---
title: Apache Aurora Reviews
meta_title: 'Apache Aurora Reviews 2026: Details, Pricing, & Features | G2'
meta_description: Filter 27 reviews by the users' company size, role or industry to
  find out how Apache Aurora works for a business like yours.
aggregate_rating:
  rating_value: 4.3
  review_count: 27
  scale: '5'
date_modified: '2026-06-15'
parent_category:
  name: Containerization
  url: https://www.g2.com/categories/containerization
---

# Apache Aurora Reviews
**Vendor:** The Apache Software Foundation  
**Category:** [Container Orchestration Tools](https://www.g2.com/categories/container-orchestration)  
**Average Rating:** 4.3/5.0  
**Total Reviews:** 27
## About Apache Aurora
Aurora runs applications and services across a shared pool of machines, and is responsible for keeping them running, forever. When machines experience failure, Aurora intelligently reschedules those jobs onto healthy machines.




## Apache Aurora Reviews
  ### 1. Apache Aurora user

**Rating:** 5.0/5.0 stars

**Reviewed by:** Rushabh S. | Lead Software Engineer, Mid-Market (51-1000 emp.)

**Reviewed Date:** October 20, 2023

**What do you like best about Apache Aurora?**

It is one of easiest cooridinator and scheduler service for jobs.

**What do you dislike about Apache Aurora?**

Nothing as such. Everything is fulfilling my needs.

**What problems is Apache Aurora solving and how is that benefiting you?**

've been using Apache Aurora for quite some time in our organization, and I must say, it's been quite a game-changer for us. Here's a rundown of why I find it compelling:

Unparalleled Fault Tolerance: Aurora stands out with its auto-restart for failed tasks. No more late-night panic sessions when a node fails; Aurora's got our back.

Built for the Big Leagues: The scalability is off the charts. From my experience, if you're a big organization with massive computing needs, Aurora is your best bet.

Frugal on Resources: The resource allocation is smart. Aurora ensures that no resource goes to waste, and that means cost savings for us.

Sophisticated Scheduling: It’s not just about allocating resources; the advanced scheduling policies are a lifesaver for complex workload scenarios.

Friendly with Stateful Services: Running databases or other stateful services? Aurora doesn’t shy away. This versatility is a big plus.

  ### 2. Apache Aurora : Robust Job Scheduler for Distributed Environments:

**Rating:** 4.0/5.0 stars

**Reviewed by:** Venkata Sai Vardhan B. | Digital Specialist Engineer, Enterprise (> 1000 emp.)

**Reviewed Date:** June 11, 2023

**What do you like best about Apache Aurora?**

Efficiently distributing tasks across a cluster of machines, Aurora has proven a popular choice for users looking to scale their large deployments. Handling those large-scale demands efficiently, its scalable capabilities have not gone unnoticed.
Aurora prioritizes fault tolerance, boasting a reliable system due to managing failures with its effective mechanisms. It guarantees high availability of tasks and jobs, solidifying its capacity for fault-tolerant execution.
Providing adaptability to different infrastructure setups, Apache Aurora offers flexibility by integrating with varying managers of resources like Apache Mesos or Kubernetes and supporting various storage backends for deployment environments.
Apache Aurora provides a top-notch interface for defining and administering jobs, a feature that users find pretty impressive. This allows for easy management of complex workflows, thanks to the ability to specify job requirements, resource constraints, and dependencies, which give granular control over task execution.

**What do you dislike about Apache Aurora?**

Apache Aurora's bulkiness may not be ideal for small-scale deployments. While the software is meant to cater to large-scale setups, I think it's too complicated and intense for smaller operations with limited resources. Considering your unique requirements, the investment in handling and administering Apache Aurora may not be worth it for modest deployments.
Unlike other orchestration and job scheduling frameworks, Apache Aurora's community and adoption are lower. As a result, limited community support, resources, and third-party integrations may be available to users, especially when compared to more commonly used alternatives.

**What problems is Apache Aurora solving and how is that benefiting you?**

Apache Aurora solves complex job scheduling, offering scalability, fault tolerance, and resource optimization. It simplifies the management of intricate jobs, efficiently distributes tasks across clusters, and handles failures to ensure uninterrupted execution. By optimizing resource utilization and integrating with existing systems, Apache Aurora boosts efficiency and streamlines job automation processes. Its benefits include improved scheduling, scalability, reliability, and resource efficiency.

