Find out what your peers are saying about Amazon Web Services (AWS), Microsoft, MongoDB and others in Database as a Service (DBaaS).
The documentation is quite good.
The customer support is hard to reach, with Microsoft’s technical support being difficult to get in touch with.
Simplifying migration for those transitioning from on-premises to cloud environments.
I could not get an accurate quote on what my monthly costs would be based on my needs.
Its automated scaling, both in storage and instances, is vital as it eliminates manual interventions.
Scaling the solution is incredibly simple and involves just clicking a button or dragging a slider.
While Azure provides great services, long-term plans on AWS are 20% to 30% cheaper.
I find the pricing of Amazon RDS fair, as AWS operates on a pay-for-what-you-use model.
I rate the price for Amazon as eight on a scale from one to ten.
While the pricing of Microsoft Azure SQL Database is good, obtaining an estimate of monthly costs based on specific needs was challenging.
Amazon RDS is very stable when deployed correctly across different zones with the right configurations.
Amazon RDS provides data encryption using services like KMS, crucial for securing high-sensitive data and meeting compliance requirements such as HIPAA or PCI DSS.
Amazon RDS makes it easier for me to manage databases compared to traditional databases like MongoDB or local host servers.
Amazon RDS fulfills PCI requirements, which is a valuable feature for us.
Some of the best features of Microsoft Azure SQL Database are its scalability, pricing, and ease of setup.
Amazon Relational Database Service (Amazon RDS) is a web service that makes it easier to set up, operate, and scale a relational database in the cloud. It provides cost-efficient, resizeable capacity for an industry-standard relational database and manages common database administration tasks.
Cloud Spanner is the first and only relational database service that is both strongly consistent and horizontally scalable. With Cloud Spanner you enjoy all the traditional benefits of a relational database: ACID transactions, relational schemas (and schema changes without downtime), SQL queries, high performance, and high availability. But unlike any other relational database service, Cloud Spanner scales horizontally, to hundreds or thousands of servers, so it can handle the highest of transactional workloads. With automatic scaling, synchronous data replication, and node redundancy, Cloud Spanner delivers up to 99.999% (five 9s) of availability for your mission critical applications. In fact, Google’s internal Spanner service has been handling millions of queries per second from many Google services for years.
Microsoft Azure SQL Database is a relational database-as-a-service that delivers predictable performance, scalability, business continuity, data protection, and near-zero administration to cloud developers and solution architects. This is the deep technical library for Azure SQL Database.