InfoSphere Reviews

29 Ratings
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Score 8.2 out of 100

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Reviews (1-6 of 6)

Anonymous | TrustRadius Reviewer
February 13, 2019

InfoSphere Information Server: Great product, but might need a bit of a facelift

Score 7 out of 10
Vetted Review
Verified User
Review Source
IBM InfoSphere Information Server is being used for data warehouse, as well as data analytics and analysis.
  • Great for data warehouse
  • Gathering an analytics of data is great
  • Metadata
  • Setup is slow and painful
  • The backend database DB2 is dated and it shows
  • Support is very hard to work with
Data Warehouse is probably best in the industry. Metadata is great also.
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Karina Gonzalez | TrustRadius Reviewer
October 30, 2018

Excellent ETL Option for Corporate Data Integration

Score 9 out of 10
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Verified User
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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.
  • 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.
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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Gunes INAL | TrustRadius Reviewer
July 02, 2018

IBM InfoSphere, product family for your IT family!

Score 8 out of 10
Vetted Review
Verified User
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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.
  • 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
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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Anonymous | TrustRadius Reviewer
September 12, 2018

IBM InfoSphere DataStage Review

Score 9 out of 10
Vetted Review
Verified User
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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
  • 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
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
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Gonzalo Angeleri | TrustRadius Reviewer
April 26, 2018

Information Server - A world class Integration Platform

Score 9 out of 10
Vetted Review
Review Source
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.
  • 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.
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.
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Anonymous | TrustRadius Reviewer
November 18, 2014

Great product but expensive

Score 8 out of 10
Vetted Review
Verified User
Review Source
IBM InfoSphere is being used across the whole organization. The problem it addresses: DW/BI.
  • ETL
  • Parallel processing
  • Address verification using QualityStage
  • Single view of inormation
  • Parellel processing architecture
  • Big Data
  • Processing of XML
  • IBM InfoSphere is great for large/complex implementations. If your implementation is small, do not bother about using this product due to its complexity and licensing cost.
  • Do you want to see a single view of information across enterprise- use this product.
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Feature Scorecard Summary

Connect to traditional data sources (5)
Connecto to Big Data and NoSQL (4)
Simple transformations (5)
Complex transformations (5)
Data model creation (3)
Metadata management (5)
Business rules and workflow (5)
Collaboration (5)
Testing and debugging (4)
feature 1 (1)
Integration with data quality tools (5)
Integration with MDM tools (4)

About InfoSphere

IBM InfoSphere is an enterprise grade master data management solution used by over 700 customers. It competes with Oracle's Siebel UCM product and Informatica.

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InfoSphere Technical Details

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Mobile Application:No