  ### 3. Streamlining Cloud Deployments with Apache Aurora - A Positive Review

**Rating:** 4.5/5.0 stars

**Reviewed by:** Abhishek R. | Master Associate, Financial Services, Small-Business (50 or fewer emp.)

**Reviewed Date:** July 12, 2023

**What do you like best about Apache Aurora?**

One of the things that I like best about Apache Aurora is its reliability and high availability. The platform is designed to handle failures gracefully and ensure that our applications are always up and running. This has been especially important for our critical applications, as we can now rest assured that they will be available when our users need them. Additionally, the platform's user-friendly interface and ability to scale up or down as needed have also been major advantages for our team. Overall, I am extremely satisfied with the performance and reliability of Apache Aurora.

**What do you dislike about Apache Aurora?**

One of the things that I dislike about Apache Aurora is that it can be a bit difficult to set up and configure at times. While the platform is relatively easy to use once you get the hang of it, the initial setup process can be a bit overwhelming. Additionally, the documentation and support resources could be improved, as there have been a few instances where I have had difficulty finding the information I needed to solve a specific problem. However, I should note that these issues are relatively minor, and overall I am extremely satisfied with the platform.

**What problems is Apache Aurora solving and how is that benefiting you?**

Apache Aurora is solving the problem of streamlining cloud deployments for our team. By using the platform, we have been able to improve the efficiency of our cloud deployments and reduce the time it takes to spin up new applications. Additionally, the platform's high availability and reliability have been major advantages for our critical applications, ensuring that they are always up and running when our users need them. Overall, Apache Aurora has greatly benefited our team by providing a reliable and user-friendly cloud platform that has improved our ability to deploy and manage our applications.

  ### 4. Powerful Open-Source Mesos Framework

**Rating:** 4.5/5.0 stars

**Reviewed by:** 🍻 Tarun M. | Senior Quality Engineer, Enterprise (> 1000 emp.)

**Reviewed Date:** July 11, 2023

**What do you like best about Apache Aurora?**

I have used various workflow management tools and job schedulers like Marathon, YARN Hadoop. Still, I like using Apache Aurora the most due to its capability to do the heavy lifting for workflows. It can manage resources and resolve dependencies. One can do required configuration management at lower levels also. It helps in doing complex tasks quickly.

**What do you dislike about Apache Aurora?**

It is not suitable for small projects having a small infrastructure. And it has a good level of a learning curve to have good hands-on in it. It is best for big projects with a good number of users and cron jobs but not for small projects with fewer use cases for background jobs.

**What problems is Apache Aurora solving and how is that benefiting you?**

Apache Aurora is helping DevOps administrators to manage extensive infrastructure smoothly, schedule cron jobs, and manage complex workflows. 
We can scale our application to any number of users and manage resources individually. 
The best feature of Apache Aurora I like is its capability to allow multiple users to deploy services.

  ### 5. Apache Aurora : Review

**Rating:** 4.0/5.0 stars

**Reviewed by:** Arshdeep S. | Data Analyst, Enterprise (> 1000 emp.)

**Reviewed Date:** July 03, 2023

**What do you like best about Apache Aurora?**

API AND CLI interaction : It makes easy to connect with scheduler progmatically which makes it easier to connect with external utilities to automate tasks.

Job scheduling: 
It allows you to define tasks, dependencies, resource requirment and create complex workflows.

Scaliblity: 
It can handle large scale deployments which makes it robust in handling large amount of tasks managment

**What do you dislike about Apache Aurora?**

1. No GUI based managment console

2.Dynamic resource allocation
No built in feature for allocating resources to tasks based on demand.

3.Container orchestration:
Aurora focuses primarily on long-running services and lacks some advanced container management features, such as rolling deployments, health checks, and container networking.

**What problems is Apache Aurora solving and how is that benefiting you?**

Orchestration of batch data pipelines 

We have dependencies on data files for executing our batch process, once the data is available on landing zone our listner code triggers the aurora through CLI to trigger the entire flow. We have also used it in our test automation scripts

  ### 6. Apache Aurora

**Rating:** 5.0/5.0 stars

**Reviewed by:** Roopam C. | Mid-Market (51-1000 emp.)

**Reviewed Date:** July 25, 2023

**What do you like best about Apache Aurora?**

Apache Aurora is a robust and scalable job scheduler, ideal for managing large-scale distributed systems. Its fault-tolerant design ensures high availability, while its user-friendly interface streamlines task management. With powerful features and seamless integration, Aurora excels in orchestrating complex workloads efficiently. A top choice for modern infrastructure management.

