AWS Databases Reviews

1. Ability to scale up and scale down seamlessly

2. The fact that it's managed and we don't need to maintain the infrusctucure. We only concentrate on business logic and database schema

3. It supports both SQL Server and Posgres technologies that we use

4. It's very easy to implement and pilot different solutions that we need

5. the fact we can use it on-demand making it OPEX. Review collected by and hosted on G2.com.

It's not cheap, but we maintain it as a cost of running smooth business Review collected by and hosted on G2.com.

Signing up with Amazon RDS is relatively easy and there are so many features that are offered. The backup is automated while the architecture can be scaled and replication is managed automating the complexity of the database out of the user’s way. It is a set package solution with those necessary features that increase dependence and productivity for organizations. It has very fast implementation and has good support to customers. Using frequently. It is relatively easy to integrate with other . Review collected by and hosted on G2.com.

Amazon RDS is a friendly user but its underlying infrastructure is not accessible in advanced configuration. But at the same time, the extensive feature set is a positive, but ties in with a negative — cost, especially for large workloads. RDS is a great answer for the large majority of your needs, however, it may be limited in its flexibility should you need to create something more complicated. Review collected by and hosted on G2.com.

Amazon Redshift has an easy to use and setup gives teams of all sizes access to data warehousing and analytics. It’s got robust feature and it integrates well with other AWS services to make it easy to implement and scale. Their customer support is reliable and their use frequency adds a value by using their analytics which give us important insights about our business. Review collected by and hosted on G2.com.

While powerful, Amazon Redshift can be expensive to process on a large scale with increasing amount of data. Complex joins can slow down query performance, and tuning is an expertise. In high demand environments there is limited support for unstructured data and frequent optimization can be difficult, especially for daily operations. Review collected by and hosted on G2.com.

Amazon Redshift is a game-changer, allowing us to have highly scalable and performance-enabled data warehousing for the complex project. The MPP architecture and columnar storage offer powerful query performance on the platform. Redshift also allowed us easily to integrate several AWS services, such as using S3 for data imports and Glue for ETL operations, and made our pipeline very streamlined so that data transfer and queries were decreased by many times.

With Spectrum, Redshift can handle structured as well as semi-structured data, which will allow efficient cross-database queries and productivity boost with regards to data analytics and reporting. Advanced data compression features and data distribution ensure that storage is optimally utilized while efficiently making use of and managing costs on resources. Review collected by and hosted on G2.com.

Though performance and scalability of Redshift are excellent, the system is not very easy to use for optimization and query tuning for new users. Automated tools for better configuration will enable it to reach a diverse set of teams. Review collected by and hosted on G2.com.

Whenever I need to manage large datasets, Amazon Redshift is my go-to tool. Its ability to handle complex queries and large volumes of data makes it essential for my work. The speed and efficiency with which it processes data are particularly impressive. Review collected by and hosted on G2.com.

For someone new to AWS or cloud-based data warehousing, getting started with Redshift can be a bit tricky. The initial learning curve was steep for me, especially when it came to understanding the migration process. But with time, I found it to be an invaluable platform for analyzing complex data. Review collected by and hosted on G2.com.

Amazon Relational Database Service (RDS) is truly a very flexible, powerful, scalable and full of features as AWS claims. I have using the service, including many others, in my organization since I joined, and it has served many production use -cases quite efficiently.

The best thing about Amazon RDS is it's combination of simplicity and power. Be the intuitive design on the console or the powerful CLI commands which were able to automate everything that I liked and wanted, this database is a great option for anyone looking either to migrate their on-premises databases, or choose a cloud database.

The ability AWS provides regarding scaling to up or down sizes on -demans is very good, which not only helps to meet the live customer API calls, but also helps us to manage and reduce our cost.

Even though we utilised the RDS for MySQL, MS SQL and PostGre SQL, the integration with other databases like MariaDB and more is quite appreciative, that enables us to work on projects for some customers using unconventional databases too.

I also loved the ease of connecting it to an EC2 instances whole creating the database itself, and how AWS manages many things automatically. Also, the option of managing the database credentials using Systems Manager for safety and security purpose, and ensuring nothing goes leaked is a very amazing feature as well. Review collected by and hosted on G2.com.

I don't feel something too strong to dislike about Amazon RDS, but there are certain things where improvements can surely happen. One of them and what I feel, most important, is the proper integration of RDS databases to other identity providers like Microsoft Entra, Okta etc. If the credentials can totally be removed using this seamless integration, then it will truly complete even further use cases, and Excel on the security side better.

Also, Amazon RDS can fasten the application of patches/updates on our database as soon as they are released, so that we are always ahead in the update race as well. Review collected by and hosted on G2.com.

Aurora provides us with much better performance speed than a normal traditional database. It also provides continuous automated backups in s3 without halting the live functionality of the application in the real world.

As Aurora is a managed service it becomes very easy to deploy within a few minutes.

Aurora also provides seamless integration with many AWS services for AI/ML like bedrock and Amazon SageMaker. Review collected by and hosted on G2.com.

One of the main issues we run into in Aurora is that you need to keep your database in constant auto-scaling but temporary storage is local to a computing instance and depends on its class. So if your ALTER statement requires lots of temporary space to rebuild table/index, it may fail because of insufficient local storage.

One of the other disadvantages is that we can't use the SUPER mysql command, as that is blocked. Review collected by and hosted on G2.com.

What I love best about Amazon Aurora is its performance and scalability. In a world, where NoSQL Databases are high in the competition, Aurora matches them with impressive performance and scalability features. The best part is that when all these features are automated with no manual intervention, Aurora replicates across multiple availability zones seamlessly. Review collected by and hosted on G2.com.

I felt that the pricing structure could be affordable. For large-scale projects I worked on, the pricing seems neat. This is not the case with small-scale projects. The replication and storage needs are unpredictable, as they alter on demand. Also, few database configurations are immutable, providing less flexibility than expected and not providing a complete user experience. Review collected by and hosted on G2.com.

I am mostly like multiple things into this services for example available tea and durability, user experience, cost consideration scale ability.

Its PostgreSQL, MySQL, and DSQL fearurs are very good in onrganization for managing the databases.

It is very ease of use and implementation process is good. Its customer support is very good.

Data integration is one of the best thing. Review collected by and hosted on G2.com.

if you will talk about this like then I don't think there is any this like from my side. Review collected by and hosted on G2.com.

I guess Postgres is the one which is way more helpful and trendy these days especially using libraries for distance and geo spatial data support with Relational database advantages of Joins and Aggregate functions it is really good without any headache of having to maintain the server. Review collected by and hosted on G2.com.

I would say cost for few people who wants to have a POC kindof project it is very easy and goto service like DynamoDB but because of Cost RDS is kindof neglected because using EC2 if we host postgre rds it would be much cheaper Review collected by and hosted on G2.com.