QA Machine Engineer at a insurance company with 1,001-5,000 employees
Real User
Top 20
Jul 2, 2026
A specific example of how I used YugabyteDB Aeon in my project involves our usage of MSSQL, which is a traditional SQL architecture-based database, and I find that YugabyteDB Aeon's distributed architecture really helps in our production case where we are experiencing a single node that goes down when the traffic is too much and without backup or pre-production environment. If I were using YugabyteDB Aeon, I would implement my database to YugabyteDB Aeon itself, which would solve the issues we encounter. I have not experienced or had extensive hands-on work with YugabyteDB Aeon, but it was a great experience from my side. YugabyteDB Aeon addresses my issue of the production server going down under heavy load without backup, which was quite hectic. With YugabyteDB Aeon in place, I do not need to worry about system downtimes, as we can easily transfer traffic to different distributed servers. There is always some improvement required for any tool, and different perspectives can lead to enhancements. I rate YugabyteDB Aeon as a nine out of ten.
I would rate YugabyteDB Aeon an eight out of ten. I choose eight out of ten because YugabyteDB Aeon does not work on a large scale level database; it works better for small databases or we can say cloud databases. Regarding YugabyteDB Aeon's AI capabilities, I think that there are no particular built-in features where we can use it for risk governance and security. Concerning YugabyteDB Aeon's AI capabilities, for cloud-native software applications, it will be reliable, but we cannot say it will be reliable for bare-metal clusters. In terms of latency and throughput for my workloads, YugabyteDB Aeon has different workload mechanisms to integrate, so it depends on how my workload is required. The documentation and learning resources for YugabyteDB Aeon are useful, as the knowledge articles provided by YugabyteDB Aeon are useful but need consolidated data on what is required. My advice for others looking into using YugabyteDB Aeon is that you can use YugabyteDB Aeon if you are using the public cloud, not on the private cloud or private infrastructure. My overall rating for YugabyteDB Aeon is eight out of ten.
Software Engineer at a consultancy with 11-50 employees
Real User
Top 20
Jul 1, 2026
I would recommend that others who want better scaling of their data use the distributed system feature in YugabyteDB Aeon. The cluster setup is not difficult; it is very easy. These are all the things I would recommend to someone if they are going to use YugabyteDB Aeon. I would rate this product highly based on my overall experience.
YugabyteDB Aeon is a globally distributed SQL database designed for cloud-native applications, offering transactional consistency, high availability, and scalability. Its geo-distributed architecture ensures data is always accessible, providing seamless enterprise integration.
YugabyteDB Aeon enhances database infrastructure with features that ensure application uptime and performance. It supports multi-region deployments, offering transactional integrity without compromising latency. The...
A specific example of how I used YugabyteDB Aeon in my project involves our usage of MSSQL, which is a traditional SQL architecture-based database, and I find that YugabyteDB Aeon's distributed architecture really helps in our production case where we are experiencing a single node that goes down when the traffic is too much and without backup or pre-production environment. If I were using YugabyteDB Aeon, I would implement my database to YugabyteDB Aeon itself, which would solve the issues we encounter. I have not experienced or had extensive hands-on work with YugabyteDB Aeon, but it was a great experience from my side. YugabyteDB Aeon addresses my issue of the production server going down under heavy load without backup, which was quite hectic. With YugabyteDB Aeon in place, I do not need to worry about system downtimes, as we can easily transfer traffic to different distributed servers. There is always some improvement required for any tool, and different perspectives can lead to enhancements. I rate YugabyteDB Aeon as a nine out of ten.
I would rate YugabyteDB Aeon an eight out of ten. I choose eight out of ten because YugabyteDB Aeon does not work on a large scale level database; it works better for small databases or we can say cloud databases. Regarding YugabyteDB Aeon's AI capabilities, I think that there are no particular built-in features where we can use it for risk governance and security. Concerning YugabyteDB Aeon's AI capabilities, for cloud-native software applications, it will be reliable, but we cannot say it will be reliable for bare-metal clusters. In terms of latency and throughput for my workloads, YugabyteDB Aeon has different workload mechanisms to integrate, so it depends on how my workload is required. The documentation and learning resources for YugabyteDB Aeon are useful, as the knowledge articles provided by YugabyteDB Aeon are useful but need consolidated data on what is required. My advice for others looking into using YugabyteDB Aeon is that you can use YugabyteDB Aeon if you are using the public cloud, not on the private cloud or private infrastructure. My overall rating for YugabyteDB Aeon is eight out of ten.
I would recommend that others who want better scaling of their data use the distributed system feature in YugabyteDB Aeon. The cluster setup is not difficult; it is very easy. These are all the things I would recommend to someone if they are going to use YugabyteDB Aeon. I would rate this product highly based on my overall experience.