IBM InfoSphere Information Server

(14)
3.9 out of 5 stars

IBM InfoSphere Information Server is an advanced data integration platform that enables you to cleanse, monitor, transform and deliver data. The scalable solution provides massively parallel processing capabilities to help you manage small to very large data volumes. It helps you deliver trusted information to your key business initiatives such as big data and analytics, data warehouse modernization and master data management.

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IBM Infosphere review by <span>Direndra K. J.</span>
Direndra K. J.
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IBM InfoSphere Information Server Review

What do you like best?

Complex capabilities including parallel processing and Big Data Unstructured data.processing.

Well established product with strong user base and support communities.

IBM support is great. Simple GUI for easy learning.

What do you dislike?

Big Insights not at par with Cloudera and Horton works.

Cloud capability for Data Stage not effective.

Recommendations to others considering the product

Products in the suite and very diverse with strong capabilities. Strong integration with Data and Information Governance solutions IGC as well as support for Cloud and Big Data capabilities exist.

What business problems are you solving with the product? What benefits have you realized?

DataIntegration, ETL, OLTP and OLAP loads, Real time data processing using MQ,

ETL loads Scheduling using DataStage scheduler.

Address validation for Master Data Management.

InfoSphere Information server is our primary Data Integration tool for data cleaning, standardization and loading. We use it as part of data integration for our OLTP / transactional systems as well as batch loading into the data warehouse.

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IBM Infosphere review by <span>Vincent M.</span>
Vincent M.
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I am a 15+ year user of InfoSphere tools

What do you like best?

The shared metadata between the tools and the ability to cater for technical and business users. In the early days the suite was all about DataStage - a lot of companies only used DataStage and underutilised profiling and metadata lineage. Today there is a lot more appreciation for Business Glossary and Data Quality Scorecards and these have just about taken over from DataStage as the key value of the suite.

What do you dislike?

It has a weak web user interface - especially the FastTrack mapping tool and the Information Analyzer profiling tool. This has really stopped it from becoming more widely used in big organisations. I think these problems are being fixed in the Data Works cloud version and hopefully the InfoSphere suite will have uniform web user interface tools soon across all business user functions.

Recommendations to others considering the product

Start with the strengths of the suite first - the massively scalable data integration. The business user interaction via the Business Glossary. The metadata imports to create a catalogue of information assets and put together some lineage. The Data Quality Monitoring and Scorecards.

Look for add on products that fill the gaps - like Analytix DS for a better mapping tool and ETL job generation and reference data management. This gives you a super-suite - a set of tools that works well together but has best of breed for Glossary, ETL, Mapping and DQ monitoring.

What business problems are you solving with the product? What benefits have you realized?

The main benefit is providing a catalogue of information assets that can deliver on Information as an Asset - letting an organisation catalogue what they have, the owners of those assets, the lineage, the definition, the security classifications and the data quality confidence scores. Without a catalogue of Information Assets you never really have Information as an Asset - it's only a slogan and not the reality. The Governance Scorecards that are now bundled are an ongoing measurement of how the organisation and divisions and project teams are doing with Information Governance standards such as ownership and classification and quality. Without scorecards and monitoring Governance is something that people can easily ignore to the detriment of the company.

What On-Premise Data Integration solution do you use?

Thanks for letting us know!
IBM Infosphere review by <span>Patrick H.</span>
Patrick H.
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Good if you already have IBM licensing, be wary of hidden costs though

What do you like best?

IBM InfoSphere offers tools to build integration hubs and services for large scale enterprises.

Datastage and Quality step is a competitive ETL/MDM solution and is comparable to informatica. The performance and ease of creating multinode jobs to improve processing speed is impressive.

Integrates well with Oracle and IBM DB2 rdms. Has SAP support via plugin, but it leaves much to be desired in this area.

If you already have an enterprise license for IBM tools then this should be an obvious choice, especially if you plan on pairing it with tools like Optim for test data management. Works well if you also utilize Sterling Commerce B2B for file transfer management.

What do you dislike?

