Use visual data processing to label content, from objects to concepts, extract printed and handwritten text, recognize familiar subjects like brands and landmarks, and moderate content. ONNX is an open format built to represent machine learning models that facilitates maximum compatibility and increased inference performance. ML.NET is an open source and cross-platform machine learning framework for both machine learning & AI. The persisted changes can be processed asynchronously and incrementally, and the output can be distributed across one or more consumers for parallel processingĪ secure data cache and messaging broker that provides high throughput and low-latency access to data for applicationsĪI and machine learning Google Cloud serviceĪ cloud service to train, deploy, automate, and manage machine learning models. It then outputs the sorted list of documents that were changed in the order in which they were modified. Change feed support in Azure Cosmos DB works by listening to an Azure Cosmos container for any changes. Globally distributed, multi-model database that natively supports multiple data models: key-value, documents, graphs, and columnarĬhange feed in Azure Cosmos DB is a persistent record of changes to a container in the order they occur. Supporting flexible data schema and OData-based queries Store semi-structured data that's highly available. The Hyperscale (Citus) deployment option scales queries across multiple machines using sharding, to serve applications that require greater scale and performanceĪ highly scalable NoSQL key-value store for rapid development using massive semi-structured datasets.
Compute and storage can be scaled independentlyĪzure Database for PostgreSQL is a fully managed database-as-a-service based on the open-source Postgres relational database engine.
Supports multiple APIs: SQL, JavaScript, Gremlin, MongoDB, and Azure Table storage. Is multi-modal - key-value, graph, and document data). Horizontally scalable relational databaseĪ globally-distributed database system that limitlessly scales horizontally. Managed relational database service where resiliency, security, scale, and maintenance are primarily handled by the platform
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Marketplace Google Cloud serviceĮasy-to-deploy and automatically configured third-party applications, including single virtual machine or multiple virtual machine solutions.Īzure SQL Server Family Azure SQL DatabaseAzure SQL Managed InstanceSQL Server on Azure VM Azure SQL EdgeĪzure SQL family of SQL Server database engine products in the cloudAzure SQL Database is a fully managed platform as a service (PaaS) database engine Azure SQL Managed Instance is the intelligent, scalable cloud database service that combines the broadest SQL Server database engine compatibility with all the benefits of a fully managed and evergreen platform as a service SQL Server IaaS deployed on Azure Windows or Linux VM Azure SQL Edge is an optimized relational database engine geared for IoT and edge deploymentsĪzure Database for MySQL (Single & Flexible Server) Azure Database for PostgreSQL (Single & Flexible Server) Not every Google Cloud service or Azure service is listed, and not every matched service has exact feature-for-feature parity.įor an overview of Azure for Google Cloud users, see the introduction to Azure for Google Cloud Professionals. This article compares services that are roughly comparable. (Note that Google Cloud used to be called the Google Cloud Platform (GCP).) Whether you are planning a multi-cloud solution with Azure and Google Cloud, or migrating to Azure, you can compare the IT capabilities of Azure and Google Cloud services in all the technology categories. This article helps you understand how Microsoft Azure services compare to Google Cloud.
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