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

Redis Cloud is very well suited for scenarios where fast data access is required or somewhat unstructured data needs to be stored. For us, it has worked very well for user session storage. However, if you have large amounts of structured data that is not frequently accessed, Redis is not the solution and a traditional relational database is likely more appropriate.

Incentivized

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.

Incentivized

• Ease of setup and deployment via Heroku
• Reliability and splicity
• Fair pricing

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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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• The only area of improvement I have found is the documentation is sometimes lacking and could be a little more comprehensive.

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

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

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I've used Heroku Redis and RedisToGo. Redis Cloud has the best free/developer plan, and we have never had an issue.

Incentivized

• Redis Cloud is very affordable and therefore the cost is negligible when compared to the benefits— immediate ROI with very little startup costs.

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

Incentivized