Cloudera Data Platform vs. VMware Tanzu Data Services (Greenplum, GemFire, RabbitMQ, Tanzu SQL)

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

VMware Tanzu Data Services will work perfectly well if you need to run machine learning, deep learning or statistical methods on huge workloads of structured, but also unstructured data. It will be super easy to deploy especially if you are using AWS as your Cloud platform provider. On the other hand, it might be an overkill if you are working with smaller data volumes e.g. gigabyte scale.

Incentivized

• Scales
• Highly available

Incentivized

• Apache MADlib provides popular machine learning functionality.
• Allows you to query terabytes of data databases.
• Interoperability for AWS S3 is effortless.

Incentivized

• Constantly changing costs
• Log visibility

Incentivized

• Slightly more complicated to run on Azure
• Integration with Kafka could be more straight forward
• Extensive support exists only for R and Python

Incentivized

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

They were very helpful. We needed support for initial implementation.

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

According to our assessment VMware Tanzu Data Services is one the most capable and efficient data warehouse solutions. Compared to its competitors it was designed from scratch to support the largest possible business intelligence workloads. The fact that it is based on PostgreSQL open source technology is a huge benefit allowing to avoid vendor lock-in, which is not really feasible for other data warehouse platforms.

Incentivized

• Reduced operational costs
• Speed to market

Incentivized

• There was a noticeable reduction in system reliability.
• Saw a reduction in unsuccessful analytics operations.

Incentivized