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Infogix Data360 Analyze [EOL] vs SSIS comparison

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Comparison Buyer's Guide

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

"This solution allows you to include your own functions that are coded in Python."
"The drag-and-drop functionality makes it easy for business users."
"Stability is rated at 10."
"The scalability of SSIS is good."
"The most valuable features of SSIS are that it works with the query language and it can import data from different sources."
"With this solution, there is the potential to expand, so that you can immediately write code onto the SQL server."
"This solution is easy to implement, has a wide variety of connectors, has support for Visual Basic, and supports the C language."
"Overall, it works well. The performance is good."
"The data reader is the most valuable feature."
"The technical support is very good."
 

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."
"Scalability not on the same level as with IBM Datastage."
"I haven't found too many successful scaling options and that's something that could be improved."
"The login process needs improvement."
"I would rate it a seven out of ten. Not a ten because of the data extraction that crashed."
"It's difficult to refactor SSIS. It gets cumbersome to reuse the solution."
"I would like to see more standard components out of the box, such as SFTP, and Data Compression components."
"Improvement as per customer requirements."
"SSIS could be integrated with more services, such as Power BI, to make the reporting structures more user-friendly."
 

Pricing and Cost Advice

"The open-source version is free to use, although it has a limitation of two-million records."
"Our license with SSIS is annual."
"If you don't want to pay a lot of money, you can go for SSIS, as its open-source version is available. When it comes to licensing, SSIS can be expensive."
"SSIS is fairly well-priced - I would rate it at four out of five."
"We have an enterprise license for this solution."
"We purchased the standard edition of SQL Server and SSIS came with it free of charge."
"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."
"The solution is available at a lesser price than that of Informatica."
"People have to opt for a perpetual-based licensing model."
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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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