10 Mejores Servicios PaaS en 2026

Heroku offers fully-managed data services that handle configuration, orchestration, failovers, load balancing, and security.

Why I picked Heroku: I suggest Heroku for developers who want a straightforward solution to build, maintain, and distribute web apps, especially if they use Salesforce data. However, they can also scale their applications, and Heroku adapts to the infrastructure changes—its scalability ranges from simple hobby assignments to complex enterprise-grade apps.

Heroku Standout Features and Integrations:

Features that I want to recommend here are PostgreSQL as a service that enables encryption at rest and database forking; measurement of app metrics like throughput, CPU load, and response times; build packs that let you customize your stack; and “dynos,” which are managed containers in which you can run and monitor your apps continuously.

Integrations include 200+ add-ons, including Rollbar for responding to errors, Logtail for querying logs, and CloudRail for integrating Application Programming Interfaces (APIs).

OpenShift is Red Hat’s cloud computing PaaS solution that comes in multiple flavors: OpenShift Container Platform provides Kubernetes platform for clients who want to deploy containerized applications; OpenShift Dedicated gives turn-key access to high-availability clusters hosted on Amazon Web Services and Google Cloud; and Red Hat on Microsoft Azure provides an enterprise-grade Kubernetes environment in a Microsoft ecosystem.

Why I picked OpenShift: If you are looking for a PaaS solution that’s fully compatible with Kubernetes, OpenShift can be a good choice. During my evaluation, I found that because OpenShift leverages Kubernetes’ features of container orchestration, automatic scaling, and integrated registry for storing and managing container images, it is easy for developers to build and deploy containerized applications using Kubernetes.

OpenShift Standout Features and Integrations:

Features that made me recommend OpenShift include built-in Jenkins pipelines that help automation of the software delivery process, a faster feedback loop for developers; edge computing capabilities so that you can use application services even in remote locations and perform analysis in real-time; and runtimes and libraries that help developers ship out apps quickly.

Integrations include Red Hat’s native integration, where you can connect data and applications with solutions like APIcast, Istio Adapter, Camel K, AMQ Streams, AMQ Broker, Debezium, and Service Registry.

Mendix is a low-code PaaS solution that is best suited for enterprises, thanks to a host of tools that ease development work, such as collaboration tools that developers can use to build apps in real-time and rapid prototyping functionalities that let you release apps faster.

Why I picked Mendix: A compelling reason for me to choose Mendix is that it allows developers to drag and drop components onto a visual application model instead of writing code to build and deploy applications. It also offers responsive design functionality, where applications built on Mendix are automatically optimized for all device types.

Mendix Standout Features and Integrations:

Features that I want to highlight are its pre-built machine learning models that can be easily integrated into applications, custom widgets to extend the functionality of Mendix applications, and offline capabilities where users can continue to work even when their connection is lost.

Integrations for Mendix include SAP and Salesforce (native) and comes with other tools like REST services, Web services, mappings, OData, connector kit, and data hub to handle your integrations.

Microsoft Azure is a cloud computing platform that allows you to build, deploy, and manage applications and services through 200+ data centers in 60+ regions. It integrates with all the Microsoft services, so users who develop Microsoft applications can manage their tech stack in one place. I also noted that Azure presents a wide range of cloud services, including compute, storage, networking, and databases.

Why I picked Microsoft Azure: I selected Azure because it comes with hybrid, on-premises, multi-cloud, and edge capabilities, and developers can work with open-source frameworks and languages that they prefer. It also impresses me that Azure covers so many service areas, including AI, machine learning, blockchain, DevOps, the Internet of Things, mixed reality, and mobile.

Microsoft Azure Standout Features and Integrations:

Features I feel that differentiate Azure from other PaaS providers include auto-scaling, elastic pools to adjust resources, provision virtual machines for Red Hat, Ubuntu, and other Linux distributions, and single sign-on and multi-factor identification.

Integrations include Microsoft services like Dynamics 365 and Power BI (native), third-party services like GitHub, and 600+ out-of-the-box connectors and workflows to connect to SaaS apps.

Google App Engine (GAE) is a cloud computing technology for building and hosting secure and scalable web applications. I ranked this highly because it offers a fully-managed serverless platform where development teams can focus on writing their code and not bother with managing the underlying infrastructure.

Why I picked Google App Engine: I was impressed by GAE for its ease of integration with Google services like BigQuery and DataStore, which makes it easy for developers to build and manage services from one central place if they are already using Google services.

I also appreciated that GAE supports many programming languages, such as Python, Ruby, C#, and JavaScript. Moreover, developers can import frameworks and libraries via docker containers, which are standalone, lightweight executable packages with code, libraries, and system tools that can easily move between different environments. You may also appreciate that the service provides software developer kits (SDKs) so you can build and test your apps before releasing them.

Google App Engine Standout Features and Integrations:

Features I believe that can help you if you are looking for Google-based integrations are that GAE includes support for some of the most popular languages like Go, Python, or PHP, powerful application security with SSL/TLS certificates on your custom domain, diagnostics functionalities that track app health and performance, and Cloud Debugger and Error Reporting to identify and fix bugs.

