IBM InfoSphere Information Server

Score8 out of 10

37 Reviews and Ratings

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.

Categories & Use Cases

Connect to traditional data sources
Ability to connect to traditional data sources like relational databases, flat files, XML files and packaged applications
Category average: 8.7
Connecto to Big Data and NoSQL
Ability to connect to non-traditional data sources like Hadoop and other big data technologies, and NoSQL databases
Category average: 7.7
Simple transformations
Simple data transformations are calculations, data type conversions, aggregations and search and replace operations
Category average: 8.1

Integration with data quality tools
Integration with tools for cleansing, parsing and normalizing data according to business rules
Category average: 7.9
Testing and debugging
Tool to debug and tune for optimal performance
Category average: 6.9
Integration with MDM tools
Integration with master data management tools to ensure data consistency across the organization
Category average: 7.8

Karina Gonzalez View profile

Manager Data Management in Information Technology at Tenaris (10,001+ employees employees)

Pros

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.

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.

Return on Investment

Productivity of the development of integration processes.
Better documentation and governance.
Reduce training costs of various technologies.

Alternatives Considered

Oracle Data Integrator

Other Software Used

SQL Server Integration Services

Gunes INAL View profile

Data Warehouse Consultant in Information Technology at Intellium (11-50 employees employees)

Pros

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

Cons

Infosphere may improve its logging system. If you dont familier logs of infosphere it's little bit hard to understand

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

Other Software Used

Denodo, Oracle Data Integrator

Gonzalo Angeleri View profile

Regional Product & Solution Architect Manager in Information Technology at GRUPO DATCO (501-1000 employees employees)

Pros

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

Cons

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.

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

Informatica PowerCenter

Other Software Used

IBM InfoSphere Information Analyzer, IBM InfoSphere QualityStage

Verified User

Project Manager (51-200 employees employees)

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

Cons

Schedule of the processes
Process versioning
Deploy of versioned processes between environments. Revision of previous versions

Return on Investment

I do not measure that kind of data, since I did not define its acquisition

Alternatives Considered

Oracle Data Integrator

Other Software Used

IBM InfoSphere QualityStage

Verified User

Team Lead in Information Technology (10,001+ employees employees)

Pros

ETL
Parallel processing
Address verification using QualityStage
Single view of inormation

Cons

Parellel processing architecture
Big Data
Processing of XML

Return on Investment

Increased time to market
BI Reports available on time

Teradata Master Data Management on Vantage

Oracle Siebel UCM app

SAP NetWeaver MDM

Oracle Data Integrator (ODI)

IBM InfoSphere Information Server

What is IBM InfoSphere Information Server?

Categories & Use Cases

Key Features

Top Performing Features

Connect to traditional data sources

Connecto to Big Data and NoSQL

Simple transformations

Areas for Improvement

Integration with data quality tools

Testing and debugging

Integration with MDM tools

Reviews

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Cons

Return on Investment

Alternatives Considered

Other Software Used

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Return on Investment

Alternatives Considered

Other Software Used

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Return on Investment

Alternatives Considered

Other Software Used

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Return on Investment

Alternatives Considered

Other Software Used

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Return on Investment

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