Kamatera Cloud vs Payara Server Comparison: Reviews, Features, Pricing & Alternatives in 2026

Detailed side-by-side comparison to help you choose the right solution for your team

Updated Apr 2026 8 min read

Kamatera Cloud

0.0 (0 reviews)

Kamatera Cloud provides high-performance enterprise-grade cloud infrastructure and customizable virtual servers with global data center coverage to help you scale your applications and IT resources instantly and reliably.

Starting at $4/mo
Free Trial 30 days
VS

Payara Server

0.0 (0 reviews)

Payara Server is an open-source application server that provides a reliable and supported platform for hosting Jakarta EE and MicroProfile applications in cloud and hybrid environments.

Starting at Free
Free Trial 15 days

Quick Comparison

Feature Kamatera Cloud Payara Server
Website kamatera.com payara.fish
Pricing Model Subscription Freemium
Starting Price $4/month Free
FREE Trial ✓ 30 days free trial ✓ 15 days free trial
Free Plan ✘ No free plan ✓ Has free plan
Product Demo ✓ Request demo here ✓ Request demo here
Deployment cloud saas on-premise desktop
Integrations cPanel Plesk Docker Kubernetes CloudLinux Microsoft SQL Server MySQL PHP Node.js WordPress Docker Kubernetes Maven Jenkins Hazelcast Amazon SQS Azure Service Bus Prometheus Grafana New Relic
Target Users small-business mid-market enterprise small-business mid-market enterprise
Target Industries
Customer Count 0 0
Founded Year 1995 2016
Headquarters New York, USA Malvern, United Kingdom

Overview

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Kamatera Cloud

Kamatera Cloud gives you total control over your virtual infrastructure with high-performance servers you can deploy in seconds. You can customize every component of your server, from CPU and RAM to storage and operating systems, ensuring you only pay for the exact resources your project requires. Whether you are running a simple website or a complex enterprise application, the platform provides the raw power of Intel Xeon Platinum processors and fast SSD storage to keep your services running smoothly.

You can manage your entire global infrastructure through a single, intuitive dashboard or a comprehensive API. With data centers located across North America, Europe, Asia, and the Middle East, you can position your data close to your users for minimal latency. The platform scales instantly, allowing you to add or remove resources as your traffic fluctuates without any downtime or long-term commitments.

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Payara Server

Payara Server provides you with a robust, open-source platform for deploying Jakarta EE applications. It serves as a direct replacement for GlassFish, offering enhanced stability and security features specifically designed for production environments. You can run your enterprise Java applications with confidence, knowing the platform supports the latest industry standards like MicroProfile and Jakarta EE.

You can choose between the Community Edition for development and testing or the Enterprise Edition for mission-critical production workloads. The software helps you bridge the gap between traditional monolithic architectures and modern microservices. Whether you are deploying on-premise, in the cloud, or using Docker containers, you get a consistent environment that simplifies your development lifecycle and operational management.

Overview

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Kamatera Cloud Features

  • Instant Server Deployment Launch your custom-configured virtual servers in under 60 seconds to get your projects moving immediately.
  • Customizable Hardware Select your exact number of CPUs, RAM capacity, and SSD storage space to match your specific workload.
  • Global Data Centers Deploy your applications across 21 global locations to ensure high availability and low latency for your users.
  • Load Balancing Distribute your incoming traffic across multiple servers to improve responsiveness and ensure your application stays online.
  • Managed Cloud Services Offload your server management and monitoring to experts so you can focus entirely on your core business.
  • Cloud Block Storage Add high-speed, redundant storage to your servers whenever you need more space for your growing data.
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Payara Server Features

  • Jakarta EE Support. Build and deploy enterprise applications using the latest Jakarta EE standards for full compatibility and long-term stability.
  • MicroProfile Integration. Optimize your microservices with built-in support for MicroProfile APIs, including health checks, metrics, and fault tolerance.
  • Payara Insight. Monitor your application performance in real-time with a built-in visual dashboard that identifies bottlenecks before they impact users.
  • Auto-Clustering. Scale your applications horizontally with ease using Hazelcast-powered data grids that sync session data across multiple nodes automatically.
  • Security Hardening. Protect your data with advanced security features like certificate management, audit logging, and integrated identity store wrappers.
  • Cloud Connectors. Connect your applications to cloud-native messaging systems like Amazon SQS and Azure Service Bus without writing custom integration code.

Pricing Comparison

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Kamatera Cloud Pricing

Simple (Basic)
$4
  • 1 vCPU (Type A)
  • 1024 MB RAM
  • 20 GB SSD Storage
  • 5000 GB Monthly Traffic
  • 1 Public IP address
  • Choice of 21 Data Centers
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Payara Server Pricing

Community
$0
  • Open-source license
  • Jakarta EE & MicroProfile support
  • Community forum access
  • Regular monthly releases
  • Docker & Kubernetes ready

Pros & Cons

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Kamatera Cloud

Pros

  • Extremely fast server deployment and setup process
  • Highly granular customization of hardware resources
  • Excellent price-to-performance ratio for small projects
  • Responsive 24/7 technical support via multiple channels

Cons

  • Interface can feel dated compared to modern competitors
  • Steep learning curve for non-technical users
  • Backup services require an additional monthly fee
A

Payara Server

Pros

  • Seamless migration path for existing GlassFish users
  • Excellent support for modern microservices standards
  • Active community and frequent update cycles
  • Strong performance in high-availability clustered environments

Cons

  • Enterprise support requires custom pricing quotes
  • Documentation can be dense for beginners
  • Higher memory footprint than some lightweight runtimes
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