Integrations are pre-built for Google Cloud Platform services, such as Cloud SQL, Cloud Storage, and Cloud Datastore, and are natively available for popular developer platforms like Bitbucket and GitHub.

Since Engine Yard has over a decade of AWS and Ruby experience, it can be the ideal platform for businesses looking to leverage the full potential of AWS while minimizing the complexity of their infrastructure. It’s also a great option for businesses that need to comply with industry regulations such as HIPAA, PCI DSS, and SOC 2, as well as for teams that require support for multiple cloud providers.

Why I picked Engine Yard: One powerful reason that I put Engine Yard on this list is that it ensures maximum safety and security by providing every customer with a dedicated AWS account and a set of Virtual Private Clouds (VPCs) housed within a private, fully-configured Kubernetes cluster. This setup protects all customer data by eliminating potential security risks associated with public internet connections.

Engine Yard Standout Features and Integrations:

Features that differentiate Engine Yard include automated notifications of application failure or abnormalities, and support for Ruby, Java, Python, PHP, and Java. I also appreciated that you don’t need to deploy hooks—just using the GIT repository link is enough.

Integrations are native and include Amazon VPC, New Relic for monitoring performances, Github, and PostgreSQL.

AWS Elastic Beanstalk is Amazon’s PaaS service provider, which leverages AWS services like Amazon S3 and Amazon Elastic Cloud Compute (EC2), and which supports both web and worker applications.

Why I picked AWS Elastic Beanstalk: The headline feature that made Elastic Beanstalk stand out to me is flexibility. I found deploying and scaling web apps easy thanks to support for popular servers like IIS, Apache, and Nginx and the flexibility of working with many programming languages, such as Python, .NET, Java, PHP, Ruby, and Go. You also have the freedom to deploy your code from multiple options like Visual Studio, AWS Management Console, and Eclipse.

AWS Elastic Beanstalk Standout Features and Integrations:

Features I like in Beanstalk include automatic load balancing, capacity provisioning, health monitoring with 40+ key attributes, and CPU usage and latency performance metrics.

Integrations are pre-built for all Amazon services like Amazon RDS that help manage relational databases, AmazonS3 for storage and backup, AWS VPC for isolated networks, and AWS Identity and Access Management for setting access controls.

With DigitalOcean, developers can provision application stacks, deploy code, and monitor application performance. DigitalOcean's intuitive user interface, robust API, and extensive documentation make it a top choice for developers who want to release apps quickly.

Why I picked DigitalOcean: I immediately appreciated DigitalOcean’s ease of use, thanks to a great user interface. DigitalOcean is also popular for a feature called “Droplets,” which are Linux-based virtual machines you can set up in seconds. They’re highly scalable and come with 99.99% SLAs and uptime. You can also configure alerts from the control panel so that you know how the app is functioning.

DigitalOcean Standout Features and Integrations:

Features that I feel businesses can find useful are managed Kubernetes clusters, quick installation for CMS tools, support for various server-side coding frameworks, languages, and databases like MySQL and Redis.

Integrations are native to the most commonly used tools by DevOps teams like Chef, Ansible, Puppet, Rancher, SaltStack, and Slack. It also has Zapier connection to over 300+ apps.

Oracle Cloud Infrastructure (OCI) offers cloud services to let you build and run various applications and services in a high-compute environment with secure storage capacity.

Why I picked Oracle Cloud Infrastructure: OCI stands out for me because it not only offers the standard cloud services like migration and storage, but also includes a wide array of capacities like analytics, databases, data lakes, AI, business intelligence, and FEDRAMP-complaint government clouds. In addition, it provides high data availability that reduces failures and downtimes.

OCI Standout Features and Integrations:

Features that I believe make OCI noteworthy are bare metal and virtual machine compute, vulnerability audit to scan common vulnerabilities and exposures (CVEs), and automated CI/CD pipelines and repository management processes to optimize app development.

Integrations are available natively for most popular tools, including Grafana for metrics, Slack for communication, GitLab for pipelines, and Terraform to deploy infrastructure as code.

Acquia Cloud Platform comes with a set of tools optimized for the Drupal CMS. This makes it easier for developers, site builders, and content editors to build and manage Drupal sites.

Why I picked Acquia: I like how Acquia Cloud Platform is a comprehensive solution for hosting web applications that prioritizes reliability, scalability, security, and user experience with DevOps integration, application monitoring, backups, workflow management, and site access control.

Acquia Standout Features and Integrations:

Features that I recommend are its Content Delivery Network (CDN) that lets you provide high-speed content delivery to users across regions and a global load balancer that distributes traffic across regions to maintain optimal performance. It also comes with a site factory feature lets you manage multiple sites for various languages, brands, regions, or campaigns which can make work easier for Drupal developers.

Integrations include many native options like LiveRamp, Facebook, Salesforce, Zendesk, Shopify, SAP, MailChimp, Eventbrite, Adobe Analytics, and Informatica and Platform APIs for custom integrations.