IBM InfoSphere Information Server vs. Sama

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
Sama
Score 0.0 out of 10
N/A
Sama, headquartered in San Francisco, provides training data that powers AI technology. The company’s platform boasts users among companies such as Google, NVIDIA, GM, and Walmart, to develop accurate machine learning models. Sama specializes in image, video, language, and sensor data annotation and validation for machine learning algorithms and has experience in a variety of industries including autonomous transportation, medtech, agriculture, and retail.N/A
Pricing
IBM InfoSphere Information ServerSama
Editions & Modules
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Offerings
Pricing Offerings
IBM InfoSphere Information ServerSama
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 ServerSama
Features
IBM InfoSphere Information ServerSama
Data Source Connection
Comparison of Data Source Connection features of Product A and Product B
IBM InfoSphere Information Server
10.0
Ratings
18% above category average
Sama
-
Ratings
Connect to traditional data sources10.00 Ratings00 Ratings
Connecto to Big Data and NoSQL10.00 Ratings00 Ratings
Data Transformations
Comparison of Data Transformations features of Product A and Product B
IBM InfoSphere Information Server
10.0
Ratings
20% above category average
Sama
-
Ratings
Simple transformations10.00 Ratings00 Ratings
Complex transformations10.00 Ratings00 Ratings
Data Modeling
Comparison of Data Modeling features of Product A and Product B
IBM InfoSphere Information Server
9.7
Ratings
20% above category average
Sama
-
Ratings
Data model creation10.00 Ratings00 Ratings
Metadata management10.00 Ratings00 Ratings
Business rules and workflow10.00 Ratings00 Ratings
Collaboration10.00 Ratings00 Ratings
Testing and debugging9.00 Ratings00 Ratings
Data Governance
Comparison of Data Governance features of Product A and Product B
IBM InfoSphere Information Server
9.5
Ratings
16% above category average
Sama
-
Ratings
Integration with data quality tools10.00 Ratings00 Ratings
Integration with MDM tools9.00 Ratings00 Ratings
User Ratings
IBM InfoSphere Information ServerSama
Likelihood to Recommend
10.0
(0 ratings)
-
(0 ratings)
Likelihood to Renew
8.0
(0 ratings)
-
(0 ratings)
User Testimonials
IBM InfoSphere Information ServerSama
Likelihood to Recommend
You can use infosphere: -If you have multiple targets and source systems and they are different than each other. -If your infostructure is so big and unplaned well so you can't find what you want to see. -If your databases not so strong to process your data
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Pros
  • It is very strong to make transformations/data derivations
  • It is very easy to connect to various external data sources. It has an interface (stages) for each connection that simplifies the task
  • It is a stable platform. And that parallelism helps make it fast for loading, if the process is well designed
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Cons
  • Lack of a strong web development environment.
  • Metadata propagation in Jobs is somewhat complex.
  • The possibility to develop jobs in Parallel and/or Server Engines is confusing.
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Likelihood to Renew
  • Scale of implementation
  • IBM techsupport
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Alternatives Considered
I particularly believe that Information Server, especially DataStage, is superior in many aspects to the Oracle Data Integrator tool. Several market analysts such as Gartner and / or Forrester better position DataStage on the Oracle solution.
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Return on Investment
  • Information Server can positively impact the costs of companies by increasing the productivity of development and therefore reduce their time and costs. It is estimated that DataStage can increase a developer's productivity by 40% on average.
  • Better data governance
  • Improve data quality and reduce bad data impacts
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ScreenShots