IBM InfoSphere Information Server and erwin Data Catalog by Quest are key players in the data management space, offering distinct advantages. While erwin Data Catalog often stands out for its features, IBM InfoSphere Information Server is notable for its pricing and support, yet many consider erwin's features worth the additional investment.
Features: IBM InfoSphere Information Server offers comprehensive data integration capabilities, robust governance tools, and scalability. Erwin Data Catalog by Quest delivers data discovery, metadata management, and an intuitive interface for data cataloging. IBM's strength lies in integration and governance, while erwin is recognized for its data cataloging and ease of use.
Ease of Deployment and Customer Service: erwin Data Catalog by Quest is known for straightforward deployment and responsive support, which appeals to organizations seeking quick implementation. IBM InfoSphere Information Server provides more extensive deployment options that usually require more upfront effort, offering versatile solutions. IBM's customer service is well-regarded but involves more complex procedures due to the product's depth.
Pricing and ROI: IBM InfoSphere Information Server offers competitive pricing schemes with a focus on long-term ROI through its extensive features and integration capabilities. erwin Data Catalog by Quest is perceived as delivering faster ROI due to its streamlined deployment and efficient metadata management. IBM may involve higher initial setup costs, but its extensive feature set and scalable solutions drive substantial long-term value.
erwin Data Catalog (DC), part of the erwin Data Intelligence Suite, automates enterprise metadata management, including data mapping, code generation, data profiling, data lineage and impact analysis. It integrates and activates data in a single, unified catalog in accordance with business requirements by scheduling ongoing scans of metadata from the widest array of data sources, keeping metadata current with full versioning and change management, and easily mapping data elements from source to target, including data at rest and in motion, and harmonize data integration across platforms.
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