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

Overview
ProductRatingMost Used ByProduct SummaryStarting Price
DigitalOcean Kubernetes
Score 9.0 out of 10
N/A
DigitalOcean's Managed Kubernetes is designed for simple and cost effective container orchestration.N/A
VMware Tanzu Data Services
Score 6.0 out of 10
N/A
Tanzu Data Services is a family of data-driven solutions built to store, process, and query critical data resources in real-time and at massive scale, both on-premises and in the multi-cloud world.N/A
Pricing
DigitalOcean KubernetesTanzu Data Services (Greenplum, GemFire, RabbitMQ, Tanzu SQL)
Editions & Modules
No answers on this topic
No answers on this topic
Offerings
Pricing Offerings
DigitalOcean KubernetesVMware Tanzu Data Services
Free Trial
NoNo
Free/Freemium Version
NoNo
Premium Consulting/Integration Services
NoNo
Entry-level Setup FeeNo setup feeNo setup fee
Additional Details——
More Pricing Information
Community Pulse
DigitalOcean KubernetesTanzu Data Services (Greenplum, GemFire, RabbitMQ, Tanzu SQL)
Best Alternatives
DigitalOcean KubernetesTanzu Data Services (Greenplum, GemFire, RabbitMQ, Tanzu SQL)
Small Businesses
Portainer
Portainer
Score 9.4 out of 10
Google BigQuery
Google BigQuery
Score 8.7 out of 10
Medium-sized Companies
Red Hat OpenShift
Red Hat OpenShift
Score 9.3 out of 10
Cloudera Enterprise Data Hub
Cloudera Enterprise Data Hub
Score 9.0 out of 10
Enterprises
Red Hat OpenShift
Red Hat OpenShift
Score 9.3 out of 10
Oracle Exadata
Oracle Exadata
Score 9.6 out of 10
All AlternativesView all alternativesView all alternatives
User Ratings
DigitalOcean KubernetesTanzu Data Services (Greenplum, GemFire, RabbitMQ, Tanzu SQL)
Likelihood to Recommend
9.0
(1 ratings)
8.0
(1 ratings)
Support Rating
-
(0 ratings)
8.0
(1 ratings)
User Testimonials
DigitalOcean KubernetesTanzu Data Services (Greenplum, GemFire, RabbitMQ, Tanzu SQL)
Likelihood to Recommend
DigitalOcean
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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Broadcom
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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Pros
DigitalOcean
  • Hosted dashboard
  • Hosted container registry
  • Horizontal auto-scaling
  • LetsEncrypt SSL termination
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Broadcom
  • 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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Cons
DigitalOcean
  • Option for internal VPC-only deployment
  • Better integration with cloud firewall
  • Better integration with DO App platform via VPC
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Broadcom
  • Running on Azure is a little more difficult.
  • Synchronization with Kafka may be a little easier.
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Support Rating
DigitalOcean
No answers on this topic
Broadcom
They were very helpful. We needed support for initial implementation.
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Alternatives Considered
DigitalOcean
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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Broadcom
No answers on this topic
Return on Investment
DigitalOcean
  • Excellent uptime
  • Low cost for provided value
  • Good integration with the rest of the DO platform to provide additional value
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Broadcom
  • There was a noticeable reduction in system reliability.
  • Saw a reduction in unsuccessful analytics operations.
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