Find out in this report how the two Database as a Service (DBaaS) solutions compare in terms of features, pricing, service and support, easy of deployment, and ROI.
Product | Market Share (%) |
---|---|
Microsoft Azure Cosmos DB | 3.4% |
TiDB Cloud | 0.1% |
Other | 96.5% |
Company Size | Count |
---|---|
Small Business | 31 |
Midsize Enterprise | 19 |
Large Enterprise | 55 |
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.
Unleash the power of AI-generated SQL and Serverless HTAP in a single cloud-native database. Experience real-time analytics and elastic scaling, all in a fully managed service.
Elastically and transparently scale to hundreds of nodes for critical workloads without changing business logic.
Use what you know about SQL – maintain your relational model and global ACID transactions while coping with your hybrid workloads at ease.
Equipped with built-in high performance analytics engine to analyze operational data without using an ETL.
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