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CloudQuery vs SSIS comparison

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Executive Summary

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
2
Ranking in other categories
Cloud Data Integration (22nd)
SSIS
Average Rating
7.6
Reviews Sentiment
6.7
Number of Reviews
76
Ranking in other categories
Data Integration (3rd)
 

Featured Reviews

MR
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.
reviewer2318280 - PeerSpot reviewer
Tech Lead at a consultancy with 11-50 employees
Reporting has become streamlined for year-end data checks but integration still needs improvement
When I talk about SQL Server, I am working with SSIS, the data integration tool. I am not entirely sure if I use SSIS as a library of transformations or if I personally work with an extensive library of transformations. I have integrated SSIS with SQL Server Management Studio, and I am very satisfied with the integration as it is integrated well. I am not using the debugging feature in SSIS because the developers would be the ones that would actually utilize it. I have noticed that in 2022, AI functionality has actually been implemented already. I would rate this review overall at a 7.

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."
"The initial setup of this solution is very straightforward."
"The most valuable thing is that it is easy to connect with Microsoft tools. In Europe, particularly in France, a lot of companies use Excel, SQL Server, and other Microsoft tools, and it is easier to connect SSIS with Microsoft tools than other products."
"The script component is very powerful, things that you cannot normally do, is feasible through C#."
"We can connect with multiple data sources easily using an external connector in SSIS."
"With this solution, there is the potential to expand, so that you can immediately write code onto the SQL server."
"The transformation of data is very good in SSIS."
"The performance is better than doing it in some alternative ways. We don't have to worry about so much manual work."
"Microsoft SQL Server Integration Services is one of the most effective ETL tools available in the market."
 

Cons

"CloudQuery really acts as an asset inventory tool, which is great, but I find that somewhat limiting."
"Microsoft's technical support has decreased in quality over the last few years, becoming less responsive and tending to pass problems on instead of solving them."
"I would rate it a seven out of ten. Not a ten because of the data extraction that crashed."
"The solution could improve on integrating with other types of data sources."
"SSIS sometimes hangs, and there are some problems with servers going down after they've been patched."
"Connectivity to databases other than Microsoft. This is the Achilles' heel."
"It's a legacy tool, that is nearing the end of its useful life."
"We'd like them to develop data exploration more."
"We have faced some problems, mostly from a different provider with different language handling."
 

Pricing and Cost Advice

Information not available
"It comes bundled with other solutions, which makes it difficult to get the price on the specific product."
"All of my clients have this product included as part of their Microsoft license."
"SSIS is a cheaper option compared to the cost of other ETL tools."
"We have an enterprise license for this solution."
"This solution has provided an inexpensive tool, and it is easy to find experienced developers."
"Based on my experience and understanding, Talend comes out to be a little bit expensive as compared to SSIS. The average cost of having Talend with Talend Management Console is around 72K per region, which is much higher than SSIS. SSIS works very well with Microsoft technologies, and if you have Microsoft technologies, it is not really expensive to have SSIS. If you have SQL Server, SSIS is free."
"Depending on the arrangement that a certain company has with Microsoft, it may supply the permanent license that is included in the SQL server license, or it may be a time-bound license if it is a partner license or other enterprise license."
"t's incredibly cost effective, easy to learn the basics quickly (although like all ETL tools requires the traditional learning curve to get good at) and has an immense user base."
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Comparison Review

it_user90069 - PeerSpot reviewer
BI Expert at a healthcare company with 1,001-5,000 employees
Feb 20, 2014
Informatica PowerCenter vs. Microsoft SSIS - each technology has its advantages but also have similarities
Technology has made it easier for businesses to organize and manipulate data to get a clearer picture of what’s going on with their business. Notably, ETL tools have made managing huge amounts of data significantly easier and faster, boosting many organizations’ business intelligence operations…
 

Top Industries

By visitors reading reviews
No data available
Financial Services Firm
13%
Construction Company
8%
Manufacturing Company
8%
Outsourcing Company
8%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
By reviewers
Company SizeCount
Small Business3
Midsize Enterprise2
Large Enterprise2
By reviewers
Company SizeCount
Small Business27
Midsize Enterprise19
Large Enterprise58
 

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 ...
Which is better - SSIS or Informatica PowerCenter?
SSIS PowerPack is a group of drag and drop connectors for Microsoft SQL Server Integration Services, commonly called SSIS. The collection helps organizations boost productivity with code-free compo...
What is your experience regarding pricing and costs for SSIS?
Pricing is pretty reasonable, so I would rate it at a 5. However, it could be a bit cheaper.
What needs improvement with SSIS?
SSIS could be integrated with more services, such as Power BI, to make the reporting structures more user-friendly. The initial setup for SSIS is somewhat complex in the beginning, but once you und...
 

Comparisons

 

Also Known As

No data available
SQL Server Integration Services
 

Overview

 

Sample Customers

Information Not Available
1. Amazon.com 2. Bank of America 3. Capital One 4. Coca-Cola 5. Dell 6. E*TRADE 7. FedEx 8. Ford Motor Company 9. Google 10. Home Depot 11. IBM 12. Intel 13. JPMorgan Chase 14. Kraft Foods 15. Lockheed Martin 16. McDonald's 17. Microsoft 18. Morgan Stanley 19. Nike 20. Oracle 21. PepsiCo 22. Procter & Gamble 23. Prudential Financial 24. RBC Capital Markets 25. SAP 26. Siemens 27. Sony 28. Toyota 29. UnitedHealth Group 30. Visa 31. Walmart 32. Wells Fargo
Find out what your peers are saying about Amazon Web Services (AWS), Informatica, Palantir and others in Cloud Data Integration. Updated: September 2026.
915,341 professionals have used our research since 2012.