IBM InfoSphere Information Server vs. Melissa Data Quality Suite

Overview
ProductRatingMost Used ByProduct SummaryStarting Price
IBM InfoSphere Information Server
Score 8.0 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
Melissa Data Quality Suite
Score 9.1 out of 10
N/A
The Data Quality Suite from Melissa headquartered in San Margarita, helps organizations of all sizes verify and maintain data so they can effectively communicate with their customers via postal mail, email or phone.N/A
Pricing
IBM InfoSphere Information ServerMelissa Data Quality Suite
Editions & Modules
No answers on this topic
No answers on this topic
Offerings
Pricing Offerings
IBM InfoSphere Information ServerMelissa Data Quality Suite
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 ServerMelissa Data Quality Suite
Features
IBM InfoSphere Information ServerMelissa Data Quality Suite
Data Source Connection
Comparison of Data Source Connection features of Product A and Product B
IBM InfoSphere Information Server
8.7
4 Ratings
6% above category average
Melissa Data Quality Suite
-
Ratings
Connect to traditional data sources9.94 Ratings00 Ratings
Connecto to Big Data and NoSQL7.54 Ratings00 Ratings
Data Transformations
Comparison of Data Transformations features of Product A and Product B
IBM InfoSphere Information Server
9.6
4 Ratings
19% above category average
Melissa Data Quality Suite
-
Ratings
Simple transformations10.04 Ratings00 Ratings
Complex transformations9.24 Ratings00 Ratings
Data Modeling
Comparison of Data Modeling features of Product A and Product B
IBM InfoSphere Information Server
8.0
4 Ratings
3% above category average
Melissa Data Quality Suite
-
Ratings
Data model creation8.72 Ratings00 Ratings
Metadata management7.74 Ratings00 Ratings
Business rules and workflow8.44 Ratings00 Ratings
Collaboration8.04 Ratings00 Ratings
Testing and debugging7.14 Ratings00 Ratings
Data Governance
Comparison of Data Governance features of Product A and Product B
IBM InfoSphere Information Server
9.7
4 Ratings
20% above category average
Melissa Data Quality Suite
-
Ratings
Integration with data quality tools10.04 Ratings00 Ratings
Integration with MDM tools9.53 Ratings00 Ratings
Data Quality
Comparison of Data Quality features of Product A and Product B
IBM InfoSphere Information Server
-
Ratings
Melissa Data Quality Suite
8.3
1 Ratings
2% below category average
Data source connectivity00 Ratings8.01 Ratings
Data profiling00 Ratings9.01 Ratings
Master data management (MDM) integration00 Ratings8.01 Ratings
Data element standardization00 Ratings8.01 Ratings
Match and merge00 Ratings8.01 Ratings
Address verification00 Ratings9.01 Ratings
Best Alternatives
IBM InfoSphere Information ServerMelissa Data Quality Suite
Small Businesses
Skyvia
Skyvia
Score 10.0 out of 10
HubSpot Data Hub
HubSpot Data Hub
Score 8.3 out of 10
Medium-sized Companies
dbt
dbt
Score 9.1 out of 10
IBM InfoSphere Information Server
IBM InfoSphere Information Server
Score 8.0 out of 10
Enterprises
InterSystems IRIS
InterSystems IRIS
Score 7.8 out of 10
IBM InfoSphere Information Server
IBM InfoSphere Information Server
Score 8.0 out of 10
All AlternativesView all alternativesView all alternatives
User Ratings
IBM InfoSphere Information ServerMelissa Data Quality Suite
Likelihood to Recommend
8.9
(5 ratings)
9.0
(1 ratings)
Likelihood to Renew
8.0
(1 ratings)
-
(0 ratings)
User Testimonials
IBM InfoSphere Information ServerMelissa Data Quality Suite
Likelihood to Recommend
IBM
Information Server is extremely useful to replace manual developments that require a lot of coding effort. It significantly increases the productivity of the initial development and the future maintenance of the processes since it has a visual development environment with self-documentation.
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Melissa
The platform is best suited for detailed exploration and filtering that allow users to examine the specific records
that pass or fail a criterion and how they might relate to each other. It also assist in seeing past jobs and compare how quality has changed, providing
more context than just point values.
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Pros
IBM
  • IIS best for ETL ,not ELT , and many and diffrent source systems.
  • It also can process big data , unstuctured data
  • It is not only DWH , you can use infosphere for analys and see the bigger architecture of your OLTP systems
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Melissa
  • It provides ability to profile, discover, and validate data quality.
  • It allows to drill down into larger amounts of data.
  • It automatically suggests possible quality rules based on a statistical profile of the data.
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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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Melissa
  • It can expand connectivity to apply adaptive data quality rules to any data source.
  • It can employing more advanced transformation techniques to transform data for specific formats.
  • It can further continue on its existing capabilities like providing more enriched data curation.
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Likelihood to Renew
IBM
  • Scale of implementation
  • IBM techsupport
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Melissa
No answers on this topic
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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Melissa
No answers on this topic
Return on Investment
IBM
  • Productivity of the development of integration processes.
  • Better documentation and governance.
  • Reduce training costs of various technologies.
Read full review
Melissa
No answers on this topic
ScreenShots