**What do you dislike about Apache Aurora?**

Complex setup and configuration can be challenging for newcomers. Limited documentation and community support may hinder troubleshooting. Aurora's learning curve may deter users seeking quick deployment.

**What problems is Apache Aurora solving and how is that benefiting you?**

Apache Aurora addresses the challenges of managing large-scale distributed systems by providing a robust and scalable job scheduler. It ensures fault-tolerance, high availability, and efficient resource utilization. By streamlining task management and offering seamless integration, Aurora simplifies the orchestration of complex workloads, making it a valuable tool for modern infrastructure management.

  ### 7. Too much friction to get started

**Rating:** 2.0/5.0 stars

**Reviewed by:** Pranshu C. | Mid-Market (51-1000 emp.)

**Reviewed Date:** July 11, 2023

**What do you like best about Apache Aurora?**

Been using Apache Aurora for a long time. The best part of Aurora is the scale at which it can run. Previously we were using some in-house tech long-running data ingestion services.

**What do you dislike about Apache Aurora?**

The major issue was to get this up and running in our infra and make other services compatible to utilise the tech to its full potential. 
Apart from that, there are some minor bugs which sometimes become a blocker.

**What problems is Apache Aurora solving and how is that benefiting you?**

To schedule and scale our data ingestion jobs and services.

  ### 8. One of the best developer friendly API and CLI interaction available in market.

**Rating:** 4.0/5.0 stars

**Reviewed by:** Kishore M. | Associate Technical Consultant, Small-Business (50 or fewer emp.)

**Reviewed Date:** July 08, 2023

**What do you like best about Apache Aurora?**

Task management is easy and robust with the clusters of machines, and Aurora guarantees the high availability of tasks and jobs, which makes it well-suited for enterprise application deployment.

**What do you dislike about Apache Aurora?**

Unless the jobs are not more extensive, there is no need to use Aurora. Apache Aurora doesn't have GUI based management console, which would have been an efficient way to do the configuration.

**What problems is Apache Aurora solving and how is that benefiting you?**

We have many jobs, and Aurora helped solve the resource optimization, and complex jobs are scheduled in a perfect manner.  Aurora distributes the job across the clusters, so we wouldn't have to focus on expanding the resources.

  ### 9. Empowering Scalable and Fault-Tolerant Distributed Systems

**Rating:** 4.5/5.0 stars

**Reviewed by:** Verified User in Insurance | Enterprise (> 1000 emp.)

**Reviewed Date:** June 09, 2023

**What do you like best about Apache Aurora?**

Apache Aurora is an exceptional open-source framework that excels in managing scalable and fault-tolerant distributed systems. With its impressive scalability, fault tolerance mechanisms, and powerful job scheduling capabilities, it empowers organizations to build resilient and efficient applications. The API-driven operations and supportive community further enhance its value as a reliable framework for distributed system management.

**What do you dislike about Apache Aurora?**

Some potential challenges with Apache Aurora include its steep learning curve, perceived complexity, lack of built-in GUI, limited language support, and potentially smaller user community compared to other frameworks. However, these factors can vary depending on individual experiences and specific use cases.

**What problems is Apache Aurora solving and how is that benefiting you?**

Apache Aurora solves the problems of scalability, fault tolerance, efficient resource utilization, automation, and extensibility in managing distributed systems. In my project, it improves system reliability and operational efficiency and enables users to build scalable and resilient applications tailored to their specific needs.

  ### 10. Apache Aurora Review

**Rating:** 4.5/5.0 stars

**Reviewed by:** Zayd K. | Team Lead, Computer Software, Mid-Market (51-1000 emp.)

**Reviewed Date:** June 21, 2023

**What do you like best about Apache Aurora?**

Apache Aurora can easily manage my thousands of tasks across a cluster of machines. Apache Aurora provides a rich set of APIs that enable programmatic control as well as, it supports other tools and frameworks, like Apache Mesos.

