Amazon DynamoDB and Microsoft Azure Cosmos DB are both highly scalable, managed database services. That said, they differ significantly in functionality and user feedback aspects. Users appreciate DynamoDB for its seamless scalability and robust integration with AWS, though they note its pricing can be unpredictable and query capabilities limited. Cosmos DB is highlighted for its multi-model support and global distribution, enhancing flexibility and data access speed. However, criticisms include its complex pricing and steep learning curve.
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.
Available on AWS and Google Cloud in over 45 global cloud regions, deploy AuraDB in close proximity with your application in the region of your choice¹. AuraDB’s architecture ensures you can migrate to or across clouds seamlessly, and operate everywhere with consistency and performance. With AuraDB, you avoid cloud vendor lock-in with the freedom of choice.