In summary, Azure Cosmos DB offers a globally distributed, multi-model database service with flexible schemas and automatic scaling, making it suitable for applications with diverse data and global scale requirements. It integrates with various development frameworks, ORMs (Object-Relational Mappers), and third-party tools, making it versatile and adaptable to different environments. PostgreSQL, being an open-source RDBMS, has a large ecosystem and community support. It provides seamless integration with Azure Functions, Azure Logic Apps, and Azure Event Grid for event-driven architectures. PostgreSQL employs a robust SQL-based query language with advanced features like complex queries, joins, filtering, stored procedures, and user-defined functions for custom logic execution.Įcosystem and Integration: Azure Cosmos DB integrates well with other Azure services and tools, making it a natural choice for cloud-native applications built on the Azure platform. It also supports other APIs like MongoDB, Cassandra, Gremlin, and Table, enabling the use of familiar query languages. Querying Capabilities: Azure Cosmos DB offers a versatile querying experience with its SQL API, supporting flexible queries across different data models. ![]() In contrast, PostgreSQL requires manual configuration and is commonly used in smaller deployments, although it supports clustering and replication. Scalability: Azure Cosmos DB ensures effortless scalability for global distribution, allowing applications to handle massive scale with automatic data replication and horizontal partitioning. It enforces data consistency through the use of primary keys, foreign keys, and constraints. PostgreSQL, on the other hand, follows a rigid table-based data model where data is organized into tables with predefined schemas and column types. It provides a JSON-based document model for storing data, making it well-suited for unstructured or semi-structured data. It follows the ACID (Atomicity, Consistency, Isolation, Durability) principles and is primarily focused on structured data storage and querying.ĭata Model: Azure Cosmos DB offers a flexible schema-agnostic data model, allowing developers to store and query diverse data structures without upfront schema definitions. ![]() On the other hand, PostgreSQL is a relational database management system (RDBMS) based on a client-server architecture. Azure Cosmos DB supports various data models, including document, key-value, graph, and column-family. It is designed to provide high availability, low latency, and automatic scaling across multiple regions. Let's explore the key differences between the two in more detail:Īrchitecture: Azure Cosmos DB is a globally distributed, multi-model database service. Azure Cosmos DB is a globally distributed and scalable NoSQL DBMS and PostgreSQL is a mature open-source relational DBMS. "For 20 years after its introduction in 1979, the Walkman dominated the personal stereo market.Azure Cosmos DB vs PostgreSQL: What are the differences?Īzure Cosmos DB and PostgreSQL are both widely used database management systems (DBMS). "Invented originally for Guinness, plastic widgets are nitrogen-filled spheres.", "Thomas (Tommy) Flowers was the British engineer behind the design of the Colossus computer.", Title = "How It Works: Incredible History", For example, consider this entity type: public class Bookīoth the list and the dictionary can be populated and inserted into the database in the normal way: using var context = new BooksContext() Supported collections are all types that implement IReadOnlyList or IReadOnlyDictionary. Collections of primitive typesĬollections of supported primitive types, such as string and int, are discovered and mapped automatically. When necessary the default primary key for the owned entity types can be changed, but then key values should be provided explicitly. Public StreetAddress ShippingAddress )") In this example Order is a simple entity with a reference to the owned type StreetAddress. ![]() See Connecting and authenticating for different ways to connect to Azure Cosmos DB. The endpoint and key are hardcoded here for simplicity, but in a production app these should be stored securely.
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