IBM InfoSphere Information Server vs. SAP Data Quality Management

Overview
ProductRatingMost Used ByProduct SummaryStarting Price
IBM InfoSphere Information Server
Score 8.1 out of 10
N/A
IBM InfoSphere Information Server is a data integration platform used to understand, cleanse, monitor and transform data. The offerings provide massively parallel processing (MPP) capabilities.N/A
SAP Data Quality Management
Score 8.9 out of 10
N/A
SAP Business Objects Data Quality Management embeds data quality functionality into SAP applications.N/A
Pricing
IBM InfoSphere Information ServerSAP Data Quality Management
Editions & Modules
No answers on this topic
No answers on this topic
Offerings
Pricing Offerings
IBM InfoSphere Information ServerSAP Data Quality Management
Free Trial
NoNo
Free/Freemium Version
NoNo
Premium Consulting/Integration Services
NoNo
Entry-level Setup FeeNo setup feeNo setup fee
Additional Details
More Pricing Information
Community Pulse
IBM InfoSphere Information ServerSAP Data Quality Management
Top Pros
Top Cons
Features
IBM InfoSphere Information ServerSAP Data Quality Management
Data Source Connection
Comparison of Data Source Connection features of Product A and Product B
IBM InfoSphere Information Server
10.0
5 Ratings
20% above category average
SAP Data Quality Management
-
Ratings
Connect to traditional data sources10.05 Ratings00 Ratings
Connecto to Big Data and NoSQL10.05 Ratings00 Ratings
Data Transformations
Comparison of Data Transformations features of Product A and Product B
IBM InfoSphere Information Server
10.0
5 Ratings
18% above category average
SAP Data Quality Management
-
Ratings
Simple transformations10.05 Ratings00 Ratings
Complex transformations10.05 Ratings00 Ratings
Data Modeling
Comparison of Data Modeling features of Product A and Product B
IBM InfoSphere Information Server
9.7
5 Ratings
18% above category average
SAP Data Quality Management
-
Ratings
Data model creation10.03 Ratings00 Ratings
Metadata management10.05 Ratings00 Ratings
Business rules and workflow10.05 Ratings00 Ratings
Collaboration10.05 Ratings00 Ratings
Testing and debugging9.05 Ratings00 Ratings
Data Governance
Comparison of Data Governance features of Product A and Product B
IBM InfoSphere Information Server
9.5
5 Ratings
15% above category average
SAP Data Quality Management
-
Ratings
Integration with data quality tools10.05 Ratings00 Ratings
Integration with MDM tools9.04 Ratings00 Ratings
Data Quality
Comparison of Data Quality features of Product A and Product B
IBM InfoSphere Information Server
-
Ratings
SAP Data Quality Management
9.9
11 Ratings
13% above category average
Data source connectivity00 Ratings10.011 Ratings
Data profiling00 Ratings9.610 Ratings
Master data management (MDM) integration00 Ratings9.910 Ratings
Data element standardization00 Ratings9.910 Ratings
Match and merge00 Ratings9.910 Ratings
Address verification00 Ratings10.010 Ratings
Best Alternatives
IBM InfoSphere Information ServerSAP Data Quality Management
Small Businesses
Skyvia
Skyvia
Score 9.6 out of 10
HubSpot Operations Hub
HubSpot Operations Hub
Score 8.0 out of 10
Medium-sized Companies
dbt
dbt
Score 9.4 out of 10
IBM InfoSphere Information Server
IBM InfoSphere Information Server
Score 8.1 out of 10
Enterprises
Astera Centerprise
Astera Centerprise
Score 8.8 out of 10
IBM InfoSphere Information Server
IBM InfoSphere Information Server
Score 8.1 out of 10
All AlternativesView all alternativesView all alternatives
User Ratings
IBM InfoSphere Information ServerSAP Data Quality Management
Likelihood to Recommend
10.0
(6 ratings)
9.3
(11 ratings)
Likelihood to Renew
8.0
(1 ratings)
-
(0 ratings)
Support Rating
-
(0 ratings)
8.2
(1 ratings)
Product Scalability
-
(0 ratings)
10.0
(1 ratings)
User Testimonials
IBM InfoSphere Information ServerSAP Data Quality Management
Likelihood to Recommend
IBM
It's super terrific with workflow automation. Terrific with data backup and convenient with encryption of data. Reliable with asset management Great to discover virtual servers
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SAP
When reporting, we use accurate data with no duplications since they are addressed by SAP DQM, we get the right target audience by analyzing marketing data, and also helps us to understand the current situation of our firm by comparing metrics.
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Pros
IBM
  • Any source to any target support.
  • ETL flexibility without coding.
  • Extreme data volume processing.
  • Native integration with other Data integration functionalities such as data profiling, data cleansing, metadata management.
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SAP
  • Eliminate all data duplicates, which affects the space and the inefficiency of the database.
  • Further, SAP Data Quality Management has determined address cleaner, very friendly in making systems and data verification a success.
  • Simplistic customization strategies, that personalize all the business processes.
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Cons
IBM
  • I would be nice to have a new web development environment for DataStage.
  • Connectivity Packs such as Pack for SAP Application are a little pricey.
  • It is confusing for new developers the possibility of developing jobs using different execution engines such as Parallel or Server.
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SAP
  • Sometimes it is hard to find which is the correct report to run to find the desired details.
  • We attach contractor invoices in SAP and it isn't very easy to get in to them.
  • The user interface could overall use a little work to make the system more user friendly and ultimately more efficient to use.
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Likelihood to Renew
IBM
  • Scale of implementation
  • IBM techsupport
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SAP
No answers on this topic
Support Rating
IBM
No answers on this topic
SAP
As with other SAP products, there is excellent support from SAP on this new tool.
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Alternatives Considered
IBM
DataStage is more robust and stable than ODI The ability to perform complex transformations or implement business rules is much more developed in DS
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SAP
The client was on a SAP platform for most of their applications and also is planning to implement SAP Hana very soon. This tool was fitting good for the requirement of the client to manage the quality of the data and hence adapt it in the system. Also, it can go well with the BO reporting.
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Return on Investment
IBM
  • If you don't use all of the product family, it will be expensive. But if you want to plan use all the products and you will position it in the center of your infrastructure ROI will be effective.
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SAP
  • The merging of data, from numerous sources, makes the metrics of analytics accurate and they manage decisions.
  • Besides, SAP Data Quality has a robust cleansing tool for data, making it effective to obtain it from different secure and affirmed sources.
  • Finally, SAP Data Quality deals with sales analysis, very reputable in making information available for competitive market support.
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ScreenShots