Microsoft Azure Cosmos DB is preferred over Amazon DynamoDB for its multi-model capabilities, which provide operational flexibility by supporting various database types within a single service. This key feature, coupled with automatic scalability, efficient global distribution settings, and integrated backups, significantly enhances user experience by accommodating diverse needs and promoting easier data management without manual intervention. DynamoDB is very robust and scalable, yet faces challenges with cost predictability and flexibility in querying.
Amazon DocumentDB (with MongoDB compatibility) is a fast, scalable, highly available, and fully managed document database service that supports MongoDB workloads.
Amazon Neptune is a fast, reliable, fully managed graph database service that makes it easy to build and run applications that work with highly connected datasets. The core of Amazon Neptune is a purpose-built, high-performance graph database engine optimized for storing billions of relationships and querying the graph with milliseconds latency. Amazon Neptune supports popular graph models Property Graph and W3C's RDF, and their respective query languages Apache TinkerPop Gremlin and SPARQL, allowing you to easily build queries that efficiently navigate highly connected datasets. Neptune powers graph use cases such as recommendation engines, fraud detection, knowledge graphs, drug discovery, and network security.
Microsoft Azure and Amazon AWS are on par for pricing and Google has been raising its prices.
Microsoft Azure and Amazon AWS are on par for pricing and Google has been raising its prices.
Cloud Bigtable is Google's NoSQL Big Data database service. It's the same database that powers many core Google services, including Search, Analytics, Maps, and Gmail.
Amazon Timestream is a purpose-built time series database service for collecting, storing, and processing time-series data such as server and network logs, sensor data, and industrial telemetry data for IoT and operational applications. Amazon Timestream processes trillions of events per day at one-tenth the cost of relational databases, with up to one thousand times faster query performance than a general-purpose database.
A scale-out, low latency key-value database service including support for JSON and Table data types. Built-in high availability, transactions, parallel query, and more.
Neo4j AuraDB is preferred due to its faster deployment, streamlined setup, and ease of handling complex queries, making it more efficient and user-friendly than Microsoft Azure Cosmos DB.
