Percona for Kubernetes
Calculate your savings
We Provide The Infrastructure AI
Depends On
Production-ready open source software and support to design, optimize, and scale the PostgreSQL infrastructure powering your AI initiatives.
Percona for Kubernetes • Calculate your savings
Estimate the Real Cost of Running PostgreSQL on Kubernetes
See how much you can save while gaining control, flexibility, and transparency by comparing public DBaaS costs to running cloud-native PostgreSQL from Percona on your own infrastructure.
General Information
General Information
Personal Information
Personal Information
How the cost is calculated
The formula adds up the costs of each resource:- CPU:
vCPU_Count × 720 hours × CPU rate - RAM:
RAM_GB × 720 hours × RAM rate - Storage:
Storage_GB × Storage rate - Backup:
Backup_GB × Backup rate - High Availability (optional):
20% extra of CPU cost
*Any calculation, figures or pricing are estimates only, based on the data input and certain assumptions. These estimates are intended for informational purposes only and should not be relied upon in any manner – any actual savings will vary and are not guaranteed.
5 Year ROI
Cost Avoidance NPV ($M)
Yearly Cost Savings ($M)
Email me the results
*Any calculation, figures or pricing are estimates only, based on the data input and certain assumptions. These estimates are intended for informational purposes only and should not be relied upon in any manner – any actual savings will vary and are not guaranteed.
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Ditch the high costs and restrictions of Public DBaaS
Maximize efficiency, reduce cloud costs, and scale strategically with an open source database solution that offers the convenience of Public DBaaS — without the drawbacks.
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Standardize your databases across multi-cloud or hybrid environments
Deploy consistently across any cloud platform with uniform configurations for all instances. Run databases seamlessly on Kubernetes across cloud providers and on-premises.
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Ensure efficient traffic management with elastic scalability
Features like deployment automation, auto-scaling, sharding, and replication make it easy to scale horizontally and vertically as your traffic grows – whether you have 10 databases or 10,000.
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