Best Cloud Infrastructure Automation Software for PostgreSQL

Compare the Top Cloud Infrastructure Automation Software that integrates with PostgreSQL as of July 2025

This a list of Cloud Infrastructure Automation software that integrates with PostgreSQL. Use the filters on the left to add additional filters for products that have integrations with PostgreSQL. View the products that work with PostgreSQL in the table below.

What is Cloud Infrastructure Automation Software for PostgreSQL?

Cloud infrastructure automation software provides platforms and tools that enable IT professionals and DevOps teams to manage and automate processes related to cloud infrastructure management and operations. Compare and read user reviews of the best Cloud Infrastructure Automation software for PostgreSQL currently available using the table below. This list is updated regularly.

  • 1
    Movestax

    Movestax

    Movestax

    Movestax revolutionizes cloud infrastructure with a serverless-first platform for builders. From app deployment to serverless functions, databases, and authentication, Movestax helps you build, scale, and automate without the complexity of traditional cloud providers. Whether you’re just starting out or scaling fast, Movestax offers the services you need to grow. Deploy frontend and backend applications instantly, with integrated CI/CD. Fully managed, scalable PostgreSQL, MySQL, MongoDB, and Redis that just work. Create sophisticated workflows and integrations directly within your cloud infrastructure. Run scalable serverless functions, automating tasks without managing servers. Simplify user management with Movestax’s built-in authentication system. Access pre-built APIs and foster community collaboration to accelerate development. Store and retrieve files and backups with secure, scalable object storage.
    Starting Price: $20/month
  • 2
    JHipster

    JHipster

    JHipster

    JHipster is a development platform to quickly generate, develop, and deploy modern web applications and microservice architectures. We support many frontend technologies, including Angular, React, and Vue. We even have mobile app support for Ionic and React Native! On the backend, we support Spring Boot (with Java or Kotlin), Micronaut, Quarkus, Node.js, and . NET. For deployment, we embrace cloud-native principles with Docker and Kubernetes. Deployment support exists for AWS, Azure, Cloud Foundry, Google Cloud Platform, Heroku, and OpenShift. Our goal is to generate a complete and modern web app or microservice architecture. A high-performance and robust server-side stack with excellent test coverage. A sleek, modern, mobile-first UI with Angular, React, or Vue + Bootstrap for CSS. A powerful workflow to build your application with Webpack and Maven or Gradle. Resilient microservice architecture with cloud-native principles in mind.
  • 3
    DROPS

    DROPS

    DROPS

    DROPS is a release management tool designed to simplify, secure, and centralize the deployment of applications across data centers, hybrid, and multi-cloud infrastructures. It supports a wide range of platforms, integrates seamlessly with various CI/CD pipelines, and offers both agent-based and agentless operations. With features like full-stack release management, automated infrastructure provisioning, and 24/7 availability, DROPS aims to streamline deployment processes and ensure consistent, reliable delivery. The tool is flexible enough to manage both legacy and modern applications, catering to diverse enterprise needs. Select agent-based or agentless operation. No need for agent installation and management. DROPS adapts to your configuration and if agents are needed, they are provisioned automatically. Plan and organize your application deployment from the web console with no scripting needed. Ease collaboration between stakeholders and technical teams.
  • 4
    Canonical Juju
    Better operators for enterprise apps with a full application graph and declarative integration for both Kubernetes and legacy estate. Juju operator integration allows us to keep each operator as simple as possible, then compose them to create rich application graph topologies that support complex scenarios with a simple, consistent experience and much less YAML. The UNIX philosophy of ‘doing one thing well’ applies to large-scale operations code too, and the benefits of clarity and reuse are exactly the same. Small is beautiful. Juju allows you to adopt the operator pattern for your entire estate, including legacy apps. Model-driven operations dramatically reduce maintenance and operations costs for traditional workloads without re-platforming to K8s. Once charmed, legacy apps become multi-cloud ready, too. The Juju Operator Lifecycle Manager (OLM) uniquely supports both container and machine-based apps, with seamless integration between them.
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