**What do you dislike about Apache Aurora?**

When I tried to set up Apache, Aurora was very complex to configure. Using Apache Mesos requires or dependence on significant hardware resources. it is de designed for managing long-running only.

**What problems is Apache Aurora solving and how is that benefiting you?**

Apache Aurora has an active community. It may not be as large or diverse as some other open-source projects. They need to do something for setup. Setup is a very long and complex process.

  ### 11. A Reliable and Scalable Scheduler: Apache Aurora Review

**Rating:** 4.0/5.0 stars

**Reviewed by:** Ayush S. | Lead DevOps Engineer, Small-Business (50 or fewer emp.)

**Reviewed Date:** May 27, 2023

**What do you like best about Apache Aurora?**

One of the standout features of Apache Aurora is its scalability and fault-tolerance. It excels in managing and scaling jobs across large clusters, allowing users to efficiently utilize resources and handle diverse workloads

**What do you dislike about Apache Aurora?**

Few aspects that some users may find challenging or less favorable, Limited Ecosystem Integrations, size and activity level of its community can be relatively smaller compared to other similar tools

**What problems is Apache Aurora solving and how is that benefiting you?**

Used for managing and orchestrating distributed tasks and workloads across large clusters. It helps schedule and coordinate tasks, ensuring efficient resource allocation and reliable job execution.  well-suited for batch processing scenarios where a large volume of data needs to be processed

  ### 12. Impressive framework for long running jobs

**Rating:** 5.0/5.0 stars

**Reviewed by:** Jyoti S. | Data Engineer, Enterprise (> 1000 emp.)

**Reviewed Date:** July 14, 2023

**What do you like best about Apache Aurora?**

It is perfect for long running jobs. It is scalable and fault tolerant. For big and long running jobs having big data, it is really helpful.The jobs can be easily scheduled.

**What do you dislike about Apache Aurora?**

While it is effecient for long running jobs, for small jobs it is complicated.

**What problems is Apache Aurora solving and how is that benefiting you?**

We are using it to run our big data applications. It orchestrates and uses all features for mesos.

  ### 13. Review

**Rating:** 5.0/5.0 stars

**Reviewed by:** Hritik C. | Mid-Market (51-1000 emp.)

**Reviewed Date:** July 27, 2023

**What do you like best about Apache Aurora?**

Apache Aurora for its scalability and fault-tolerance in managing long-running services and cron jobs.

**What do you dislike about Apache Aurora?**

ave reported challenges with the initial setup and configuration process when working with Apache Aurora.

**What problems is Apache Aurora solving and how is that benefiting you?**

Apache Aurora solves the challenges of managing scalable and fault-tolerant distributed systems, benefiting me with automated fault handling and efficient job scheduling, reducing operational overhead and downtime.

  ### 14. Apache aurora - No need to worry about service uptime again!

**Rating:** 4.0/5.0 stars

**Reviewed by:** Riya J. | Product Designer, Design, Mid-Market (51-1000 emp.)

**Reviewed Date:** January 17, 2023

**What do you like best about Apache Aurora?**

When my team was looking to solve 3 main issues with our running services: Make services highly available, Make sure we can scale them when needed, and the software/service should be easy to use and set up without must hassle. This is the exact problem that apache aurora solved for us. Aurora is designed to handle large clusters of 10s of machines, making it well-suited for running large-scale workloads, which was our use case in one of the cron jobs we had set up.

**What do you dislike about Apache Aurora?**

I mainly find two issues: 1. It is not meant for short-time running services, like batch jobs, it is mainly used for long-time running services hence we need to maintain two schedulers along with apache aurora, we also used Kubernetes which added a workload on our engineers. Another thing that I felt was the community is although nice, not as grown as Kubernetes or other schedulers out there.

**What problems is Apache Aurora solving and how is that benefiting you?**

In my company, we wanted to process big pdf files, sometimes that went to > 300Mb, this was a heavy workload task and we needed to make sure this happens every few hours (We would get a link through API webhook), hence we wanted our services to be highly available, also we wanted that our systems could process this high workload, then scale or downscale workers according to the requirements or traffic, this really made apache aurora a great choice for us.

  ### 15. Good For Sheduling extensive jobs

**Rating:** 3.5/5.0 stars

**Reviewed by:** Hari K. | Senior Principle engineer, Computer Software, Mid-Market (51-1000 emp.)

**Reviewed Date:** July 12, 2023

**What do you like best about Apache Aurora?**

We can schedule giant long-run jobs in clusters using Apache Aurora, and the fault tolerance machine works well for cluster failure instances.  We may use it for free because it is an open-source tool.

