Amazon MemoryDB Pros and Cons

It has high scalability with security from AWS infrastructure. It provides high throughput with highly reliable in-memory Redis DB solution. It is able manage heavy workloads with ease. Implementation and integration in existing project is easy. Review collected by and hosted on G2.com.

Although it provides very fast RedisDB solution but it has cost on higher side which can be a problem. Review collected by and hosted on G2.com.

It provides ease of integration and implementation with backend. It is very fast in spinning off a new db and configuring it for large scale apps. It provides high availability, security and data analytics with very high throughput. It provides in-memory Redis solution which performs well under heavy user traffic. Review collected by and hosted on G2.com.

Although it is easy to integrate and it provides best in class read/write speeds but it is costly solution. Review collected by and hosted on G2.com.

its integration with other AWS solutions makes this service ideal, I manage several instances in EC2 and Memory DB works wonderfully with the instances that have Redis installed on the server, it also generates an extra layer of security that is very valuable for my websites. Review collected by and hosted on G2.com.

In general, I have liked everything about the platform, I have no complaints, perhaps I could refer to the little information that is initially available for making implementations, but otherwise, everything is perfect. Review collected by and hosted on G2.com.

The quick setup and easy implementation. It has zero to no latency for Redis MemoryDB on AWS cloud. It is capable of handling highly scalable applications with all features of Redis and with pay as you use model pricing. Review collected by and hosted on G2.com.

As it is meant for specific use cases the cost is higher compared to other services. Review collected by and hosted on G2.com.

It provides highly scalable and high performant Redis DB solution that is able to manage requests with no latency or performance drop. It allows to pay as you use. It is quick and simple to use, integrate and implement with existing projects. Review collected by and hosted on G2.com.

Although it is very fast and solves the problem but it is costly solution. Review collected by and hosted on G2.com.

It has provided high thoughput and high read/write speeds compared to relational DBs. It has allowed to deploy in-memory Redis DB cluster for caching needs. It allows to scale as per demand. Review collected by and hosted on G2.com.

It is robust solution for high demanding needs and so it has high costs and initial configuration is challenging. Review collected by and hosted on G2.com.

It has been a goto solution for Redis solution in AWS cloud. It has high performance under heavy traffic and can be configured on the go. It has backup snapshots which are much needed. It provides secured in-memory Redis DB compatible with other AWS services accompnied with AWS network security and DB analytics. Review collected by and hosted on G2.com.

As service is for high performance and demanding workloads the cost is also high. Review collected by and hosted on G2.com.

It has high throughputs and fastest in segment read/write speeds for high demanding workloads that require memoryDB. It is quicker to upgrade for memory space during peak traffic hours. It manages heavy workloads with ease. Review collected by and hosted on G2.com.

It takes time to configure and has a learning curve as it provides multiple solutions and one needs to choose the most suitable one. Also the cost compared to other cloud providers is higher as this solution is meant for specific use cases. Review collected by and hosted on G2.com.

There are multiple things that I like the most about Amazon MemoryDB however I will mention a few here based on my experience -

1. Fast read/write speed - MemoryDB stores data in memory, which enables it to achieve microsecond read and single-digit millisecond write latency, making it ideal for applications requiring fast data access.

2. Durable Data - Despite being an in-memory database, MemoryDB offers data durability through a Multi-AZ transactional log, ensuring data is not lost even in case of failures.

3. Ease of use and implementation - Since I am working in IT long back, It was not that tricky or difficult to implement Amazon MemoryDB in my organisation, and it was easy to learn and understand as well, however few of my colleagues found it little difficult however customer support are good so that shouldnt be a bottleneck. Review collected by and hosted on G2.com.

One thing that I really didn't liked was in comparison to traditional databases, MemoryDB supports a smaller range of data types, which was not suitable for all our use cases requiring complex data structures. Review collected by and hosted on G2.com.

There are many things that make this a best solution like ease of implementation, robust AWS infrastructure for in-memory db with data durability in case of failures. It provides unbeatable fast read/write speeds for MemoryDB Redis caching solution. Review collected by and hosted on G2.com.

AWS memoryDb gives speed for fast caching solutions but it has cost on upper side. Still speed compensates for the overall cost. Review collected by and hosted on G2.com.