IBM Big Data Platform

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IBM takes a comprehensive approach Analytical DBMS: DB2, Netezza. In-memory DBMS: DB2 with BLU Acceleration, solidDB. Hadoop distribution: InfoSphere BigInsights. Stream-processing technology: InfoSphere Streams. Hardware/software systems: PureData System For Operational Analytics (DB2), IBM PureData System for Analytics (Netezza); PureData System for Hadoop (BigInsights). IBM has the broadest data-management portfolio in the industry, hands down. In addition to offering all the platforms mentioned above, as well as mainframes, IBM has a bevy of data-integration, data-cleansing, and data-quality software options to help capture and clean data. It also has plenty of business intelligence and analytics offerings, including Cognos, SPSS, text- and unstructured-data mining options, and IBM-developed tools for Hadoop including Big Sheets and BigSQL. IBM is also building out its SaaS portfolio and cloud infrastructure, with the $2 billion SoftLayer acquisition being a tangible example of the cloud commitment. Although IBM has plenty of products and services, it's not a product-oriented provider of technology. IBM leads with its deep integration and consulting expertise in a consultative approach focused on building business-differentiating 'solutions' that might incorporate multiple products. The upside is that it's not a cookie-cutter, one-size-fits-all approach, but competitors say beware of open-ended commitments and steep, ongoing consulting fees. Those choosing IBM expect an effective strategic approach that leads to significant business results. It's up to you to make sure you get what you pay for.

IBM takes a comprehensive approach

Analytical DBMS: DB2, Netezza.
In-memory DBMS: DB2 with BLU Acceleration, solidDB.
Hadoop distribution: InfoSphere BigInsights.
Stream-processing technology: InfoSphere Streams.
Hardware/software systems: PureData System For Operational Analytics (DB2), IBM PureData System for Analytics (Netezza); PureData System for Hadoop (BigInsights).
IBM has the broadest data-management portfolio in the industry, hands down. In addition to offering all the platforms mentioned above, as well as mainframes, IBM has a bevy of data-integration, data-cleansing, and data-quality software options to help capture and clean data. It also has plenty of business intelligence and analytics offerings, including Cognos, SPSS, text- and unstructured-data mining options, and IBM-developed tools for Hadoop including Big Sheets and BigSQL. IBM is also building out its SaaS portfolio and cloud infrastructure, with the $2 billion SoftLayer acquisition being a tangible example of the cloud commitment.
Although IBM has plenty of products and services, it's not a product-oriented provider of technology. IBM leads with its deep integration and consulting expertise in a consultative approach focused on building business-differentiating "solutions" that might incorporate multiple products. The upside is that it's not a cookie-cutter, one-size-fits-all approach, but competitors say beware of open-ended commitments and steep, ongoing consulting fees. Those choosing IBM expect an effective strategic approach that leads to significant business results. It's up to you to make sure you get what you pay for.

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