Find out what your peers are saying about Amazon Web Services (AWS), Microsoft, MongoDB and others in Database as a Service (DBaaS).
It is ensuring we receive what we pay for through the blend of price, performance, and features.
If you're managing your own data center, you always have to overprovision your systems and pay for storage space you're not using.
We've reduced costs by about 20 percent after two or three years.
In Bangladesh, digital banking is becoming prominent within a couple of years, so all banking systems will be digital.
The documentation is quite good.
The official AWS technical support for Amazon RDS is helpful, providing 24/7 assistance for all business support cases with tools such as the health dashboard and AWS trusted advisor.
I would rate the support from AWS very high, maybe nine, but it also depends on what kind of support you have signed in your contract, whether the premium support or the standard support.
Microsoft played a significant role, even from a training perspective, and provided resources that directed us toward the right deployment path.
Once I reach the right people, the support is incredibly knowledgeable and thorough.
Microsoft provides excellent service and is always available to support us.
Oracle provides expert support globally, not just in South Asia -- also in Europe and America.
Its automated scaling, both in storage and instances, is vital as it eliminates manual interventions.
The installation of Amazon RDS is quite easy and quite scalable.
Despite being a strong feature, scalability could be improved due to the lack of full functionality in autoscaling.
Scaling the solution is incredibly simple and involves just clicking a button or dragging a slider.
Azure's scalability features like Elasticity are essential.
Microsoft Azure SQL Database is cloud-based, so it's great for scaling workloads.
Amazon RDS is very stable when deployed correctly across different zones with the right configurations.
It is a stable product overall, with very few issues.
Amazon RDS is quite stable, and the SLAs are sort of 99.98%.
We can't tell the difference between running on-prem or Azure because we no longer have those latency issues.
SQL never crashes or suddenly becomes unavailable.
Therefore, it is preferable to provision an instance local to the connection point to optimize performance and minimize latency.
The solution is stable, resilient, and doesn't crash under pressure.
Simplifying migration for those transitioning from on-premises to cloud environments.
Having native Change Data Capture (CDC) support would be beneficial, allowing for seamless integration with Kafka without relying on external technologies like Debezium.
Enabling performance insights to view query formats where the bottlenecks occur, identifying the fixes, slow queries, and missing indexes.
It would be helpful if CPU performance were not pinned to the amount of storage you're using, and we could scale different properties of the Azure SQL database independently.
I could not get an accurate quote on what my monthly costs would be based on my needs.
To overcome this, we collaborated with the network team to develop alternative solutions.
With the advent of generative AI, adding functionality where current administrative activities could be automated would be beneficial.
It would be beneficial if Oracle could offer features similar to those provided by open-source platforms like Postgres, such as a multi-core-based platform and a shared node database.
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.
Azure Hybrid Benefit reduced costs by facilitating an easy transition of on-premises databases to the cloud.
Microsoft Azure SQL Database is not cheap.
It greatly reduces the total cost of ownership through efficient licensing depending on the client, the cost savings, and hybrid benefits.
Prices are high.
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.
Database management is effective in Amazon RDS because it offers automated backups, high availability, read replicas, and support from multiple database engineers, while also providing security, monitoring and metrics, scalability.
In some cases, we are using the read replica feature, and it does improve our application performance because we do not allow any downstream system to come to the main storage or main databases and perform a query.
The simplicity in usability, along with improved organizational productivity where we no longer need to maintain on-premises SQL servers, is invaluable.
The Software as a Service model is more effective and easier to access in terms of security, as Azure provides security at the security layer, reducing the risk of breach.
Some of the best features of Microsoft Azure SQL Database are its scalability, pricing, and ease of setup.
The encryption level, resilience, and secure features from both clients, particularly the resilience aspect of Oracle Database, are highly valuable.
The valuable features include availability, agility, and scalability.
Product | Market Share (%) |
---|---|
Amazon RDS | 19.1% |
Microsoft Azure SQL Database | 13.0% |
Oracle Database as a Service | 7.8% |
Other | 60.1% |
Company Size | Count |
---|---|
Small Business | 22 |
Midsize Enterprise | 14 |
Large Enterprise | 23 |
Company Size | Count |
---|---|
Small Business | 55 |
Midsize Enterprise | 15 |
Large Enterprise | 50 |
Company Size | Count |
---|---|
Small Business | 22 |
Midsize Enterprise | 18 |
Large Enterprise | 31 |
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.
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.
Oracle Database Cloud Service combines the power of Oracle Database, with the unique capabilities of the Oracle Cloud. The service provides a secure, automated data management platform that leverages on demand Oracle Cloud Infrastructure services via a simple web based user interface and RESTful API. Oracle Database Cloud Service provides elastic database services for development, test, and production environments of custom and packaged online transaction processing (OLTP), data warehousing, and mixed workload applications. It enables businesses to reap all Oracle Platform as a Service (PaaS) benefits including subscriptionbased, self-service access to reliable, scalable, and elastic cloud environments and accelerates time to value by simplifying the provisioning and administration of Oracle databases.