IBM Cloud Pak for Data vs. Qlik Catalog

IBM Cloud Pak for Data with Netezza is well suited for clients who require fast, economical analytics processing. It is not designed to be used as a transactional processing environment. For example, a large customer is using it during the point of sale process. That makes little sense in that business case. However, to take analysis to market faster, it excels well in that space.

Incentivized

We can connect to any source, flat flies, any JDBC, odbc connection can be made. Transformation of data is too slow.

Incentivized

• Increases our impact by combining BI skills with advanced analytics and machine learning in an easy to use visual interface.
• Visualization and reporting.
• Rapidly provides business -ready data to all users equally.
• Manage data spread across distributed stores and clouds.

Incentivized

• Cost management
• Improve customer relations/service
• Improve business process outcomes

Incentivized

• Cannot save changes to some secrets in the internal vault
• Sign-in issues on environments where IAM is enabled
• The Enforce quotas option is disabled

Incentivized

• Transformation of data is too slow
• Limited features available
• Complex data structure

Incentivized

IBM Cloud Pak for Data takes the IBM Cognos solution and provides this on an enterprise cloud platform that can be extended to support better data integration and data science capabilities.

Incentivized

Automatic preparation of raw data into analytics. Our company made to decision to improve customer relations and service.

Incentivized

• We have the ability to access all our data much quicker through the unified search option.
• 30% increase in productivity through the introduction of AI.
• Improved data security and governance.

Incentivized

• It can occupy lot of RAM space
• More focus on reporting module

Incentivized