Apache Aurora Reviews & Product Details

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 Review collected by and hosted on G2.com.

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 Review collected by and hosted on G2.com.

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. Review collected by and hosted on G2.com.

While it is efficient for long running jobs, for small jobs it is complicated. Review collected by and hosted on G2.com.

Apache Aurora for its scalability and fault-tolerance in managing long-running services and cron jobs. Review collected by and hosted on G2.com.

ave reported challenges with the initial setup and configuration process when working with Apache Aurora. Review collected by and hosted on G2.com.

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. Review collected by and hosted on G2.com.

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. Review collected by and hosted on G2.com.

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. Review collected by and hosted on G2.com.

Configuring Apache Aurora is kind of complicated, and we must proceed with caution. it doesn't have a friendly user interface. Review collected by and hosted on G2.com.

It has too many advantages. there are Scalability, Fault Tolerance, Configuration Management, Job Scheduling, API-driven, Community and Support. Review collected by and hosted on G2.com.

some potential challenges or limitations that users may encounter with Apache Aurora while setting up them!! Review collected by and hosted on G2.com.

Its application for long running services is the top on the list as a requirement for many many developers. Review collected by and hosted on G2.com.

Its too heavy for simple systems and it has more moving parts for security. Review collected by and hosted on G2.com.

How easy it is to use and well it is able to serve our use cases Review collected by and hosted on G2.com.

some times the configuration is a bit tedious. Review collected by and hosted on G2.com.

Rescheduling of jobs if some failure occurs on Healthy machines, templating Review collected by and hosted on G2.com.

The configuration part seems bit complex for non-technical person. Review collected by and hosted on G2.com.

Easy installation and configuration.

Advanced job scheduling and task distribution.

Fault-tolerance and self-healing capabilities.

Intuitive web-based user interface.

Supportive community. Review collected by and hosted on G2.com.

Limited Ecosystem Integrations

Community Size

Maintenance and Updates: Review collected by and hosted on G2.com.