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Apache Aurora vs Apache Mesos: What are the differences?
Developers describe Apache Aurora as "An Apcahe Mesos framework for scheduling jobs, originally developed by Twitter". Apache Aurora is a service scheduler that runs on top of Mesos, enabling you to run long-running services that take advantage of Mesos' scalability, fault-tolerance, and resource isolation. On the other hand, Apache Mesos is detailed as "Develop and run resource-efficient distributed systems". Apache Mesos is a cluster manager that simplifies the complexity of running applications on a shared pool of servers.
Apache Aurora and Apache Mesos can be categorized as "Cluster Management" tools.
Some of the features offered by Apache Aurora are:
- Deployment and scheduling of jobs
- The abstraction a “job” to bundle and manage Mesos tasks
- A rich DSL to define services
On the other hand, Apache Mesos provides the following key features:
- Fault-tolerant replicated master using ZooKeeper
- Scalability to 10,000s of nodes
- Isolation between tasks with Linux Containers
Apache Aurora is an open source tool with 612 GitHub stars and 231 GitHub forks. Here's a link to Apache Aurora's open source repository on GitHub.
Netflix, ebay, and Twitter are some of the popular companies that use Apache Mesos, whereas Apache Aurora is used by Twitter, Chartbeat, and Oscar Health. Apache Mesos has a broader approval, being mentioned in 61 company stacks & 19 developers stacks; compared to Apache Aurora, which is listed in 6 company stacks and 3 developer stacks.
Pros of Apache Aurora
Pros of Apache Mesos
- Easy scaling21
- Web UI6
- Fault-Tolerant2
- Elastic Distributed System1
- High-Available1
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Cons of Apache Aurora
Cons of Apache Mesos
- Not for long term1
- Depends on Zookeeper1
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What is Apache Aurora?
What is Apache Mesos?
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What companies use Apache Aurora?
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