Review of VMware Tanzu Data Services.
Use Cases and Deployment Scope
We use VMware Tanzu Data Services across the board anytime we need to do analytics on massive data volumes, and by massive we mean up to petabyte size. The most common use case is evaluating data intake from IoT-enabled automated doors or cargo docks, which always necessitates the usage of a database structure.
Pros
- Apache MADlib provides popular machine learning functionality.
- Allows you to query terabytes of data databases.
- Interoperability for AWS S3 is effortless.
Cons
- Running on Azure is a little more difficult.
- Synchronization with Kafka may be a little easier.
Most Important Features
- AWS compatibility.
Return on Investment
- There was a noticeable reduction in system reliability.
- Saw a reduction in unsuccessful analytics operations.
Other Software Used
Amino