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.
Product | Market Share (%) |
---|---|
SSIS | 7.4% |
Informatica PowerCenter | 8.1% |
Azure Data Factory | 7.4% |
Other | 77.1% |
Type | Title | Date | |
---|---|---|---|
Category | Data Integration | Aug 28, 2025 | Download |
Product | Reviews, tips, and advice from real users | Aug 28, 2025 | Download |
Comparison | SSIS vs Azure Data Factory | Aug 28, 2025 | Download |
Comparison | SSIS vs Informatica PowerCenter | Aug 28, 2025 | Download |
Comparison | SSIS vs Informatica Intelligent Data Management Cloud (IDMC) | Aug 28, 2025 | Download |
Title | Rating | Mindshare | Recommending | |
---|---|---|---|---|
Informatica Intelligent Data Management Cloud (IDMC) | 4.0 | 4.3% | 93% | 186 interviewsAdd to research |
Azure Data Factory | 4.0 | 7.4% | 92% | 92 interviewsAdd to research |
Company Size | Count |
---|---|
Small Business | 20 |
Midsize Enterprise | 16 |
Large Enterprise | 35 |
Company Size | Count |
---|---|
Small Business | 389 |
Midsize Enterprise | 264 |
Large Enterprise | 1173 |
SSIS was previously known as SQL Server Integration Services.
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
Author info | Rating | Review Summary |
---|---|---|
Managing Director at Knights Innovation Support Centre | 4.0 | As 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 Informatica | 4.0 | I 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 Optum | 4.0 | We 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 Invest | 2.5 | I 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. | 4.0 | We 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 employees | 4.0 | In 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 Technology | 4.0 | I 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 Capgemini | 4.0 | I 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. |