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

DO Kubernetes is well-suited for: - deploying APIs - deploying workers - log collection and analysis (ie ELK stack) - deploying Helm charts and anything that can be mapped on to K8s concepts Less appropriate for anything requiring no public Internet access (ie VPC only). Less appropriate for anything requiring integration with the DO app platform via VPC, at the moment.

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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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• Hosted dashboard
• Hosted container registry
• Horizontal auto-scaling
• LetsEncrypt SSL termination

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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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• Option for internal VPC-only deployment
• Better integration with cloud firewall
• Better integration with DO App platform via VPC

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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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DigitalOcean is the most affordable and straightforward of the hosted Kubernetes options we evaluated. All features that we require are supported without an excess of complication of extraneous features. Straightforward billing is also very important for us in comparison to the Big Three cloud hosts, which have very complicated billing practices. DigitalOcean also provides a platform with very little vendor lock-in.

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• Excellent uptime
• Low cost for provided value
• Good integration with the rest of the DO platform to provide additional value

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• 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