Microsoft Azure SQL Database and Azure Cosmos DB compete in cloud database management. While both offer robust features, Azure Cosmos DB appears to have the upper hand in scalability and latency performance, targeting complex transaction-heavy workloads.
Features: Microsoft Azure SQL Database offers scalable and geographically replicated solutions with high availability. It features elastic scaling and seamless integration with Azure services, making deployment straightforward. Users also appreciate its security and reliability. Azure Cosmos DB emphasizes scalability and low latency, supporting multiple data models. Its global distribution capabilities ensure high availability, valuable for varied use cases.
Room for Improvement: Microsoft Azure SQL Database could advance in security features, documentation, and pricing transparency. It would benefit from improved automation and scaling capabilities. Azure Cosmos DB requires better cost management and third-party integration. Users seek improved analytics capacities and user interface enhancements for easier adoption.
Ease of Deployment and Customer Service: Both databases support public cloud deployment effectively. SQL Database also provides on-premises and hybrid cloud options. Its customer service is praised for efficiency but can have variable response times. Cosmos DB's support is slightly slower but benefits from Microsoft's extensive online resources.
Pricing and ROI: Microsoft Azure SQL Database offers flexible pay-as-you-go pricing, though costs may increase with usage. It delivers good ROI by reducing infrastructure costs. Azure Cosmos DB's pricing is based on request units, which can complicate cost prediction. However, its scalability and performance often justify expenses for large-scale implementations. Both solutions enhance ROI by minimizing on-premises infrastructure costs.
Getting an MVP of that project would have taken six to eight months, but because we had an active choice of using Azure Cosmos DB and other related cloud-native services of Azure, we were able to get to an MVP stage in a matter of weeks, which is six weeks.
When I have done comparisons or cost calculations, I have sometimes personally seen as much as 25% to 30% savings.
It's an excellent option for NoSQL or semi-structured data because our agreements start as a morass of raw data from PDF, OCR PDF, or paper OCR scans.
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.
Premier Support has deteriorated compared to what it used to be, especially for small to medium-sized customers like ours.
The response was quick.
I would rate customer service and support a nine out of ten.
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.
The system scales up capacity when needed and scales down when not in use, preventing unnecessary expenses.
We like that it can auto-scale to demand, ensuring we only pay for what we use.
Its scalability deserves a ten out of ten.
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.
We have multiple availability zones, so nothing goes down.
Azure Cosmos DB would be a good choice if you have to deploy your application in a limited time frame and you want to auto-scale the database across different applications.
I would rate it a ten out of ten in terms of availability and latency.
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.
We must ensure data security remains the top priority.
The first one is the ability to assign role-based access control through the Azure portal for accounts to have contributor rights.
SQL Server is very portable. You can even install it on your machine. That is the number one thing that is missing in Azure Cosmos DB.
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.
Initially, it seemed like an expensive way to manage a NoSQL data store, but so many improvements that have been made to the platform have made it cost-effective.
Cosmos DB is expensive, and the RU-based pricing model is confusing.
Cosmos DB is great compared to other databases because we can reduce the cost while doing the same things.
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.
The most valuable feature of Microsoft Azure Cosmos DB is its real-time analytics capabilities, which allow for turnaround times in milliseconds.
Performance and security are valuable features, particularly when using Cosmos DB for MongoDB emulation and NoSQL.
The performance and scaling capabilities of Cosmos DB are excellent, allowing it to handle large workloads compared to other services such as Azure AI Search.
The simplicity in usability, along with improved organizational productivity where we no longer need to maintain on-premises SQL servers, is invaluable.
Some of the best features of Microsoft Azure SQL Database are its scalability, pricing, and ease of setup.
Azure SQL helps in reducing the company's total cost of ownership because we don't have to manage on-premises infrastructure.
Microsoft Azure Cosmos DB is a globally distributed, multi-model database service providing scalability, user-friendliness, and seamless integration, suitable for managing large volumes of structured and unstructured data across diverse applications.
Azure Cosmos DB is renowned for its scalability, stability, and ease of integration, offering robust support for multiple data models and APIs. Its capacity for handling unstructured data efficiently and providing real-time analytics makes it ideal for applications requiring high performance and global distribution. With features like automatic failover and integration with Microsoft products, users benefit from cost optimization and secure data handling. Enhancement opportunities include simplifying queries, improving documentation, and expanding backup and analytics functionalities.
What are the most important features of Microsoft Azure Cosmos DB?Azure Cosmos DB is frequently used in sectors like web, mobile, IoT, and analytics. It supports applications as a key-value store, processes real-time data, and enables global scalability with low-latency access. Its big data management capabilities and integration with Azure services enhance its utility across industries.
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.
We monitor all Database as a Service (DBaaS) reviews to prevent fraudulent reviews and keep review quality high. We do not post reviews by company employees or direct competitors. We validate each review for authenticity via cross-reference with LinkedIn, and personal follow-up with the reviewer when necessary.