Terrible code version control. Two options:

[1] use CVS - really? 1990 called it wants its version control back

[2] or use IBM's proprietary version control system that doesn't integrate with your automated build system (such as Jenkins).

You can extract code as dsx (txt files) and store it manually in your preferred vault (svn, git, etc) but this is cumbersome and there is NO PLUGIN for these other control systems!

While cheaper than Informatica in many instances you will run into documentation/support issues. Sure you can pay for the enterprise support package, but when you need a "quick" solution and just need to scour the web for an answer, good luck.

For companies choosing to utilize the Integration technology like Datastage/QualityStep be aware it is extremely hard to find trained Datastage developers. Datastage makes up a small percentage of the US talent pool, meaning it is hard to attract and retain talent. So any savings you may get by going with IBM could very well be eaten away by the higher cost of human capital.

Recommendations to others considering the product

Good for cost savings if you own an enterprise license for all IBM software. Be wary of the lack of quick documentation and online support forums. Be sure before you switch products that you will be able to find talent. Outsourced talent is relatively easy to find for this product, on-shore US talent is extremely rare and expensive for experienced developers compared to the competition.

If you heavily use other IBM products you should at least consider this since it integrates well with other IBM tools. It however has lackluster integration with 3rd party tools like version control systems.

For a company that sponsors Eclipse, they have chosen not to use it as a basis for this suite of tools leaving its interface frustratingly stuck in 1990 by graphical standards and usability.

What business problems are you solving with the product? What benefits have you realized?

Integration of large datasets for thousands of batch interfaces. (Datastage)

Use of Master Data Management with qualitystep and qualitystage.

IIB (related technology) is used for real time interfaces. Datastage can do real time interfaces, but does not function well for real time file interfaces since jobs must be scheduled to constantly check for files.

IBM Infosphere review by <span>Bireswar G.</span>
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All in one information management bundle - very comprehensive toolset for Data platform

What do you like best?

Very comprehensive tool set - starting from ETL, DQ, MDM, Metadata management and so on, None of the competitors have got this kind of completeness in a cohesive fashion supporting collaboration

What do you dislike?

IBM trying to merge 2 product's (Initiate MDM and DWL/WCC MDM) capability into one product in MDM space - just because they bought 2 companies with similar capabilities; but really it did not helped any one - architecturally it became more complex - hard to explain people - no proper use cases for virtual/ and then questions like why virtual - why 2 different things?

Batch processing at MDM is not still clean.

Recommendations to others considering the product

I think I have already provided the best part of this toolset - it's a very comprehensive bundle.

What business problems are you solving with the product? What benefits have you realized?

Single Customer / Party / Entity View.

Depends on the engagement and maturity of the customer - but many benefits (direct and indirect).

IBM Infosphere review by User in Financial Services
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Better than most ETL tools

What do you like best?

Whole suite of data integration products to fit every need. Products integrate well. Technical support is very good and able to resolve most issues in less than one day.

What do you dislike?

No abstraction between logical and physical objects, so it is difficult to create reusable objects. The underlying metadata is in a Universe database, so configuration changes and resolving system problems are cumbersome.

Recommendations to others considering the product

Consider the whole scope of data integration you need for the next five years, including real time heterogeneous data integration, data quality, data lineage, metadata management, and master data management. There are only two products on the market that have the full suite - IBM InfoSphere and Informatica.

What business problems are you solving with the product? What benefits have you realized?

Custom data integration into a data warehouse.

IBM Infosphere review by <span>Kushal R.</span>
Kushal R.
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I used Datastage,Liked it

What do you like best?

The InfoSphere Platform provides a data warehousing tool called Datastage which i used.

Found it very usefull. Its easy to learn and use.

What do you dislike?

For coders drag and drop can be a little boring.But it gets the job done.

Recommendations to others considering the product

Its a very much trusted and accomplished tool by IBM.Need not think very much if you are considering using it.

What business problems are you solving with the product? What benefits have you realized?

ETL tool i used has impacted the way data is processed

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