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

Panoply is well suited for companies with large amounts of data that do not want all users of the company to see or view. It is appropriate for companies that have to store data for several years in case clients need the data. It is not made to constantly be downloading or looking at the documents.

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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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• Ease of data integrations. Importing data into the data warehouse is a point-and-click effort.
• Automated data modeling. The data is modeled in a way that facilitates analysis without having to look into it myself.
• Query speed. Automated query optimization has really sped up our dashboards.

• 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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• The user interface could use some improvement for analytical tools. Apart from that, it’s great.

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

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It’s a good choice for building a quick, multipurpose data stack for a variety of businesses needs.

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

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Panoply has much more storage and better organization tools for searching. There are better folders and tools for keeping documents secure and stored for a long period of time. It is better to offload data in mass than singular or Zip drive documents like you would do in Google Drive.

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Independently Invited by TrustRadius

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• Saved time on Redshift setup
• Saved support costs (monetary and temporal) by not having to set up on-premise
• Widens the BI tool use in organization; lowers the barrier to entry and makes organization more productive in analytical terms

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

Incentivized

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