9.0

Reviews Sentiment

6.4

Number of Reviews

Ranking in other categories

Cloud Data Integration (22nd)

StreamSets

Average Rating

8.4

Reviews Sentiment

7.0

Number of Reviews

Ranking in other categories

Data Integration (27th)

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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SrinivasanSankar

Enterprise Solutions Architect at a energy/utilities company with 1,001-5,000 employees

Enables effective batch loading with visual interface and enterprise support

One issue I observed with StreamSets is that the memory runs out quickly when processing large volumes of data. Because of this memory issue, we have to upgrade our EC2 boxes in the Amazon AWS infrastructure. I had to switch to a new EC2 box, even though the processor was not fully utilized. It would be beneficial if StreamSets addressed any potential memory leak issues to prevent unnecessary upgrades. Additionally, it would be a great enhancement if StreamSets could produce a lineage graph to visualize how the data has passed through the system.

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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."

"In StreamSets, everything is in one place."

"The entire user interface is very simple and the simplicity of creating pipelines is something that I like very much about it. The design experience is very smooth."

"The best thing about StreamSets is its plugins, which are very useful and work well with almost every data source. It's also easy to use, especially if you're comfortable with SQL. You can customize it to do what you need. Many other tools have started to use features similar to those introduced by StreamSets, like automated workflows that are easy to set up."

"It is really easy to set up and the interface is easy to use."

"One of the things I like is the data pipelines. They have a very good design. Implementing pipelines is very straightforward. It doesn't require any technical skill."

"The Ease of configuration for pipes is amazing. It has a lot of connectors. Mainly, we can do everything with the data in the pipe. I really like the graphical interface too"

"This product was a lot easier to use than the one we had before it, and it took us half an hour and we were set up and running it the first time."

"The most valuable would be the GUI platform that I saw. I first saw it at a special session that StreamSets provided towards the end of the summer. I saw the way you set it up and how you have different processes going on with your data. The design experience seemed to be pretty straightforward to me in terms of how you drag and drop these nodes and connect them with arrows."

More StreamSets pros

Cons

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

"One area for improvement could be the cloud storage server speed, as we have faced some latency issues here and there."

"The logging mechanism could be improved. If I am working on a pipeline, then create a job out of it and it is running, it will generate constant logs. So, the logging mechanism could be simplified. Now, it is a bit difficult to understand and filter the logs. It takes some time."

"There are a few things that can be better."

"The design experience is the bane of our existence because their documentation is not the best. Even when they update their software, they don't publish the best information on how to update and change your pipeline configuration to make it conform to current best practices. We don't pay for the added support. We use the "freeware version." The user community, as well as the documentation they provide for the standard user, are difficult, at best."

"If the data processing in StreamSets takes a long time as compared to the previous solution, then we will reconsider why we use StreamSets."

"I would like to see it integrate with other kinds of platforms, other than Java. We're going to have a lot of applications using .NET and other languages or frameworks. StreamSets is very helpful for the old Java platform but it's hard to integrate with the other platforms and frameworks."

"We've seen a couple of cases where it appears to have a memory leak or a similar problem."

"StreamSets should provide a mechanism to be able to perform data quality assessment when the data is being moved from one source to the target."

More StreamSets cons

Pricing and Cost Advice

Information not available

"The pricing is affordable for any business."

"It's not so favorable for small companies."

"StreamSets is an expensive solution."

"It has a CPU core-based licensing, which works for us and is quite good."

"I believe the pricing is not equitable."

"There are different versions of the product. One is the corporate license version, and the other one is the open-source or free version. I have been using the corporate license version, but they have recently launched a new open-source version so that anybody can create an account and use it. The licensing cost varies from customer to customer. I don't have a lot of input on that. It is taken care of by PMO, and they seem fine with its pricing model. It is being used enterprise-wide. They seem to have got a good deal for StreamSets."

"The licensing is expensive, and there are other costs involved too. I know from using the software that you have to buy new features whenever there are new updates, which I don't really like. But initially, it was very good."

"StreamSets Data Collector is open source. One can utilize the StreamSets Data Collector, but the Control Hub is the main repository where all the jobs are present. Everything happens in Control Hub."

More StreamSets pricing and cost advice

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Top Industries

By visitors reading reviews

No data available

Financial Services Firm

10%

Outsourcing Company

Comms Service Provider

Manufacturing Company

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	9
Midsize Enterprise	2
Large Enterprise	11

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...

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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...

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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 ...

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What needs improvement with StreamSets?

See all answers

What is your primary use case for StreamSets?

We are using StreamSets for batch loading.

See all answers

What advice do you have for others considering StreamSets?

If asked, I definitely recommend StreamSets to other users. My overall rating for the solution is nine.

See all answers

Comparisons

Qlik Talend Cloud vs CloudQuery

Compared 85% of the time

Confluent vs CloudQuery

Compared 15% of the time

More CloudQuery Competitors

Pentaho Data Integration and Analytics vs StreamSets

Compared 9% of the time

Informatica PowerCenter vs StreamSets

Compared 6% of the time

SSIS vs StreamSets

Compared 6% of the time

Spring Cloud Data Flow vs StreamSets

Compared 5% of the time

Oracle Data Integrator (ODI) vs StreamSets

Compared 4% of the time

More StreamSets Competitors

Product Reports

Buyer's Guide

Cloud Data Integration

September 2026

Download CloudQuery product report

Buyer's Guide

StreamSets

September 2026

Download StreamSets 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

StreamSets streamlines data pipeline creation, connecting data from multiple sources to destinations like cloud platforms with minimal coding. Its centralized platform and intuitive design enhance ETL and data migration processes.

StreamSets integrates seamlessly with analytics platforms, offering tools such as Data Collector and Control Hub to facilitate data ingestion, transformation, and machine learning integrations. Its user-friendly interface and ready connectors aid in configuring complex data pipelines. With built-in data drift resilience and scheduling options, users experience efficient, scalable data management, despite challenges like latency in cloud storage and interface enhancement needs. Users often employ StreamSets for batch loading, real-time data processing, and smart data pipeline management, offering comprehensive data integration solutions.

What are the key features of StreamSets?

Data Collector: Enables streamlined data collection and processing.
Control Hub: Centralizes management of data pipelines.
Minimal Coding: Simplifies pipeline configuration with limited code requirement.
Data Drift Resilience: Adapts to changes in data patterns effectively.

What benefits should users look for?

Time-Saving: Efficient processes reduce manual effort.
Scalability: Easily manages large datasets.
Integration: Connects with leading analytics and cloud platforms.
Real-Time Processing: Supports continuous data delivery for timely insights.

In industries like finance and technology, StreamSets supports data migration, machine learning integrations, and analytics by simplifying data transformation and enhancing decision-making capabilities through its robust pipeline management.

IBM

Sample Customers

Information Not Available

Availity, BT Group, Humana, Deluxe, GSK, RingCentral, IBM, Shell, SamTrans, State of Ohio, TalentFulfilled, TechBridge

Buyer's Guide

Cloud Data Integration

September 2026

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