Microsoft Azure SQL Database and MongoDB Atlas compete in the database management systems category. Based on data comparisons, MongoDB Atlas has the upper hand in flexibility and scalability, while Microsoft Azure SQL Database excels in support and integration.
Features: Microsoft Azure SQL Database offers integration with the Microsoft ecosystem, advanced analytics, and seamless data migration. MongoDB Atlas provides flexibility in handling unstructured data, advanced querying capabilities, and high scalability.
Room for Improvement: Microsoft Azure SQL Database could improve its pricing model, enhance multi-cloud compatibility, and simplify multi-cloud scenarios. MongoDB Atlas users need better support options, more detailed documentation, and improved customer service.
Ease of Deployment and Customer Service: Microsoft Azure SQL Database offers comprehensive deployment models and extensive customer service, suited for enterprise projects. MongoDB Atlas provides a user-friendly deployment process, though users report mixed experiences with customer service.
Pricing and ROI: Microsoft Azure SQL Database has high setup costs but offers strong ROI through integration capabilities. MongoDB Atlas pricing is competitive, but some users question its value compared to costs.
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.
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.
I have used them sometimes, even recently, and found the feedback to be spot on our needs.
The features of MongoDB Atlas fall short, resulting in an average rating due to higher-expectation features still lacking in its offerings.
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.
MongoDB Atlas offers sharding as a scalability feature, although it does not perform as well as Oracle.
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.
When it comes to OLTP transactions, its performance declines.
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.
Enhancing capabilities for data pipelines and visualization dashboards.
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.
For our service, it was around 300 to 600 euros per month, which was acceptable for our customers.
The price of MongoDB Atlas is reasonable, which is why many organizations, including mine, are opting for it.
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.
I find MongoDB Atlas highly scalable and easy to use, with very good support.
It is particularly useful for unstructured and semi-structured data because of its performance in these areas.
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.
MongoDB Atlas offers a cloud-based database service known for speed, scalability, ease of use, and flexibility. Its robust features and advanced security measures support various business needs, making it ideal for unstructured data management.
MongoDB Atlas maximizes data handling capabilities by providing a seamless integration and high availability environment. The platform's schemaless architecture and rich query support make it suitable for complex data processing. With cloud-based infrastructure, deployment and maintenance are simplified, serving sectors such as healthcare, finance, and more. Organizations benefit from autoscaling, clustering, and APIs for effective project management. Continuous improvements in user experience, cost-effectiveness, query performance, and security are expected to meet evolving expectations.
What are the most important features?MongoDB Atlas is widely implemented in industries such as healthcare, finance, and technology. It serves applications requiring high availability and scalability, handling tasks from patient data management to real-time analytics. With its adaptable infrastructure, Atlas supports diverse use cases from IoT integration to transactional processing in cloud environments.
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