IBM InfoSphere Information Server vs. SAS Data Management

Overview
ProductRatingMost Used ByProduct SummaryStarting Price
IBM InfoSphere Information Server
Score 8.2 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
SAS Data Management
Score 8.0 out of 10
N/A
A suite of solutions for data connectivity, enhanced transformations and robust governance. Solutions provide a unified view of data with access to data across databases, data warehouses and data lakes. Connects with cloud platforms, on-premises systems and multicloud data sources.N/A
Pricing
IBM InfoSphere Information ServerSAS Data Management
Editions & Modules
No answers on this topic
No answers on this topic
Offerings
Pricing Offerings
IBM InfoSphere Information ServerSAS Data 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 ServerSAS Data Management
Top Pros
Top Cons
Features
IBM InfoSphere Information ServerSAS Data Management
Data Source Connection
Comparison of Data Source Connection features of Product A and Product B
IBM InfoSphere Information Server
10.0
5 Ratings
19% above category average
SAS Data Management
8.3
10 Ratings
1% above category average
Connect to traditional data sources10.05 Ratings8.610 Ratings
Connecto to Big Data and NoSQL10.05 Ratings8.19 Ratings
Data Transformations
Comparison of Data Transformations features of Product A and Product B
IBM InfoSphere Information Server
10.0
5 Ratings
17% above category average
SAS Data Management
6.7
8 Ratings
22% below category average
Simple transformations10.05 Ratings6.18 Ratings
Complex transformations10.05 Ratings7.48 Ratings
Data Modeling
Comparison of Data Modeling features of Product A and Product B
IBM InfoSphere Information Server
9.7
5 Ratings
17% above category average
SAS Data Management
6.7
8 Ratings
20% below category average
Data model creation10.03 Ratings5.56 Ratings
Metadata management10.05 Ratings7.47 Ratings
Business rules and workflow10.05 Ratings6.67 Ratings
Collaboration10.05 Ratings7.07 Ratings
Testing and debugging9.05 Ratings6.17 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
SAS Data Management
7.9
9 Ratings
4% below category average
Integration with data quality tools10.05 Ratings7.69 Ratings
Integration with MDM tools9.04 Ratings8.27 Ratings
Best Alternatives
IBM InfoSphere Information ServerSAS Data Management
Small Businesses
Skyvia
Skyvia
Score 9.6 out of 10
Skyvia
Skyvia
Score 9.6 out of 10
Medium-sized Companies
dbt
dbt
Score 9.4 out of 10
IBM InfoSphere Information Server
IBM InfoSphere Information Server
Score 8.2 out of 10
Enterprises
Astera Centerprise
Astera Centerprise
Score 8.8 out of 10
IBM InfoSphere Information Server
IBM InfoSphere Information Server
Score 8.2 out of 10
All AlternativesView all alternativesView all alternatives
User Ratings
IBM InfoSphere Information ServerSAS Data Management
Likelihood to Recommend
10.0
(6 ratings)
7.6
(11 ratings)
Likelihood to Renew
8.0
(1 ratings)
9.0
(2 ratings)
Usability
-
(0 ratings)
6.0
(2 ratings)
Performance
-
(0 ratings)
9.0
(1 ratings)
Support Rating
-
(0 ratings)
7.7
(6 ratings)
User Testimonials
IBM InfoSphere Information ServerSAS Data 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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SAS
When data is in a system that needs a complex transformation to be usable for an average user. Such tasks as data residing in systems that have very different connection speeds. It can be integrated and used together after passing through the SAS Data Integration Studio removing timing issues from the users' worries. A part that is perhaps less appropriate is getting users who are not familiar with the source data to set up the load processes.
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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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SAS
  • SAS/Access is great for manipulating large and complex databases.
  • SAS/Access makes it easy to format reports and graphics from your data.
  • Data Management and data storage using the Hadoop environment in SAS/Access allows for rapid analysis and simple programming language for all your data needs.
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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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SAS
  • Requires third-party drivers to connect to common data sources like SFDC, MS SQL, Postgres.
  • Debugging errors from the logs is a complicated process.
  • E-mail alert system is very primitive and needs customization to make it more modern,
  • Cannot send SMS alerts for jobs.
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Likelihood to Renew
IBM
  • Scale of implementation
  • IBM techsupport
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SAS
We are happy with the software and its functionality. As a SAS-shop, DataFlux is a logical choice for complex data integration.
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Usability
IBM
No answers on this topic
SAS
The main negative point is the use of a non-standard language for customizations, as well as the poor integration with non-SAS systems. However, there is no doubt that it is a high-performance and powerful product capable of responding optimally to certain requirements.
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Performance
IBM
No answers on this topic
SAS
It worked as expected.
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Support Rating
IBM
No answers on this topic
SAS
With SAS, you pay a license fee annually to use this product. Support is incredible. You get what you pay for, whether it's SAS forums on the SAS support site, technical support tickets via email or phone calls, or example documentation. It's not open source. It's documented thoroughly, and it works.
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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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SAS
Because of ease of using SAS DI and data processing speed. There were lots of issues with AWS Redshift on cloud environment in terms of making connections with the data sources and while fetching the data we need to write complex queries.
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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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SAS
  • We have more users who can connect to the many different data sources.
  • Our users do have existing SAS programming knowledge and that can carry over.
  • Business functions are starting to rely on SAS Data Integration Studio work product shortly after introduction.
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