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Informatica PowerExchange [EOL] Reviews

Vendor: Informatica
4.0 out of 5

What is Informatica PowerExchange [EOL]?

Featured Informatica PowerExchange [EOL] reviews

PeerResearch reports based on Informatica PowerExchange [EOL] reviews

TypeTitleDate
CategoryData IntegrationMar 6, 2026Download
ProductReviews, tips, and advice from real usersMar 6, 2026Download
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Key learnings from peers
Last updated Dec 11, 2025

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 Business8
Midsize Enterprise2
Large Enterprise10
By reviewers
By visitors reading reviews
Company SizeCount
Small Business52
Midsize Enterprise24
Large Enterprise168
By visitors reading reviews

Top industries

By visitors reading reviews
Financial Services Firm
24%
Manufacturing Company
6%
Government
6%
Marketing Services Firm
5%
Computer Software Company
5%
Educational Organization
5%
Insurance Company
4%
Non Profit
4%
Healthcare Company
4%
Retailer
4%
Comms Service Provider
4%
Transportation Company
4%
Consumer Goods Company
3%
Energy/Utilities Company
3%
Real Estate/Law Firm
3%
Outsourcing Company
2%
Aerospace/Defense Firm
2%
University
2%
Performing Arts
2%
Construction Company
2%
Recreational Facilities/Services Company
1%
Wholesaler/Distributor
1%
Media Company
1%
Pharma/Biotech Company
1%

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Informatica PowerExchange [EOL] customers

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Informatica PowerExchange [EOL] Reviews Summary
Author infoRatingReview Summary
Sr. IT & Data Governance and Management Consultant & Technical Lead at a government with 51-200 employees5.0I use Informatica PowerExchange for data sharing across Middle Eastern government entities, appreciating its governance features and cost-efficiency. While it streamlines integrations, it could improve by offering more metadata and data quality dashboards for better data profiling.
Senior Analyst at North Oil Company4.5I use Informatica PowerExchange to connect unsupported source systems with Informatica, benefiting from its native connectivity. It effectively supports real-time data streaming with Kafka, though it could improve performance and stability under heavy data loads and network issues.
IT Manager - Data Quality and Migration at a manufacturing company with 10,001+ employees5.0I use Informatica PowerExchange to connect with non-Oracle services, particularly SAP solutions, and to build our data warehouse. It's a scalable tool for data extraction, though I haven't engaged in improvements yet, having limited exposure so far.
Sr. Technical Engineer at Investcorp Bank BSC3.5I have implemented Informatica PowerExchange across various industries, finding it essential for digital transformation and data connectivity. However, challenges include sluggish support and infrastructure issues, though it offers cost savings of 30 to 40 percent.
Senior Business Development Manager at BBI4.5We use Informatica PowerExchange for data integration by consolidating siloed data into a central data warehouse. Its flexibility with open APIs and fast data capture is valuable, though it's less suitable for application integration as the market progresses towards cloud solutions.
Vice President --Analytics & Digital Transformation at Polestar Solutions & Services India Pvt Ltd4.5I use Informatica PowerExchange for data integration and building data warehouses or lakes. It integrates planning tools but needs improvements in log functionality and cost. It has issues with identifying broken pipelines, impacting user visibility and maintenance.
Consultant at a government with 10,001+ employees4.0We use Informatica PowerExchange for batch loading in data warehousing and real-time data capturing. Valuable features include near real-time data capture, though initial setup faced challenges due to network settings, and support was insufficient, making installation cumbersome.
Data architect at Banking Sector4.0We use Informatica PowerExchange to efficiently fill our data warehouse from over 60 sources with 1500 pipelines. Its strengths include fast data population and excellent big data handling, though the UI and pricing need improvement due to multiple tool requirements.