Informatica Data Integration Hub Scalability

MG
Data Analyst at a university with 1,001-5,000 employees

The product offers two types of scaling mechanisms. We can add more nodes, integrate the service grid, and distribute workloads across multiple processing units. Also, we can add more resources, including CPU memory. It enhances the capability to handle large data volumes.

We can even utilize the load-balancing feature while handling high volumes of data. I rate the scalability an eight out of ten for efficient adaptability, pricing, and performance.

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HS
Product Owner - Data Management at Maersk

It's quite simple to scale the solution. We have about 30,000 users, but I don't see a limitation on the solution that would stop you from having more.

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Buyer's Guide
Data Integration
April 2024
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