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IBM InfoSphere

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IBM's enterprise data integration and quality platform built on DataStage and QualityStage

Data Management software
  • Deployment Cloud Based, On Premises, Hybrid
  • Starting price Custom
  • Free trial Not offered
  • Best for Enterprises

What is IBM InfoSphere?

IBM InfoSphere Information Server is IBM's enterprise data integration platform, combining InfoSphere DataStage for extract, transform, and load (ETL/ELT) pipelines with InfoSphere QualityStage for data profiling, standardization, and probabilistic matching. It uses massively parallel processing to move and cleanse data across on premises, private, public, and hybrid cloud environments, and it integrates with IBM Cloud Pak for Data for governance and cataloging.

IBM markets the platform in several editions, including Enterprise Edition, Information Server for Data Integration, Information Server for Data Quality, and an on-cloud edition. IBM's current product catalog increasingly promotes the newer, separately branded IBM DataStage as its primary data integration offering, and the original infosphere-information-server marketing URL now redirects to IBM's general product catalog rather than a dedicated page.

Key Features of IBM InfoSphere

IBM InfoSphere lists 8 documented features, including InfoSphere DataStage ETL/ELT pipeline design and execution, InfoSphere QualityStage data profiling, standardization, and matching and Massively parallel processing (MPP) for scalable data movement. The list below covers what the product does rather than how it is marketed.

  • InfoSphere DataStage ETL/ELT pipeline design and execution
  • InfoSphere QualityStage data profiling, standardization, and matching
  • Massively parallel processing (MPP) for scalable data movement
  • On-premises, private cloud, public cloud, and hybrid deployment
  • Integration with IBM Cloud Pak for Data
  • Metadata management and business glossary for governance
  • Multiple editions: Enterprise Edition, Data Integration, Data Quality, on Cloud
  • Enterprise connectivity to data warehouses, marts, and messaging systems

IBM InfoSphere Pricing

IBM InfoSphere lists 1 plan without published figures. Pricing is quoted on request.

InfoSphere Information Server

Custom

Free Trial

IBM does not publish public pricing; licensing depends on edition, modules, users, and deployment. Contact IBM sales for a quote.

IBM InfoSphere Specifications

IBM InfoSphere is available on web app and Windows. It offers an API.

Software Tagline :
IBM's enterprise data integration and quality platform built on DataStage and QualityStage
Deployment :
  • cloud based
  • on premises
  • hybrid
Subscription Plan :
yearly
Desktop Platforms :
  • web app
  • windows
Mobile Platforms :
Language Support :
english
Target Audience :
  • enterprises
Available Support :
  • email
  • phone
  • tickets
  • training
Integrations :
IBM Cloud Pak for Data, Db2, Hadoop, mainframe systems, SAP, Salesforce, AWS, Microsoft Azure, Google Cloud
Product Url :
https://www.ibm.com/products/infosphere-information-server
API Available :
Yes
Free Trial Available :
No
Run On Mobile Browser :
No
Free Plan Available :
No
Customization Available :
Yes

IBM InfoSphere Videos

IBM InfoSphere Screenshots

IBM InfoSphere screenshot 1

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IBM InfoSphere FAQs

No. IBM does not list public pricing; cost depends on the edition, modules, number of users, and deployment model, and requires contacting IBM sales.

The two main components are InfoSphere DataStage for ETL/ELT data integration and InfoSphere QualityStage for data profiling, cleansing, and matching.

IBM continues to support and document InfoSphere Information Server, but its current product catalog is increasingly centered on the separately branded IBM DataStage as the flagship data integration product.

Yes. IBM offers InfoSphere Information Server on Cloud as well as on-premises and hybrid deployment options, and it integrates with IBM Cloud Pak for Data.

It is used broadly across large enterprises for data warehousing, analytics, and governance initiatives that require large-scale, parallel data processing.