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  4. Platform As A Service
  5. Jelastic vs jFrog

Jelastic vs jFrog

OverviewComparisonAlternatives

Overview

Jelastic
Jelastic
Stacks38
Followers60
Votes74
jFrog
jFrog
Stacks131
Followers104
Votes0

Jelastic vs jFrog: What are the differences?

Introduction:
Jelastic and JFrog are two popular platforms in the DevOps ecosystem, each offering unique features and functionalities to support development and deployment processes.

  1. Deployment Automation: Jelastic focuses on PaaS functionality, providing automated deployment, scaling, and management of applications, while JFrog is primarily focused on providing tools for managing and distributing software artifacts within the CI/CD pipeline.

  2. Container Orchestration: Jelastic offers built-in support for container orchestration with Kubernetes and Docker Swarm, allowing users to easily manage and deploy containerized applications, whereas JFrog does not offer native container orchestration capabilities within their platform.

  3. SaaS vs. Self-hosted: Jelastic is offered as a SaaS platform, providing a managed solution for deploying and scaling applications without the need for infrastructure management, while JFrog Artifactory is typically deployed as a self-hosted solution, giving users more control over their artifact repository.

  4. Focus on Continuous Integration/Continuous Deployment (CI/CD): JFrog focuses more on providing solutions for artifact management and integration with CI/CD pipelines, offering tools like JFrog Artifactory and JFrog Pipelines, whereas Jelastic caters more towards providing a complete platform for application deployment and scaling.

  5. Cost Structure: Jelastic operates on a pay-as-you-go model based on usage and resources consumed, offering flexibility and scalability for users, while JFrog typically operates on a subscription-based pricing model for its software products, which may be more cost-effective for organizations with predictable usage patterns.

  6. Community Support: Jelastic has a strong focus on community support and collaboration, with active forums and documentation to help users troubleshoot issues and share best practices, whereas JFrog also has a community presence, but may rely more on their support services for technical assistance and guidance.

In Summary, Jelastic and JFrog offer distinct features in the DevOps landscape: Jelastic focuses on PaaS deployment automation and container orchestration, while JFrog specializes in artifact management within CI/CD pipelines.

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Detailed Comparison

Jelastic
Jelastic
jFrog
jFrog

Jelastic is a Multi-Cloud DevOps PaaS for ISVs, telcos, service providers and enterprises needing to speed up development, reduce cost of IT infrastructure, improve uptime and security.

Host, manage and proxy artifacts using the best Docker Registry, Maven Repository, Gradle repository, NuGet repository, Ruby repository, Debian repository npm repository, Yum repository.

Public, Private, Hybrid and Multi-Cloud deployments;Support of microservices and legacy applications with zero code changes;Automated continuous integration, delivery and upgrade processes;More than 50 certified containers out-of-the-box;Managed multi-tenant Kubernetes and Docker containers support;Automatic vertical and horizontal scaling according to applications load;Superb developer web portal for easy provisioning, scaling and updating environments;Open API, CLI and SSH access;Automated replication for application servers and databases;Comprehensive billing engine, quotas and access control policies
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Statistics
Stacks
38
Stacks
131
Followers
60
Followers
104
Votes
74
Votes
0
Pros & Cons
Pros
  • 13
    Automatic scaling
  • 12
    Pay-per-Use on an hourly basis
  • 12
    Managed hosting
  • 8
    Constantly evolving
  • 6
    Multiple hosting providers
No community feedback yet
Integrations
Spring Boot
Spring Boot
Jenkins
Jenkins
Kubernetes
Kubernetes
Docker
Docker
WordPress
WordPress
PostgreSQL
PostgreSQL
NGINX
NGINX
MongoDB
MongoDB
Cassandra
Cassandra
GitLab
GitLab
No integrations available

What are some alternatives to Jelastic, jFrog?

Heroku

Heroku

Heroku is a cloud application platform – a new way of building and deploying web apps. Heroku lets app developers spend 100% of their time on their application code, not managing servers, deployment, ongoing operations, or scaling.

Clever Cloud

Clever Cloud

Clever Cloud is a polyglot cloud application platform. The service helps developers to build applications with many languages and services, with auto-scaling features and a true pay-as-you-go pricing model.

Google App Engine

Google App Engine

Google has a reputation for highly reliable, high performance infrastructure. With App Engine you can take advantage of the 10 years of knowledge Google has in running massively scalable, performance driven systems. App Engine applications are easy to build, easy to maintain, and easy to scale as your traffic and data storage needs grow.

Red Hat OpenShift

Red Hat OpenShift

OpenShift is Red Hat's Cloud Computing Platform as a Service (PaaS) offering. OpenShift is an application platform in the cloud where application developers and teams can build, test, deploy, and run their applications.

AWS Elastic Beanstalk

AWS Elastic Beanstalk

Once you upload your application, Elastic Beanstalk automatically handles the deployment details of capacity provisioning, load balancing, auto-scaling, and application health monitoring.

Render

Render

Render is a unified platform to build and run all your apps and websites with free SSL, a global CDN, private networks and auto deploys from Git.

Hasura

Hasura

An open source GraphQL engine that deploys instant, realtime GraphQL APIs on any Postgres database.

Cloud 66

Cloud 66

Cloud 66 gives you everything you need to build, deploy and maintain your applications on any cloud, without the headache of dealing with "server stuff". Frameworks: Ruby on Rails, Node.js, Jamstack, Laravel, GoLang, and more.

Dokku

Dokku

It is an extensible, open source Platform as a Service that runs on a single server of your choice. It helps you build and manage the lifecycle of applications from building to scaling.

PythonAnywhere

PythonAnywhere

It's somewhat unique. A small PaaS that supports web apps (Python only) as well as scheduled jobs with shell access. It is an expensive way to tinker and run several small apps.

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