IBM InfoSphere Information Server

IBM InfoSphere Information Server is an advanced data integration platform that enables you to cleanse, monitor, transform and deliver data. The scalable solution provides massively parallel processing capabilities to help you manage small to very large data volumes. It helps you deliver trusted information to your key business initiatives such as big data and analytics, data warehouse modernization and master data management.

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8.0/10 (Expert Score) ★★★★★
Product is rated as #33 in category Data Quality Software
Ease of use
6.9
Support
8.0
Ease of Setup
6.5

Better understand your data and cleanse, monitor, transform and deliver it.

Build confidence in your data
Delivers clean, consistent and timely information for your data warehouses or big data projects and applications.

Create a flexible governance strategy
Helps you adapt a data governance strategy to suit your organizational objectives, while shaping business information in unique ways to meet your needs.

Modernize and consolidate your systems
Enables you to consolidate applications, retire outdated databases and modernize your infrastructure, as well as automate business processes for improved cost savings.

Connect business and IT
Provides a unified platform that enables collaboration, which can help you bridge the gap between business and IT and align objectives.

IBM InfoSphere Information Server
IBM InfoSphere Information Server

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Customer Reviews

IBM InfoSphere Information Server Reviews

Administrator in Medical Devices

Advanced user of IBM InfoSphere Information Server
★★★★★
Decent product for mid to large size companies. Too much for small (less than 5b)

What do you like best?

scalable and solid integration capabilities

What do you dislike?

Pricing on licensing could be cumbersome and expensive

Recommendations to others considering the product:

Oracle Agile, SAP

What problems are you solving with the product? What benefits have you realized?

Transparency for Master Data (Governance) and proactive signaling of data defects.

Review source: G2.com

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