Amazon DynamoDB and Microsoft Azure Cosmos DB compete in the cloud-based database services category. Cosmos DB has the upper hand due to its multi-model support and globally distributed capabilities, allowing for rich querying options and flexibility.
Features: DynamoDB offers flexibility with its NoSQL architecture, excellent scalability, and seamless AWS integration. Cosmos DB provides multi-model support with strong global distribution, flexible querying capabilities, and supports multiple APIs for versatility across applications.
Room for Improvement: DynamoDB could improve its interface, enhance documentation, and integrate better with external tools. Users cite challenges with manual encryption and limited querying capabilities. Cosmos DB could enhance performance for large data queries, simplify pricing models, and improve its user interface for management.
Ease of Deployment and Customer Service: Both are easy to deploy due to their operation on public clouds, simplifying scaling and infrastructure management. AWS support for DynamoDB is generally well-rated. Cosmos DB's technical support is good, though its solutions can be complex.
Pricing and ROI: DynamoDB follows a pay-as-you-go model, making it cost-effective for variable workloads, but costs can escalate with high usage. Cosmos DB, while more expensive, provides valuable features like global distribution and multi-model support, offering good ROI for businesses needing those functionalities.
AWS makes money from Amazon DynamoDB, and our involvement is more about professional services engagement.
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.
You can react quickly and trim down the specs, memory, RAM, storage size, etc. It can save about 20% of the costs.
When I have done comparisons or cost calculations, I have sometimes personally seen as much as 25% to 30% savings.
They follow up on support tickets until the issue is resolved.
Technical support is quite good, with a rating of eight out of ten.
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.
Scalability is the most valuable feature, and I rate it a ten out of ten.
Amazon DynamoDB is highly scalable.
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.
We have had no issues with its ability to search through large amounts of data.
I have not faced any issues with bugs or a breakdown in Amazon DynamoDB.
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.
The user interface could be improved to make it more intuitive.
We must ensure data security remains the top priority.
You have to monitor the Request Units.
The dashboard could include more detailed RU descriptions, IOPS, and compute metrics.
Amazon DynamoDB can be quite expensive due to regional differences, so I have to be careful with the pricing.
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.
Scalability has significantly enhanced data retrieval speeds.
Amazon DynamoDB is a fully managed NoSQL database known for its high performance and scalability.
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.
Amazon DynamoDB is a scalable NoSQL database valued for its speed and cost efficiency, adept in handling unstructured data and delivering fast data retrieval without predefined schemas.
Amazon DynamoDB is recognized for seamless integration with AWS services and its ability to accommodate large datasets. It provides powerful performance with automatic scaling, JSON document storage, and requires no external configurations. Users appreciate the predictable performance and ease of use, although the documentation lacks clarity, and local access necessitates third-party tools. Complex queries can be challenging due to limited API options. Desired improvements include better integration with other services and an enhanced interface. The cost structure and data storage limitations present challenges with improvements needed in backup, restore, caching, and query performance.
What are the standout features of Amazon DynamoDB?Amazon DynamoDB is implemented in industries for IoT data management, weather data storage, localization automation, and large stream indexing. It's utilized for user data management in web services and e-commerce, providing high-performance, scalable storage solutions. Companies benefit from serverless architecture, JSON storage, and integration with Lambda for optimized data handling.
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.
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