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Infogix Data360 Analyze [EOL] 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

Infogix Data360 Analyze [EOL]
Average Rating
7.0
Number of Reviews
1
Ranking in other categories
No ranking in other categories
SSIS
Average Rating
7.6
Reviews Sentiment
6.7
Number of Reviews
76
Ranking in other categories
Data Integration (3rd)
 

Featured Reviews

reviewer1321299 - PeerSpot reviewer
Data Analytics Consultant at velocity
Easy drag-and-drop interface and supports custom Python functions, but the performance needs to be better
The memory processing needs to be improved because when you deal with a large amount of data, the interface tends to hang a little bit. When the system boots up, it can take between two and five minutes, depending on the system memory (RAM). If the system is low on memory then it takes a long time to start up. If you are not familiar with Python then this product will be a little more difficult for you. It can take a long time to migrate from one version to the next because there are a lot of processes to deal with.
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 drag-and-drop functionality makes it easy for business users."
"This solution allows you to include your own functions that are coded in Python."
"The product's deployment phase is easy."
"SSIS' best feature is SFTP connectivity."
"The simplicity of the solution is great, and the solution also offers excellent integration."
"Overall, it works well. The performance is good."
"This is one of the best analytic tools for a person or enterprise."
"The performance and stability are good."
"The initial setup of this solution is very straightforward."
"The UI is very user-friendly."
 

Cons

"The memory processing needs to be improved because when you deal with a large amount of data, the interface tends to hang a little bit."
"The security could be improved, as it is more important in our context."
"This solution needs full support for real-time processing."
"SSIS could be integrated with more services, such as Power BI, to make the reporting structures more user-friendly."
"It needs more integration tools, so you can connect to different sources."
"Another consideration is real-time processing needs. If this is a requirement then I would recommend against using this solution, unless the next version has a new set of features specifically for real-time processing."
"Future releases should improve the data lineage, as it currently is not good."
"It hangs a lot of the time."
"Tuning using this solution requires extensive expertise to improve performance."
 

Pricing and Cost Advice

"The open-source version is free to use, although it has a limitation of two-million records."
"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."
"We have an enterprise license for this solution."
"SSIS is a cheaper option compared to the cost of other ETL tools."
"The solution is economical. You don't have to worry about the pricing as long as you're installing both services on the same server."
"The solution is available at a lesser price than that of Informatica."
"SSIS' licensing is a little high, but it gives good value for money."
"This solution has provided an inexpensive tool, and it is easy to find experienced developers."
"All of my clients have this product included as part of their Microsoft license."
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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
No data available
By reviewers
Company SizeCount
Small Business27
Midsize Enterprise19
Large Enterprise58
 

Questions from the Community

Ask a question
Earn 20 points
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...
 

Also Known As

No data available
SQL Server Integration Services
 

Overview

 

Sample Customers

citi, swedbank, RSA, MasterCard, travelers, telstra
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
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