Tanzu Data Services (Greenplum, GemFire, RabbitMQ, Tanzu SQL) vs. ZAP Data Hub

If you need to execute ml algorithms, learning techniques, or mathematical calculations on large amounts of heterogeneous data, VMware Tanzu Data Services will be ideal. It will be really simple to set up, particularly if you choose AWS as your integrated cloud provider. However, if you're working with lower data amounts, such as gigabytes, it can be superfluous.

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ZAP is an incredible tool for those IT Organizations that need to stay lean. Within days, I was able to implement the ZAP solution instead of hiring Developers and ETL developers to tie into multiple Data infrastructures.

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

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• Extremely Robust Interface
• Implementation and Connection to Data Stores extremely fast. I was able to implement BI reporting within days.
• Fantastic Support
• Cost Effective Tool for any IT organization. Reduction in FTE, Data Reporting Deployment, and Cube Creation.

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• Running on Azure is a little more difficult.
• Synchronization with Kafka may be a little easier.

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• I would love to see a strong integration with Google Analytics. ZAP works great with CRM platforms but would be interested to get the metrics on how marketing campaigns are tied to organic traffic and PPC.

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

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ZAP has a better interface and user-friendly.

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

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Independently Invited by TrustRadius

A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info