Infogix Data360 Analyze [EOL] vs SSIS comparison

Why PeerSpot?

Precisely and Microsoft are both solutions in the Data Integration category. Additionally, 100% of Precisely users are willing to recommend the solution, compared to 80% of Microsoft users who would recommend it.

Infogix Data360 Analyze [EOL]

Read 1 Infogix Data360 Analyze [EOL] review

100% willing to recommend

SSIS

Read 76 SSIS reviews

21,235 Views
17,413 Comparison Views

80% willing to recommend

Infogix Data360 Analyze [EOL]

SSIS

Comparison Buyer's Guide

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Executive Summary

We performed a comparison between Infogix Data360 Analyze [EOL] and SSIS based on real PeerSpot user reviews.

Find out what your peers are saying about Informatica, Microsoft, Palantir and others in Data Integration.

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

Buyer's Guide

Data Integration

October 2026

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Helped 920,043 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

Infogix Data360 Analyze [EOL]

Average Rating

7.0

Number of Reviews

Ranking in other categories

No ranking in other categories

SSIS

Average Rating

7.6

Reviews Sentiment

6.7

Number of Reviews

Ranking in other categories

Data Integration (2nd)

Featured Reviews

reviewer1321299

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.

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reviewer2318280

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.

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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 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 return on investment has been very high; the tool has made us tremendously more efficient and saved us a significant amount of money, though I cannot put an exact figure on it."

"It is easy to set up. The deployment is also very quick."

"The initial setup of this solution is very straightforward."

"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."

"SSIS integrates well with SQL servers and Microsoft products, is a cheaper option than other ETL tools, has a lot of in-built transformation, and is easy to learn."

"The data reader is the most valuable feature."

"The most valuables features are the relatively short learning curve, and the automation capabilities provided through the BIML add-in for SSDT."

More SSIS pros

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 login process needs improvement."

"Sometimes when we want to publish to other types of databases it's not easy to publish to those databases. For example, the Jet Database Engine. Before the SSIS supported Jet Database Engine but nowadays it doesn't support the Jet Database Engine. We connect to many databases such as Access database, SparkPros databases and the other types of databases using Jet Database Engines now and SSIS now doesn't seem to support it in our databases."

"It's a legacy tool, that is nearing the end of its useful life."

"I would rate it a seven out of ten. Not a ten because of the data extraction that crashed."

"It should have other programming languages supported as well from a scripting perspective. Currently, only C# and VB.NET are supported, which limits it to .NET. It should have Java support as well."

"The performance of this solution is not as good as other tools in the market."

"The solution could improve by having quicker release updates."

"I would like to see better integration with Power BI."

More SSIS cons

Pricing and Cost Advice

"The open-source version is free to use, although it has a limitation of two-million records."

"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."

"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."

"The solution comes free of cost."

"People have to opt for a perpetual-based licensing model."

"This solution has provided an inexpensive tool, and it is easy to find experienced developers."

"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."

"SSIS' licensing is a little high, but it gives good value for money."

"It would be beneficial if the solution had a less costly cloud offering."

More SSIS pricing and cost advice

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Comparison Review

it_user90069

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…

Read full review

Top Industries

By visitors reading reviews

No data available

Financial Services Firm

13%

Manufacturing Company

Outsourcing Company

Construction Company

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

No data available

By reviewers
Company Size	Count
Small Business	27
Midsize Enterprise	19
Large Enterprise	58

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...

See all answers

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.

See all answers

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...

See all answers

Comparisons

Alteryx One vs Infogix Data360 Analyze [EOL]

Compared 48% of the time

Azure Data Factory vs Infogix Data360 Analyze [EOL]

Compared 37% of the time

Informatica PowerCenter vs Infogix Data360 Analyze [EOL]

Compared 15% of the time

More Infogix Data360 Analyze [EOL] Competitors

Oracle Data Integrator (ODI) vs SSIS

Compared 4% of the time

Informatica PowerCenter vs SSIS

Compared 4% of the time

Pentaho Data Integration and Analytics vs SSIS

Compared 3% of the time

WhereScape RED vs SSIS

Compared 3% of the time

SharePlex vs SSIS

Compared 3% of the time

More SSIS Competitors

Product Reports

Buyer's Guide

Data Integration

October 2026

Download Infogix Data360 Analyze [EOL] product report

Buyer's Guide

SSIS

October 2026

Download SSIS product report

Also Known As

No data available

SQL Server Integration Services

Overview

The most successful businesses have common denominators: maximizing organizational efficiencies, mitigating risk, growing revenue and innovating — fast. Data360 Analyze is the fastest way to aggregate and organize large amounts of data to uncover valuable insights across business units. Easily access, acquire, prepare and analyze quality data with its intuitive browser-based architecture.

Precisely

SSIS is a versatile tool for data integration tasks like ETL processes, data migration, and real-time data processing. Users appreciate its ease of use, data transformation tools, scheduling capabilities, and extensive connectivity options. It enhances productivity and efficiency within organizations by streamlining data-related processes and improving data quality and consistency.

Microsoft

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

Find out what your peers are saying about Informatica, Microsoft, Palantir and others in Data Integration. Updated: October 2026.

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