I recommend Amazon Aurora and rate it an eight out of ten. It is easy to set up and scale. We do not need engineers to manage it as it is a cloud solution. It has an automated backup feature. It has multi-layer deployments, high availability, and no chance of data loss. We can create a DDR with a single click.
EVP Technology at a consultancy with 51-200 employees
Real User
Top 5
2023-05-03T07:07:00Z
May 3, 2023
I would check you to check your use cases and the pain points you have with the current database and then recommend you make a benchmarking comparison. In case of any specific requirements, we can evaluate if Amazon Aurora is a good fit. Overall, I would rate the solution a seven out of ten because our objective was not fulfilled.
I would recommend it for enterprises or corporations, but not for small-scale use. I would recommend it in situations when stability and speed are important. For large data sets, not for medium or small data sets or volumes of data If you have a lot of data, you should probably go with Aurora. It is not something I would recommend to anybody else. It is not worth the price. In my previous company, we had a partnership with Amazon. I would rate Amazon Aurora a seven out of ten.
I would rate this solution 9 out of 10. For Postgre and MySQL, it is all quite good. However, it is a bit costlier. Given the features they have provided, it's okay, but for the smaller clients, they feel it is a bit too costly.
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A relational database is an intuitive database that stores and supplies access to various related data points. A relational database is based on the relational model where data is stored in tables in an intuitive and straightforward way, similar to an Excel spreadsheet. In this management system, tables are used to store complex data, which can be...
Overall, I would rate the solution an eight out of ten.
I recommend Amazon Aurora and rate it an eight out of ten. It is easy to set up and scale. We do not need engineers to manage it as it is a cloud solution. It has an automated backup feature. It has multi-layer deployments, high availability, and no chance of data loss. We can create a DDR with a single click.
I would check you to check your use cases and the pain points you have with the current database and then recommend you make a benchmarking comparison. In case of any specific requirements, we can evaluate if Amazon Aurora is a good fit. Overall, I would rate the solution a seven out of ten because our objective was not fulfilled.
I would rate the tool an eight out of ten. Aurora is plays well for us. I recommend this solution for zero downtime.
My advice to others who want to use this solution should go through the AWS foundation courses. I rate Amazon Aurora an eight out of ten.
I would recommend it for enterprises or corporations, but not for small-scale use. I would recommend it in situations when stability and speed are important. For large data sets, not for medium or small data sets or volumes of data If you have a lot of data, you should probably go with Aurora. It is not something I would recommend to anybody else. It is not worth the price. In my previous company, we had a partnership with Amazon. I would rate Amazon Aurora a seven out of ten.
I would rate this solution 9 out of 10. For Postgre and MySQL, it is all quite good. However, it is a bit costlier. Given the features they have provided, it's okay, but for the smaller clients, they feel it is a bit too costly.