**What do you dislike about Apache Aurora?**

Configuring Apache Aurora is kind of complicated, and we must proceed with caution. it doesn't have a friendly user interface.

**What problems is Apache Aurora solving and how is that benefiting you?**

Scheduling jobs in clusters and making our work easy.

  ### 16. To give suggestions

**Rating:** 5.0/5.0 stars

**Reviewed by:** Giri O. | Enterprise (> 1000 emp.)

**Reviewed Date:** July 27, 2023

**What do you like best about Apache Aurora?**

It has too many advantages. there are Scalability, Fault Tolerance, Configuration Management, Job Scheduling, API-driven, Community and Support.

**What do you dislike about Apache Aurora?**

some potential challenges or limitations that users may encounter with Apache Aurora while setting up them!!

**What problems is Apache Aurora solving and how is that benefiting you?**

Problems Apache Aurora Solves:Resource Management, Scalability, Fault Tolerance, Job Scheduling, Microservices Management

  ### 17. It was educational.

**Rating:** 4.5/5.0 stars

**Reviewed by:** Verified User in Computer Software | Small-Business (50 or fewer emp.)

**Reviewed Date:** July 11, 2023

**What do you like best about Apache Aurora?**

Its application for long running services is the top on the list as a requirement for many many developers.

**What do you dislike about Apache Aurora?**

Its too heavy for simple systems and it has more moving parts for security.

**What problems is Apache Aurora solving and how is that benefiting you?**

For running jobs which are more stable. Since it's more stable, its better than others.

  ### 18. Great Product

**Rating:** 4.0/5.0 stars

**Reviewed by:** Nikhil K. | ENO, Enterprise (> 1000 emp.)

**Reviewed Date:** July 19, 2023

**What do you like best about Apache Aurora?**

How easy it is to use and well it is able to serve our use cases

**What do you dislike about Apache Aurora?**

some times the configuration is a bit tedious.

**What problems is Apache Aurora solving and how is that benefiting you?**

It was really easy to do the orchestration of our containers, earlier it was very difficut to manage multiple containers.

  ### 19. Apache Aurora has smooth working and does what it is made for

**Rating:** 4.5/5.0 stars

**Reviewed by:** Sukhbirsingh K. | Associate Software Engineer, Small-Business (50 or fewer emp.)

**Reviewed Date:** July 19, 2023

**What do you like best about Apache Aurora?**

Rescheduling of jobs if some failure occurs on Healthy machines,
templating

**What do you dislike about Apache Aurora?**

The configuration part seems bit complex for non-technical person.

**What problems is Apache Aurora solving and how is that benefiting you?**

Automating the data being transferred from one system to another,
using it to handle batch jobs at scheduled times,
and performing repetative tasks

  ### 20. Great Framework

**Rating:** 4.0/5.0 stars

**Reviewed by:** Amit B. | Devops intern, Small-Business (50 or fewer emp.)

**Reviewed Date:** July 25, 2023

**What do you like best about Apache Aurora?**

Easy installation and configuration.
Advanced job scheduling and task distribution.
Fault-tolerance and self-healing capabilities.
Intuitive web-based user interface.
Supportive community.

**What do you dislike about Apache Aurora?**

Limited Ecosystem Integrations
Community Size
Maintenance and Updates:

**What problems is Apache Aurora solving and how is that benefiting you?**

Job Scheduling and Resource Utilization

  ### 21. The best

**Rating:** 5.0/5.0 stars

**Reviewed by:** Jubin T. | Technical Operations Engineer, Mid-Market (51-1000 emp.)

**Reviewed Date:** July 22, 2023

**What do you like best about Apache Aurora?**

It is the best in the business. User friendly.

**What do you dislike about Apache Aurora?**

Absolutely nothing!! This is the best product that is currently available.

**What problems is Apache Aurora solving and how is that benefiting you?**

It helps to solve problems related to service deployment, resource management and fault tolerance.

