Compare CONNX Data Virtualization vs. IBM Cloud Pak for Data

CONNX Data Virtualization is ranked 71st in Data Integration Tools while IBM Cloud Pak for Data is ranked unranked in Data Integration Tools. CONNX Data Virtualization is rated 0, while IBM Cloud Pak for Data is rated 0. On the other hand, CONNX Data Virtualization is most compared with , whereas IBM Cloud Pak for Data is most compared with .
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In Data Integration Tools
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Cloud Pak for Data
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Overview

CONNX data virtualization solutions unite data from any source – legacy, relational and non-relational – and lend the appearance of centralization without all the inherent risks. The new federated data source protects the integrity and upholds the security of all the contributing data sources while delivering all the benefits of a unified database. It also enables optimal flexibility and control for choosing the best analytics tools for your needs, keeping costs in line with budget and user expectations.

Your CONNX-enabled unified database is fast, receiving and sharing incremental data changes with no impact on underlying systems or data stores. You can share more data with more people, empowering better decision making throughout the organization without tampering with underlying database configurations or compromising best-of-breed application requirements. It’s hero time.

IBM Cloud Pak® for Data is a fully-integrated data and AI platform that modernizes how businesses collect, organize and analyze data to infuse AI throughout their organizations. Cloud-native by design, the platform unifies market-leading services spanning the entire analytics lifecycle. From data management, DataOps, governance, business analytics and automated AI, IBM Cloud Pak for Data helps eliminate the need for costly, and often competing, point solutions while providing the information architecture you need to implement AI successfully.

Building on the streamlined hybrid-cloud foundation of Red Hat® OpenShift®, IBM Cloud Pak for Data takes advantage of the underlying resource and infrastructure optimization and management. The solution fully supports multicloud environments such as Amazon Web Services (AWS), Azure, Google Cloud, IBM Cloud™ and private cloud deployments. Find out how IBM Cloud Pak for Data can lower your total cost of ownership and accelerate innovation.

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Find out what your peers are saying about Microsoft, Informatica, Talend and others in Data Integration Tools. Updated: May 2020.
418,116 professionals have used our research since 2012.
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