Cloudera Distribution for Hadoop and Microsoft Azure Cosmos DB compete in the big data and cloud database sectors. Microsoft Azure Cosmos DB has the upper hand due to its seamless cloud integration and global distribution capabilities.
Features: Cloudera Distribution for Hadoop includes Cloudera Manager, offering ease of administration and robust querying with Impala. It effectively handles huge data sizes and provides strong community support. Microsoft Azure Cosmos DB is known for its global distribution, scalable architecture, and compatibility with multiple APIs. It simplifies scaling and supports real-time analytics, making it suitable for diverse application needs.
Room for Improvement: Cloudera could enhance its installation process and support for more programming languages. Users also desire better training resources and find the pricing high. Microsoft Azure Cosmos DB faces challenges with its complex pricing model and needs improvements in stability and data integration, as well as better documentation and support for more data formats.
Ease of Deployment and Customer Service: Cloudera is flexible for on-premises and hybrid deployments but requires technical resources for integration. Customer service feedback is mixed, with some users praising support and others seeking improvement. Microsoft Azure Cosmos DB offers straightforward cloud-based deployment. Users generally rate Microsoft’s support services positively, though complex scenarios may require more specialized guidance.
Pricing and ROI: Cloudera is considered expensive, with high licensing costs as data needs grow. Despite this, it offers substantial investment return potentials. Microsoft Azure Cosmos DB employs a pay-as-you-go pricing model, which is flexible but can become costly with data scale if not managed properly. Its scalability and performance justify the pricing for many, though the complexity of its pricing model poses challenges for users aiming for cost efficiency.
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.
The technical support is quite good and better than IBM.
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.
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.
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.
Integrating with Active Directory, managing security, and configuration are the main concerns.
We must ensure data security remains the top priority.
You have to monitor the Request Units.
The first one is the ability to assign role-based access control through the Azure portal for accounts to have contributor rights.
It can be deployed on-premises, unlike competitors' cloud-only 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.
This is the only solution that is possible to install on-premise.
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.
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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