Cloudera Data Platform vs. MLReef

In the creation of maintenance models Cloudera can excel greatly, because it allows you to create very scalable and applicable processes in different types of technology, either for reporting based purely on data, or to implement its analysis modalities to develop IT projects. In case of requiring detailed review of different phases of IT processes, Cloudera can be useful in security operations that require high expertise in shared data.

Incentivized

Works well if you have to involve different roles in different organizations in a project. Less suited when you have a complex system of custom developed tools

• Scales
• Highly available

Incentivized

• Helps us to take on more client projects
• Can be used by data analysts as well as casual users

• Constantly changing costs
• Log visibility

Incentivized

• Out of the box support for major cloud vendors

We have utilized Cloudera support quite frequently and are very satisfied with the capability and responsiveness of that team. Often, the new features delivered with the platform give us an opportunity to mature the way we're doing things, and the support team have been valuable in developing those new patterns.

Incentivized

IBM's offering of the Cloud Pak for Data has been a moving target and difficult to compare to Cloudera Data Platform. We have implemented our solution on Amazon Web Services, which appears to be supported by IBM at this point, but the migration would be very expensive for us to endeavor.

Incentivized

• Reduced operational costs
• Speed to market

Incentivized

• We can handle 4 to 6 times more projects at the same time with our team
• We stay engaged with our customers well beyond the project duration