TrustRadius Insights for IBM Cloud Pak for Data are summaries of user sentiment data from TrustRadius reviews and, when necessary, third party data sources.
Pros
Accelerated Data Exploration: Users have praised the platform for its ability to quickly explore and analyze data from various sources, finding the process seamless and efficient. They appreciate how it helps them uncover insights faster and make informed decisions based on real-time data exploration capabilities.
AI-Driven Insights: Users value the AI-driven insights provided by the platform, as it significantly enhances their productivity and decision-making processes. The AI algorithms allows users to derive conclusions from complex datasets, leading to more accurate predictions and actionable recommendations.
Fast Query Execution: The fast query execution of the platform has been highlighted by users as a standout feature, along with its data virtualization capabilities. Users find that quick access to data results in faster decision-making processes and enables them to respond promptly to changing business needs.
We advise many of our clients on the best ways to process ETL and Analytics, quickly, and efficiently. CP4D has been around for many years and we have implemented this for many organizations. It solves most bottlenecks clients have for processing in a very cost effective and reliable environment. Clients can also process jobs within seconds where it would previously take days. This offers a platform to organizations allowing them to change their business models. For example, a large financial institution in Canada would normally score their customers in 45 hours. With CP4D with Netezza, the same scoring job completes in 15 seconds. Now customers can be scored daily. This same story can be seen at hundreds of other clients we support. There is nothing else like it on the market at such a competitive price on premise or in the cloud.
Pros
the fastest execution of queries
business critical support and redundancy in design for almost 100% uptime
ties in with many other IBM offerings such as Watson
support at IBM is unbeatable with experts available before and after the sale to assist clients
Cons
This offering is currently available on prem, in Azure, and soon in AWS. GCP availability will be in the future as there is demand in the marketplace
The on premise offering starts with a Base + 0 model, which is a significant appliance. There are no 'mini' offerings as there were in the past.
At Destiny, we work closely with IBM to help our clients perform budgetary planning.
Likelihood to Recommend
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.