  ### 22. An Open-Source Gem for Efficient Service Scheduling and Resource Management

**Rating:** 5.0/5.0 stars

**Reviewed by:** Devadi K. | DevOps Engineer, Small-Business (50 or fewer emp.)

**Reviewed Date:** July 27, 2023

**What do you like best about Apache Aurora?**

Scalability, resource utilization, Customizability

**What do you dislike about Apache Aurora?**

Complex support, limited adoption, community support

**What problems is Apache Aurora solving and how is that benefiting you?**

Task scheduling and management, scalability, visibility and monitoring

  ### 23. Aurora made deployments and scheduling effortless.

**Rating:** 3.5/5.0 stars

**Reviewed by:** Verified User in Information Technology and Services | Small-Business (50 or fewer emp.)

**Reviewed Date:** July 12, 2023

**What do you like best about Apache Aurora?**

Deployment and scheduling jobs, easy to manage mesos tasks, it is an open source  tool,
It is cluster management tool, it runs top of mesos.cheaper than RDS

**What do you dislike about Apache Aurora?**

It is not lightweight as compared to other competitors , the components are not easy to swappable.

**What problems is Apache Aurora solving and how is that benefiting you?**

For deployment and scheduling jobs

  ### 24. My Adventure with Apache Aurora

**Rating:** 5.0/5.0 stars

**Reviewed by:** Verified User in Computer Software | Small-Business (50 or fewer emp.)

**Reviewed Date:** August 22, 2022

**What do you like best about Apache Aurora?**

Aurora is a service scheduler that runs on top of Apache Mesos. The main work of Aurora is to run / schedule service. The best thing about Aurora is we can roll back updates or schedule updates automatically without manual intervention. The other best thing is that it has a resource quota and multiuser support for deployed applications/services. It also has DSL for configuration/ deploying services and cron jobs.

**What do you dislike about Apache Aurora?**

The issue with the logging system we cannot get proper logging information for our deployed services. The UI is very slow.No built-in support for the redeploying containers from CI. Lots of hanging issues.

**What problems is Apache Aurora solving and how is that benefiting you?**

Previously we are using container service for our applications if our container goes down we need to manually start it which may cause problems related to the availability of resources due to which we face challenges in our production environment. But if we talk about Apache Aurora it has a built-in automation/ DSL configuration with which we can automate our service without human intervention.

  ### 25. The Apache 

**Rating:** 3.0/5.0 stars

**Reviewed by:** Ahmadou N. | Soccer Referee, Enterprise (> 1000 emp.)

**Reviewed Date:** June 12, 2018

**What do you like best about Apache Aurora?**

The apache Ability to run services seamlessly

**What do you dislike about Apache Aurora?**

Learning curve is somehow not that easy 

**Recommendations to others considering Apache Aurora:**

If you need a robust tool to manage your services, Apache is the answer

**What problems is Apache Aurora solving and how is that benefiting you?**

Software solutions and development

  ### 26. Great for scheduling services 

**Rating:** 3.5/5.0 stars

**Reviewed by:** Verified User in Information Technology and Services | Mid-Market (51-1000 emp.)

**Reviewed Date:** June 12, 2018

**What do you like best about Apache Aurora?**

Docker integration is really great, and it is really solid for scheduling services. 

**What do you dislike about Apache Aurora?**

A little confusing for new users, but the documentation isn't bad at all. 

**What problems is Apache Aurora solving and how is that benefiting you?**

Using Aurora to keep services running when faced with failures and give an automated way to create and update these services.

  ### 27. Apache aurora review

**Rating:** 5.0/5.0 stars

**Reviewed by:** Verified User in Information Technology and Services | Enterprise (> 1000 emp.)

**Reviewed Date:** June 12, 2018

**What do you like best about Apache Aurora?**

The software is very easy to set up and use. User friendly and helps easy navigation ans usage. Able to create virtual machine to run and smoothly incorporate into company infra. 

**What do you dislike about Apache Aurora?**

There is nothing i dislike about this software

**What problems is Apache Aurora solving and how is that benefiting you?**

Run applications over the company server



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## Top Apache Aurora Alternatives
  - [VMware vSphere](https://www.g2.com/products/vmware-vsphere/reviews) - 4.5/5.0 (746 reviews)
  - [DigitalOcean](https://www.g2.com/products/digitalocean/reviews) - 4.6/5.0 (738 reviews)
  - [Akamai Cloud Computing](https://www.g2.com/products/akamai-cloud-computing/reviews) - 4.6/5.0 (387 reviews)

