Skip to main content
TrustRadius
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.

Read more
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 …
Continue reading
Read all reviews

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%
Return to navigation

Product Demos

CognosBusinessUserBusinessTermIntegration

YouTube
Return to navigation

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
Return to navigation

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).
Return to navigation

Comparisons

View all alternatives
Return to navigation

Reviews and Ratings

(37)

Attribute Ratings

Reviews

(1-4 of 4)
Companies can't remove reviews or game the system. Here's why
October 30, 2018

Excellent ETL Option for Corporate Data Integration

Karina Gonzalez | TrustRadius Reviewer
Karina Gonzalez
Manager Data Management
Tenaris (Oil & Energy, 10,001+ employees)
Score 9 out of 10
Vetted Review
Verified User
Use Cases and Deployment Scope
InfoSphere Information Server is used primarily as a corporate data integration platform. It allows to integrate data from several different commercial and industrial systems. It is a cross-departamental integration platform for extracting, transforming and loading data.
Pros and Cons
  • 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.
Likelihood to Recommend
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.
IBM InfoSphere Information Server Feature Ratings
Data Source Connection (2)
90%
9.0
Connect to traditional data sources
100%
10.0
Connecto to Big Data and NoSQL
80%
8.0
Data Transformations (2)
95%
9.5
Simple transformations
100%
10.0
Complex transformations
90%
9.0
Data Modeling (4)
72.5%
7.3
Metadata management
80%
8.0
Business rules and workflow
70%
7.0
Collaboration
70%
7.0
Testing and debugging
70%
7.0
Data Governance (2)
50%
5.0
Integration with data quality tools
100%
10.0
Integration with MDM tools
N/A
N/A
Return on Investment
  • Productivity of the development of integration processes.
  • Better documentation and governance.
  • Reduce training costs of various technologies.
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.
Other Software Used
September 12, 2018

IBM InfoSphere DataStage Review

Verified User
Project Manager in Other
Warehousing Company, 51-200 employees
Score 9 out of 10
Vetted Review
Verified User
Use Cases and Deployment Scope
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 of different industries
Pros and Cons
  • 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
Likelihood to Recommend
Well suited:
  • Handling large amounts of data
  • Complex processes that require high levels of transformation
  • Connections to different data sources
Less appropriate
  • To use it as a workflow for execution of stored procedures
  • For file manipulation
IBM InfoSphere Information Server Feature Ratings
Data Source Connection (2)
80%
8.0
Connect to traditional data sources
100%
10.0
Connecto to Big Data and NoSQL
60%
6.0
Data Transformations (2)
100%
10.0
Simple transformations
100%
10.0
Complex transformations
100%
10.0
Data Modeling (5)
66%
6.6
Data model creation
N/A
N/A
Metadata management
60%
6.0
Business rules and workflow
100%
10.0
Collaboration
100%
10.0
Testing and debugging
70%
7.0
Data Governance (2)
100%
10.0
Integration with data quality tools
100%
10.0
Integration with MDM tools
100%
10.0
Return on Investment
  • I do not measure that kind of data, since I did not define its acquisition
Alternatives Considered
DataStage is more robust and stable than ODI
The ability to perform complex transformations or implement business rules is much more developed in DS

Other Software Used
July 02, 2018

IBM InfoSphere, product family for your IT family!

Gunes INAL | TrustRadius Reviewer
Gunes INAL
Data Warehouse Consultant
Intellium (Information Technology and Services, 11-50 employees)
Score 8 out of 10
Vetted Review
Verified User
Incentivized
Use Cases and Deployment Scope
We use infosphere for
1-Load Data Warehouse: I design ETL jobs for load data to our ODS, DWH and DM tables
2-Design DWH with Data Architect: I use data architect for creating DWH and DM tables. Create diagrams for business flow, table relationships etc.
3-Analysis to OLTP with Information Analyser: I use IA to check our OLTP system.
4-Information Governance Catalog: see the big picture of business and infostructure. We use IGC as a data dictionary, data lineage, and business lineage tool.
Pros and Cons
  • 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
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

IBM InfoSphere Information Server Feature Ratings
Data Source Connection (2)
90%
9.0
Connect to traditional data sources
90%
9.0
Connecto to Big Data and NoSQL
90%
9.0
Data Transformations (2)
90%
9.0
Simple transformations
100%
10.0
Complex transformations
80%
8.0
Data Modeling (5)
88%
8.8
Data model creation
90%
9.0
Metadata management
100%
10.0
Business rules and workflow
100%
10.0
Collaboration
80%
8.0
Testing and debugging
70%
7.0
Data Governance (2)
95%
9.5
Integration with data quality tools
100%
10.0
Integration with MDM tools
90%
9.0
Return on Investment
  • 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.
Alternatives Considered
Denodo not an ETL tool but you can manage your data with it as well as Infosphere
Other Software Used
April 26, 2018

Information Server - A world class Integration Platform

Gonzalo Angeleri | TrustRadius Reviewer
Gonzalo Angeleri
Regional Product & Solution Architect Manager
GRUPO DATCO (Information Technology and Services, 501-1000 employees)
Score 9 out of 10
Vetted Review
ResellerIncentivized
Use Cases and Deployment Scope
InfoSphere Information Server is used primarily as a corporate data integration platform. It allows not only integrate data from different systems but also analyzes the quality of the data and improve it. Additionally, it allows managing metadata from end to end allowing a general overview of the data integration environment. Regarding the use cases, it is a cross-industry integration platform covering the need for data movement, improvement of data quality, metadata management of any integration project.
Pros and Cons
  • 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.
Likelihood to Recommend
It can contribute a lot of value to any project that requires data integration either in batch or near real-time mode. You can manage the quality of the data as they are moved from a data source to the various destinations. It also allows managing the metadata of the entire environment and is especially useful to cover the requirements of a data governance program.

Maybe it is not the most appropriate platform to integrate data in real-time mode.
IBM InfoSphere Information Server Feature Ratings
Data Source Connection (2)
90%
9.0
Connect to traditional data sources
100%
10.0
Connecto to Big Data and NoSQL
80%
8.0
Data Transformations (2)
95%
9.5
Simple transformations
100%
10.0
Complex transformations
90%
9.0
Data Modeling (5)
80%
8.0
Data model creation
80%
8.0
Metadata management
90%
9.0
Business rules and workflow
80%
8.0
Collaboration
70%
7.0
Testing and debugging
80%
8.0
Data Governance (2)
90%
9.0
Integration with data quality tools
100%
10.0
Integration with MDM tools
80%
8.0
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
Alternatives Considered
Information Server and Informatica PowerCenter are the two leading integration platforms worldwide. Information Server has a better integration with other IBM products such as MDM or Cognos but the decision to use one or another platform is more a price decision and quantity of installed base and knowledge in each country or region. For example in Latin America, the installed base and knowledge about Information Server is far superior to the knowledge that there is about Informatica PowerCenter.
Other Software Used
Return to navigation