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Compare IBM InfoSphere DataStage vs. erwin Data Catalog

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Pricing and Cost Advice
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"The cost is too high.""It's very expensive.""Our internal team takes care of group licensing and cost. We don't have individual licenses. We have group licensing at the company level. Usually, IBM doesn't charge anything separately on the licensing side. For storage and everything else, we are paying around $6,000 per month, which is not very high. It includes Linux data storage, execution, and licensing. They're charging $40 for one-hour execution. Based on that, we are spending around $2,000 on the production environment and $1,000 on the lower environment for testing and development-side executions. For the mainframe, we are using the Db2 mainframe database, and we are spending around $1,000 on the Db2 mainframe database as well. All this comes out to be around $6,000. We, however, would like to have some cost reduction.""The price is expensive but there are no licensing fees.""It is quite expensive.""It's quite expensive."

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Questions from the Community
Top Answer: There are two products I know about * TimeXtender : Microsoft based, Transformation logic is quiet good and can easily be extended with T-SQL , Has a semantic layer that generates metat data for… more »
Top Answer: The solution is currently lacking virtualization ability. If they were to include it, it could be a good evolution on this framework. I'd like to see an improvement in support and a more customer… more »
Ranking
9th
out of 23 in Metadata Management
Views
1,024
Comparisons
784
Reviews
0
Average Words per Review
0
Rating
N/A
6th
Views
15,625
Comparisons
12,802
Reviews
11
Average Words per Review
404
Rating
7.5
Comparisons
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Overview

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.

IBM InfoSphere DataStage integrates data across multiple systems using a high performance parallel framework, and it supports extended metadata management and enterprise connectivity. The scalable platform provides more flexible integration of all types of data, including big data at rest (Hadoop-based) or in motion (stream-based), on distributed and mainframe platforms.
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Learn more about IBM InfoSphere DataStage
Sample Customers
Balfour Beatty Construction, Banco de México, BFSI Canada, CenturyLink, Daktronics
Dubai Statistics Center, Etisalat Egypt
Top Industries
VISITORS READING REVIEWS
Computer Software Company26%
Financial Services Firm13%
Comms Service Provider12%
Government8%
REVIEWERS
Computer Software Company63%
Aerospace/Defense Firm13%
Healthcare Company13%
Financial Services Firm13%
VISITORS READING REVIEWS
Computer Software Company28%
Comms Service Provider14%
Financial Services Firm12%
Insurance Company6%
Company Size
No Data Available
REVIEWERS
Small Business42%
Midsize Enterprise4%
Large Enterprise54%

erwin Data Catalog is ranked 9th in Metadata Management while IBM InfoSphere DataStage is ranked 6th in Data Integration Tools with 12 reviews. erwin Data Catalog is rated 0.0, while IBM InfoSphere DataStage is rated 7.6. On the other hand, the top reviewer of IBM InfoSphere DataStage writes "Robust, easy to use, has a simple error logging mechanism, and works very well for huge volumes of data". erwin Data Catalog is most compared with Azure Data Factory, WhereScape RED, Talend Open Studio, Alation Data Catalog and Mule Anypoint Platform, whereas IBM InfoSphere DataStage is most compared with SSIS, Talend Open Studio, Azure Data Factory, Informatica PowerCenter and IBM InfoSphere Information Server.

We monitor all Metadata Management reviews to prevent fraudulent reviews and keep review quality high. We do not post reviews by company employees or direct competitors. We validate each review for authenticity via cross-reference with LinkedIn, and personal follow-up with the reviewer when necessary.