Google Cloud Spanner vs. Google Kubernetes Engine

Overview
ProductRatingMost Used ByProduct SummaryStarting Price
Google Cloud Spanner
Score 6.3 out of 10
N/A
Google Cloud Spanner is a cloud database-as-a-service product offered as a service on Google Cloud Platform (GCP).N/A
Google Kubernetes Engine
Score 9.1 out of 10
N/A
Google Kubernetes Engine supplies containerized application management powered by Kubernetes which includes Google Cloud services including load balancing, automatic scaling and upgrade, and other Google Cloud services.
$0.04
vCPU-hr Autopilot Mode
Pricing
Google Cloud SpannerGoogle Kubernetes Engine
Editions & Modules
No answers on this topic
Autopilot Mode - 3 year commitment price (USD)
$0
GKE Autopilot Ephemeral Storage Price GB-hr
Autopilot Mode - 1 year commitment price (USD)
$0.0000438
GKE Autopilot Ephemeral Storage Price GB-hr
Autopilot Mode - Regular Price
$0.0000548
GKE Autopilot Ephemeral Storage Price GB-hr
Autopilot Mode - Spot Price
$0.0000548
GKE Autopilot Ephemeral Storage Price GB-hr
Autopilot Mode - Spot Price
$0.0014767
GKE Autopilot Pod Memory Price GB-hr
Autopilot Mode - 3 year commitment price (USD)
$0
GKE Autopilot Pod Memory Price GB-hr
Autopilot Mode - 1 year commitment price (USD)
$0.0039380
GKE Autopilot Pod Memory Price GB-hr
Autopilot Mode - Regular Price
$0.0049225
GKE Autopilot Price GB-hr
Autopilot Mode - Spot Price
$0.0133
GKE Autopilot vCPU Price vCPU-hr
Autopilot Mode - 3 year commitment price (USD)
$0.02
GKE Autopilot vCPU Price vCPU-hr
Autopilot Mode - 1 year commitment price (USD)
$0.0356000
GKE Autopilot vCPU Price vCPU-hr
Autopilot Mode - Regular Price
$0.0445
vCPU Price vCPU-hr
Standard Mode
$0.10
per hour
Cluster Management
$0.10
per cluster per hour
Cluster Management
$74.40 monthly credit
per month per hour
Standard Mode - Free Version
Free
per hour
Offerings
Pricing Offerings
Google Cloud SpannerGoogle Kubernetes Engine
Free Trial
NoYes
Free/Freemium Version
NoYes
Premium Consulting/Integration Services
NoNo
Entry-level Setup FeeNo setup feeNo setup fee
Additional Details
More Pricing Information
Community Pulse
Google Cloud SpannerGoogle Kubernetes Engine
Top Pros
Top Cons
Features
Google Cloud SpannerGoogle Kubernetes Engine
Database-as-a-Service
Comparison of Database-as-a-Service features of Product A and Product B
Google Cloud Spanner
7.8
2 Ratings
11% below category average
Google Kubernetes Engine
-
Ratings
Automatic software patching8.82 Ratings00 Ratings
Database scalability8.82 Ratings00 Ratings
Automated backups10.01 Ratings00 Ratings
Database security provisions5.82 Ratings00 Ratings
Monitoring and metrics5.82 Ratings00 Ratings
Automatic host deployment7.62 Ratings00 Ratings
Best Alternatives
Google Cloud SpannerGoogle Kubernetes Engine
Small Businesses
SingleStore
SingleStore
Score 9.8 out of 10
Portainer
Portainer
Score 9.3 out of 10
Medium-sized Companies
SingleStore
SingleStore
Score 9.8 out of 10
IBM Cloud Kubernetes Service
IBM Cloud Kubernetes Service
Score 9.2 out of 10
Enterprises
SingleStore
SingleStore
Score 9.8 out of 10
IBM Cloud Kubernetes Service
IBM Cloud Kubernetes Service
Score 9.2 out of 10
All AlternativesView all alternativesView all alternatives
User Ratings
Google Cloud SpannerGoogle Kubernetes Engine
Likelihood to Recommend
7.4
(2 ratings)
9.0
(7 ratings)
Usability
-
(0 ratings)
9.0
(3 ratings)
Support Rating
-
(0 ratings)
9.0
(5 ratings)
Professional Services
-
(0 ratings)
9.0
(1 ratings)
User Testimonials
Google Cloud SpannerGoogle Kubernetes Engine
Likelihood to Recommend
Google
Google Cloud Spanner is suited for limitless horizontal scaling while maintaining strong consistency which needs to support ACID. NoSQL databases work in scaling but no ACID support. RDBMS support ACID, but horizontal scaling is not as great. The API it provides result in some limitations to related areas of the code, such as connection pools or database linking framework. So high # of connection pools can vary.
