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SSIS mindshare

As of August 2025, the mindshare of SSIS in the Data Integration category stands at 7.4%, down from 7.7% compared to the previous year, according to calculations based on PeerSpot user engagement data.
Data Integration Market Share Distribution
ProductMarket Share (%)
SSIS7.4%
Informatica PowerCenter8.1%
Azure Data Factory7.4%
Other77.1%
Data Integration

PeerResearch reports based on SSIS reviews

TypeTitleDate
CategoryData IntegrationAug 28, 2025Download
ProductReviews, tips, and advice from real usersAug 28, 2025Download
ComparisonSSIS vs Azure Data FactoryAug 28, 2025Download
ComparisonSSIS vs Informatica PowerCenterAug 28, 2025Download
ComparisonSSIS vs Informatica Intelligent Data Management Cloud (IDMC)Aug 28, 2025Download
Suggested products
TitleRatingMindshareRecommending
Informatica Intelligent Data Management Cloud (IDMC)4.04.3%93%186 interviewsAdd to research
Azure Data Factory4.07.4%92%92 interviewsAdd to research
 
 
Key learnings from peers

Valuable Features

Room for Improvement

ROI

Pricing

Popular Use Cases

Service and Support

Deployment

Scalability

Stability

Review data by company size

By reviewers
Company SizeCount
Small Business20
Midsize Enterprise16
Large Enterprise35
By reviewers
By visitors reading reviews
Company SizeCount
Small Business389
Midsize Enterprise264
Large Enterprise1173
By visitors reading reviews

Top industries

By visitors reading reviews
Financial Services Firm
18%
Computer Software Company
11%
Government
8%
Healthcare Company
6%
Manufacturing Company
6%
Insurance Company
5%
University
5%
Educational Organization
4%
Comms Service Provider
3%
Retailer
3%
Construction Company
3%
Performing Arts
3%
Real Estate/Law Firm
3%
Non Profit
3%
Hospitality Company
2%
Energy/Utilities Company
2%
Legal Firm
2%
Wholesaler/Distributor
2%
Consumer Goods Company
2%
Outsourcing Company
2%
Transportation Company
1%
Media Company
1%
Recreational Facilities/Services Company
1%
Logistics Company
1%
Pharma/Biotech Company
1%
Engineering Company
1%

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SSIS customers

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SSIS Reviews Summary
Author infoRatingReview Summary
Managing Director at Knights Innovation Support Centre4.0As a Microsoft Certified Trainer, I find SSIS valuable for handling large data in warehouses, though it lacks support and effective education. Stability is excellent, but the complexity could pose challenges without the right training or exposure.
Managing Partner at Dynamis Informatica4.0I use SSIS primarily for creating and fixing on-premises packages, moving data to the cloud, and preparing it for Power BI. Its integration with SQL Server makes it cost-effective, though it can be challenging for complex transformations.
Senior Systems Analyst at Optum4.0We use SSIS for ETL to efficiently move and translate data. It's highly scalable, integrates with multiple servers, and allows custom coding. However, it experiences bugs and lacks built-in API support, for which improved debugging tools would be beneficial.
Data Scientist/BI Developer at QNB Invest2.5I use SSIS for ETL processes in the EDW layer, but it has too many bugs, causing inconsistency in performance across different computers. I previously used Informatica, which was more reliable without as many bugs.
Head, Development Chapter (DevOps) at First Bank of Nigeria Ltd.4.0We use SSIS for ETL tasks, enabling data extraction from sources like Oracle and SQL Server for Power BI dashboards. Its data transformation capabilities are invaluable, though it struggles with large data volumes compared to Oracle, needing improvements in stability and efficiency.
Business Intelligence Architect at a financial services firm with 5,001-10,000 employees4.0In my SSIS experience, its package management and workflow flexibility are most valuable. While we've faced SQL Server performance challenges during updates, SSIS remains a reliable ETL tool, streamlining processes despite some Oracle integration and versioning issues.
System Analyst at National University of Sciences and Technology4.0I use SSIS to build dashboards and integrate data with Microsoft SQL Server and Power BI. The convenience and data refresh capabilities are valuable, but the product's stability and high pricing need improvement. I haven't considered other solutions or cloud providers.
Lead Data Engineer at Capgemini4.0I used SSIS for data warehousing tasks like creating dashboards and handling client data requests. Its automation and easy setup were valuable, though performance on large datasets could improve. I'd choose SSIS again, despite exploring other solutions.