IBM InfoSphere QualityStage vs. Informatica Cloud Data Integration vs. SAP Data Quality Management

Overview
ProductRatingMost Used ByProduct SummaryStarting Price
IBM InfoSphere QualityStage
Score 9.5 out of 10
N/A
IBM InfoSphere QualityStage is a data quality offering from IBM.N/A
Informatica Cloud Data Integration
Score 8.4 out of 10
N/A
Informatica Cloud Data Integration, for Cloud ETL and ELT, enables users to ingest, integrate and cleanse data within Informatica's cloud-native ETL and ELT solution. Users can link source and target data with thousands of connectors that recognize metadata, to make it easier to run complex integrations.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 QualityStageInformatica Cloud Data IntegrationSAP Data Quality Management
Editions & Modules
No answers on this topic
No answers on this topic
No answers on this topic
Offerings
Pricing Offerings
IBM InfoSphere QualityStageInformatica Cloud Data IntegrationSAP Data Quality Management
Free Trial
NoYesNo
Free/Freemium Version
NoNoNo
Premium Consulting/Integration Services
NoNoNo
Entry-level Setup FeeNo setup feeNo setup feeNo setup fee
Additional Details
More Pricing Information
Community Pulse
IBM InfoSphere QualityStageInformatica Cloud Data IntegrationSAP Data Quality Management
Features
IBM InfoSphere QualityStageInformatica Cloud Data IntegrationSAP Data Quality Management
Data Quality
Comparison of Data Quality features of Product A and Product B
IBM InfoSphere QualityStage
8.1
2 Ratings
4% below category average
Informatica Cloud Data Integration
-
Ratings
SAP Data Quality Management
9.9
10 Ratings
16% above category average
Data source connectivity9.02 Ratings00 Ratings10.010 Ratings
Data profiling7.42 Ratings00 Ratings9.69 Ratings
Master data management (MDM) integration8.02 Ratings00 Ratings9.99 Ratings
Data element standardization8.02 Ratings00 Ratings9.99 Ratings
Match and merge7.32 Ratings00 Ratings9.99 Ratings
Address verification9.02 Ratings00 Ratings10.09 Ratings
Data Source Connection
Comparison of Data Source Connection features of Product A and Product B
IBM InfoSphere QualityStage
-
Ratings
Informatica Cloud Data Integration
10.0
2 Ratings
19% above category average
SAP Data Quality Management
-
Ratings
Connect to traditional data sources00 Ratings10.02 Ratings00 Ratings
Connecto to Big Data and NoSQL00 Ratings10.02 Ratings00 Ratings
Data Transformations
Comparison of Data Transformations features of Product A and Product B
IBM InfoSphere QualityStage
-
Ratings
Informatica Cloud Data Integration
8.5
2 Ratings
4% above category average
SAP Data Quality Management
-
Ratings
Simple transformations00 Ratings10.02 Ratings00 Ratings
Complex transformations00 Ratings7.02 Ratings00 Ratings
Data Modeling
Comparison of Data Modeling features of Product A and Product B
IBM InfoSphere QualityStage
-
Ratings
Informatica Cloud Data Integration
8.3
2 Ratings
5% above category average
SAP Data Quality Management
-
Ratings
Data model creation00 Ratings9.01 Ratings00 Ratings
Metadata management00 Ratings9.01 Ratings00 Ratings
Business rules and workflow00 Ratings9.01 Ratings00 Ratings
Collaboration00 Ratings7.02 Ratings00 Ratings
Testing and debugging00 Ratings7.02 Ratings00 Ratings
Data Governance
Comparison of Data Governance features of Product A and Product B
IBM InfoSphere QualityStage
-
Ratings
Informatica Cloud Data Integration
9.0
1 Ratings
12% above category average
SAP Data Quality Management
-
Ratings
Integration with data quality tools00 Ratings9.01 Ratings00 Ratings
Integration with MDM tools00 Ratings9.01 Ratings00 Ratings
Best Alternatives
IBM InfoSphere QualityStageInformatica Cloud Data IntegrationSAP Data Quality Management
Small Businesses
HubSpot Data Hub
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Score 8.4 out of 10
Medium-sized Companies
IBM InfoSphere Information Server
IBM InfoSphere Information Server
Score 8.0 out of 10
IBM InfoSphere Information Server
IBM InfoSphere Information Server
Score 8.0 out of 10
IBM InfoSphere Information Server
IBM InfoSphere Information Server
Score 8.0 out of 10
Enterprises
IBM InfoSphere Information Server
IBM InfoSphere Information Server
Score 8.0 out of 10
IBM InfoSphere Information Server
IBM InfoSphere Information Server
Score 8.0 out of 10
IBM InfoSphere Information Server
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User Ratings
IBM InfoSphere QualityStageInformatica Cloud Data IntegrationSAP Data Quality Management
Likelihood to Recommend
9.0
(2 ratings)
8.0
(2 ratings)
9.2
(10 ratings)
Usability
-
(0 ratings)
6.0
(1 ratings)
-
(0 ratings)
Support Rating
-
(0 ratings)
-
(0 ratings)
8.2
(1 ratings)
Product Scalability
-
(0 ratings)
-
(0 ratings)
10.0
(1 ratings)
User Testimonials
IBM InfoSphere QualityStageInformatica Cloud Data IntegrationSAP Data Quality Management
Likelihood to Recommend
IBM
Standardization of data using rules for names and addresses. Possibility of building our own rules to standardize other data. Contruction of complex rules of matching and consolidation of data. Native integration with ETL tools and data governance.
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Informatica
We use it a lot for importing data. We transform the incoming data to match the formatting of our CRM. We also match on existing records to avoid creating duplicates. Informatica handles all of this exceptionally well. Our users are system administrators. The tool is not well-suited for users who do not have a technical background
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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
  • Create rules
  • Standardization and normalization of data
  • Integration with DataStage
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Informatica
  • Data synchronisation
  • Data replication
  • Data integration
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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
  • Should include all the data profiling functionality
  • Better features to tune matching capability
  • Include AI to automatically recommend actions to improve processes
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Informatica
  • There is a moderately steep learning curve
  • Has some idiosyncrasies
  • Can be finicky with date formats
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SAP
  • Does not support three-dimensional databases
  • Does not allow multi-hosting of server
  • Does not allow multi data hosting and data mirroring for data safety
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Usability
IBM
No answers on this topic
Informatica
There is a learning curve with Informatica. It is not always intuitive to use. It is best suited for technical users such as system administrators
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SAP
No answers on this topic
Support Rating
IBM
No answers on this topic
Informatica
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
It is a robust tool. It can be integrated with several DB. It works very well with DS. You can create your rules, and define the percentage of standardization or normalization
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Informatica
It is really easy to comply and understand its features.
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SAP
SAP Data Quality supports the integration with significant sources, but security and accuracy are maintained and enhanced. Besides, SAP Data Quality eliminates the data duplicates, a solution that saves on space, and improves the loading power of any system. More so, SAP Data Quality plays a vital role in data monitoring, which concentrates on authentic processes and efficient system management.
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Return on Investment
IBM
  • Improving Data Quality
  • Reducing costs due to better Data Quality
  • Single view of customer / product
  • Better data governance
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Informatica
  • Really greatest than any other conventional application.
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SAP
  • Data connectivity and integration back up any analytical procedures, hence, offering top-notch and standard results.
  • The data preparation and security outlines make businesses stand and have real-time decisions.
  • Finally, SAP Data Quality has a focused storage platform, that governs and controls even the largest database.
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ScreenShots