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Infogix Data360 Analyze [EOL] vs SSIS comparison

 

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 (2nd)
 

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.
Chris Farris - PeerSpot reviewer
Manager, Data Operations at a manufacturing company with 5,001-10,000 employees
User-friendly interface facilitates efficient data migration and reduces operational overhead
Its usability and ease of use are standout features. It is really easy to use - almost too easy at times. Users don't have to be experts to use their tool set and utilize the clicking mechanisms, drop down boxes, and other features to build a package and run it. The configuration is very easy and the system is very stable. I would rate it at a 10 as it is highly reliable; we have never had any problems with it. Very little maintenance is required on my side. While you need to keep the product up to date, the maintenance requirements are minimal. SSIS integrates with all Microsoft tools seamlessly. We have used it against Oracle, DB2 and SQL. It integrates and can move data around from any data platforms, making it very diverse in that standpoint. It is a very robust tool that can work with many data sources, and its main strength is that it is extremely easy to use.

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."
"You can get data from any data source with SSIS and dump it to any outside source. It is helpful. Getting, extracting, converting, and dumping data doesn't require much effort because we can do everything in the user interface. You drag and drop, then give the required input. It's intuitive."
"SSIS' most valuable feature is its reporting services."
"The initial setup was easy, and we also used some YouTube videos for guidance."
"It has good data integration and good processes."
"The most valuable aspect of this solution is that it is simple to use and it offers a flexible custom script task."
"The main benefits SSIS provides for my company is to streamline processes, and the reporting process is the most useful for me, as most of our data is captured into SQL, making it easier to pull the differences in reports for the year."
"Stability is rated at 10."
"Its compatibility with Microsoft products has been very valuable to our company."
 

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 memory processing needs to be improved because when you deal with a large amount of data, the interface tends to hang a little bit."
"I would like to see better technical documentation because many times information is missing."
"This solution is stable, but the performance is not good."
"Future releases should improve the data lineage, as it currently is not good."
"It's difficult to refactor SSIS. It gets cumbersome to reuse the solution."
"The security could be improved, as it is more important in our context."
"The solution could improve by having quicker release updates."
"The creation of the measure in the DAC's model could be improved."
"When I compare Talend and SSIS, Talend provides more features. With Talend, we can handle a large volume of data. Talend is usually used to treat a large volume of data, which makes it better than SSIS on the data side. Talend also has a very good Talend Management Console to schedule the jobs and do other things. It can also be easily connected to version control tools such as GitHub or SVN. The last time I used SSIS, it was connected through TSS for the Windows Console version. I am not sure it has been improved or not. If it is not improved, Microsoft should improve it. They should change the product to provide another console."
 

Pricing and Cost Advice

"The open-source version is free to use, although it has a limitation of two-million records."
"The solution comes free of cost."
"We have an enterprise license for this solution."
"This solution is a free of charge addition to our SQL licence. However, the only way this tool can be utilized is as a feature of the SQL licence, which may make it unattractive to organizations who don't wish to purchase the wider-ranging licence."
"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."
"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."
"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."
"This solution has provided an inexpensive tool, and it is easy to find experienced developers."
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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
14%
Government
8%
Computer Software Company
8%
Manufacturing Company
6%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
No data available
By reviewers
Company SizeCount
Small Business27
Midsize Enterprise19
Large Enterprise57
 

Questions from the Community

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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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