MarkLogic and Microsoft Azure Cosmos DB are two robust database solutions that compete in the enterprise database market. Microsoft Azure Cosmos DB seems to have the upper hand due to its global distribution and multi-model capabilities.
Features: MarkLogic is praised for its powerful search and indexing, making it ideal for complex data integration. It offers JSON and XML support and provides ACID transactions. Microsoft Azure Cosmos DB is noted for scalability, support for multiple data models, and seamless integration with Azure services.
Room for Improvement: Users of MarkLogic often mention the need for better documentation, improved data migration tools, and a more intuitive interface. Microsoft Azure Cosmos DB users highlight the high cost, occasional latency issues, and a need for better cost management tools.
Ease of Deployment and Customer Service: MarkLogic's deployment is straightforward, but it has a steep learning curve. Customer service is responsive but could be more proactive. Microsoft Azure Cosmos DB's deployment is fast and integrates well with other Azure services, though configuration can be challenging. Customer service is effective but sometimes slow to respond.
Pricing and ROI: MarkLogic is considered cost-effective with a good ROI for enterprises needing advanced data handling. Microsoft Azure Cosmos DB, while more expensive, is seen as a worthwhile investment due to its performance and global reach.
Its scalability deserves a ten out of ten.
In cases where it has to automatically scale up to your maximum, that happens very quickly.
After migrating applications from an SQL database to Azure Cosmos DB, the change in the organization is massive.
The most valuable feature of Microsoft Azure Cosmos DB is its ability to handle concurrency and consistency.
While we don't utilize every feature, auto-scaling has been invaluable for optimizing both cost and performance on our platform daily.
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.
The first one is the ability to assign role-based access control through the Azure portal for accounts to have contributor rights.
Complex cross-partition querying, and BI/analytical tasks often necessitate moving data to other solutions like Fabric and Azure AI Search.
Microsoft Azure Cosmos DB is highly stable and built for stability and scalability.
The solution is very stable, and I cannot recall a time when Azure Cosmos DB let us down.
The response was quick.
I would rate customer service and support a nine out of ten.
Our experience with technical support has always been great.
With so many improvements to the platform and ways to optimize, in our big enterprise deployments, Microsoft Azure Cosmos DB tends to be one of the least expensive services even though it gets a lot of use.
Azure Cosmos DB is a fully managed NoSQL and vector database service built for AI-powered apps at any scale. It fuels apps with high-performance, distributed computing over massive volumes of NoSQL and vector data. Developers can start small and pay for only what they use with serverless computing, and enhance the solution seamlessly with unlimited dynamic autoscale, SLA-backed 99.999 percent availability and <10ms latency. Azure Cosmos DB lets developers build applications with the languages and frameworks of their choice, such as Python, Node.js, and Java. These unique benefits make Azure Cosmos DB a great fit for responsive, high-performance customer-facing apps that are secure and highly available. Some popular use cases for Azure Cosmos DB are AI assistants, real-time transactional applications, IoT and smart products, personalization and recommendations, as well as SaaS applications.
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