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Google
The Google Kubernetes Engine clusters are very good at being a managed cloud K8s platform - lots of documentation, features, and updates are available. It's also newbie-friendly - for both administrators and developers. Unfortunately, currently, it cannot reach true zero scale - thus, costs (rent for the service) are still involved even if you are barely using it. Thankfully, it's possible to have alternatives in Google Cloud:
  • Your own K8s cluster on Compute Engine VMs - you manage it completely; it will have access to a lot of Google Cloud services.
  • Cloud Run cluster - less documented but more flexible
  • Anthos clusters - you can use this service for a lot of types of K8s clusters - Google Kubernetes Engine, Cloud Run, on-prem, AWS, Azure
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Pros
Google
  • Super high availability
  • Scales automatically
  • High standard SLA
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Google
  • Deployment of a new GKE cluster is really fast in comparison to other cloud providers.
  • GCP is ahead other vendors and always provide the most up to date Kubernetes version.
  • GKE automation for master upgrade and the worker nodes pool works really well.
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Cons
Google
  • Support for Views
  • Support for more databases (schemas).
  • More index types that can be supported (Functional)
  • Backups (ie table/data backup) if data is deleted or truncate by accident.
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Google
  • Not as intuitive as it could be
  • Documentation could be better, especially for people using other Google Cloud tools
  • Not the preferred Kubernetes Engine for many apps
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Usability
Google
No answers on this topic
Google
  • Google Kubernetes Engine has a good UI and documentation that facilitates setup and helps get projects moving along quickly
  • Its built-in logging integrations with StackDriver make it easier to monitor the application and log issues quickly
  • Automated orchestration, deployment, and scaling of nodes and networking are all easily configurable with yaml files
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Support Rating
Google
No answers on this topic
Google
Very good Kubernetes distribution with a reasonable total price. Integration with storage and load balancer for ingress and services speed up every process deployment.
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Alternatives Considered
Google
At that point, we were looking at something [that] can hold our relational database, [...] provide stable connection, and maintain high ACID transition. BigTable is for nonrelational database so it was out of our [sight] very quickly. BigQuery is a data warehouse that can hold huge amount of data but not ideal for transition. AWS RDS is [...] similar to Spanner but because most of our services are already on GCP, so we went with Spanner.
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Google
GKE spins up new nodes a LOT faster than AKS. GKE's auto scaler runs a lot smoother than AKS. GKE has a lot more Kubernetes features baked in natively.
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Professional Services
Google
No answers on this topic
Google
  • When issues came up, we reached out to some folks at GCP and they seemed to be very prompt and attentive to our needs. They were always willing to help and provide additional details or recommendations or links to resources. This kind of support is very helpful as it allows us to navigate GKE with more confidence.
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Return on Investment
Google
  • Backups specifically if transactional data is deleted. Restoring made us lose time.
  • Sharding on Horizontal level was quick and easy. Deployment and increasing nodes is easy
  • Large dataset handling.
  • ACID compliance
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Google
  • Positive: Allowed us to start and produce working software regardless of our experience level.
  • Positive: Integration with other Google Cloud services that we wanted to use anyway.
  • Negative: It's kinda clunky, and some scenarios seem Google Kubernetes Engine-specific instead of being more integrated with other Google Cloud services or the web UI.
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ScreenShots