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IBM InfoSphere Information Server

IBM InfoSphere Information Server

Overview

What is IBM InfoSphere Information Server?

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.

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Recent Reviews

IBM InfoSphere DataStage Review

9 out of 10
September 12, 2018
We have used DataStage for many years to be able to create the integrations for the loading of the DW or migrations in different companies …
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Awards

Products that are considered exceptional by their customers based on a variety of criteria win TrustRadius awards. Learn more about the types of TrustRadius awards to make the best purchase decision. More about TrustRadius Awards

Popular Features

View all 11 features
  • Connect to traditional data sources (5)
    10.0
    100%
  • Connecto to Big Data and NoSQL (5)
    10.0
    100%
  • Simple transformations (5)
    10.0
    100%
  • Complex transformations (5)
    10.0
    100%
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Product Demos

CognosBusinessUserBusinessTermIntegration

YouTube
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Features

Data Source Connection

Ability to connect to multiple data sources

10
Avg 8.2

Data Transformations

Data transformations include calculations, search and replace, data normalization and data parsing

10
Avg 8.4

Data Modeling

A data model is a diagram or flowchart that illustrates the relationships between data

9.7
Avg 8.1

Data Governance

Data governance is the practise of implementing policies defining effective use of an organization's data assets

9.5
Avg 8.2
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Product Details

What is IBM InfoSphere Information Server?

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.

IBM® InfoSphere® Information Server Enterprise Edition's capabilities include automated data discovery, policy-driven governance, self-service data preparation, data quality assessment and cleansing for data in flight and at rest, and advanced dynamic or batch data transformation and movement. It helps deliver business-ready data to key business initiatives such as big data, data lakes, data warehouse modernization and master data management — either on premises, private cloud, public cloud or hyperconverged systems like IBM Cloud Pak® for Data.



IBM InfoSphere Information Server Competitors

IBM InfoSphere Information Server Technical Details

Operating SystemsUnspecified
Mobile ApplicationNo

Frequently Asked Questions

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.

SAP NetWeaver MDM and Oracle Data Integrator (ODI) are common alternatives for IBM InfoSphere Information Server.

Reviewers rate Connect to traditional data sources and Connecto to Big Data and NoSQL and Simple transformations highest, with a score of 10.

The most common users of IBM InfoSphere Information Server are from Enterprises (1,001+ employees).
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Comparisons

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Reviews and Ratings

(37)

Attribute Ratings

Reviews

(1-6 of 6)
Companies can't remove reviews or game the system. Here's why
jamie anderson | TrustRadius Reviewer
Score 10 out of 10
Vetted Review
Verified User
Incentivized
  • It's very impressive with data encryption.
  • Terrific for effectiveness with workflow management.
  • Great with configuration, tuning and repair of data.
  • Ease of use.
  • It's a great software with data configuration and encryption.
  • Reliable with ease of installation but requires expertise.
  • Excellent with workflow management.
Karina Gonzalez | TrustRadius Reviewer
Score 9 out of 10
Vetted Review
Verified User
  • 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.
  • 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.
Score 9 out of 10
Vetted Review
Verified User
  • 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
  • Schedule of the processes
  • Process versioning
  • Deploy of versioned processes between environments. Revision of previous versions
Gunes INAL | TrustRadius Reviewer
Score 8 out of 10
Vetted Review
Verified User
Incentivized
  • 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
  • Infosphere may improve its logging system. If you dont familier logs of infosphere it's little bit hard to understand
Gonzalo Angeleri | TrustRadius Reviewer
Score 9 out of 10
Vetted Review
ResellerIncentivized
  • ETL capabilities, integrating data from any source system to any destination.
  • MPP Processing Engine
  • Data Profiling & Data Cleansing capabilities with multi-country support for common data such as names and addresses
  • Metatada management capabilities not only within the platform but also with 3er party tools like BI tools
  • 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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