Merge pull request #273542 from wmwxwa/patch-20

Update introduction.md content on operational data use cases

Author: prmerger-automator[bot]

articles/cosmos-db/introduction.md

@@ -21,7 +21,7 @@ Today's applications are required to be highly responsive and always online. The
 
 The surge of AI-powered applications created another layer of complexity, because many of these applications integrate a multitude of data stores. For example, some organizations built applications that simultaneously connect to MongoDB, Postgres, Redis, and Gremlin. These databases differ in implementation workflow and operational performances, posing extra complexity for scaling applications.
 
-Azure Cosmos DB simplifies and expedites your application development by being the single database for your operational data needs, from caching to backup to vector search. It provides the data infrastructure for modern applications like AI, digital commerce, Internet of Things, and booking management. It can accommodate all your operational data models, including relational, document, vector, key-value, graph, and table.
+Azure Cosmos DB simplifies and expedites your application development by being the single database for your operational data needs, from [caching](https://medium.com/@marcodesanctis2/using-azure-cosmos-db-as-your-persistent-geo-replicated-distributed-cache-b381ad80f8a0) to backup to [vector indexing and search](vector-database.md). It provides the data infrastructure for modern applications like AI, digital commerce, Internet of Things, and booking management. It can accommodate all your operational data models, including relational, document, vector, key-value, graph, and table.
 
 ## An AI database providing industry-leading capabilities...
 
@@ -57,6 +57,19 @@ When you decide that Azure Cosmos DB is right for you, you can receive up to 63%
 
 Besides AI, Azure Cosmos DB should also be your goto database for a variety of use cases, including [retail and marketing](use-cases.md#retail-and-marketing), [IoT and telematics](use-cases.md#iot-and-telematics), [gaming](use-cases.md#gaming), [social](social-media-apps.md), and [personalization](use-cases.md#personalization), among others. Azure Cosmos DB is well positioned for solutions that handle massive amounts of data, reads, and writes at a global scale with near-real response times. Azure Cosmos DB's guaranteed high availability, high throughput, low latency, and tunable consistency are huge advantages when building these types of applications.
 
+##### For what kinds of apps is Azure Cosmos DB a good fit?
+
+- **Flexible Schema for Iterative Development.** For example, apps wanting to adopt flexible modern DevOps practices and accelerate feature deployment timelines.
+- **Latency sensitive workloads.** For example, real-time Personalization.
+- **Highly elastic workloads.** For example, concert booking platform.
+- **High throughput workloads.** For example, IoT device state/telemetry.
+- **Highly available mission critical workloads.** For example, customer-facing Web Apps.
+
+##### For what kinds of apps is Azure Cosmos DB a poor fit?
+
+- **Analytical workloads (OLAP).** For example, interactive, streaming, and batch analytics to enable Data Scientist / Data Analyst scenarios. Consider Microsoft Fabric instead.
+- **Highly relational apps.** For example, white-label CRM applications. Consider Azure SQL, Azure Database for MySQL, or Azure Database for PostgreSQL instead.
+
 ## ...with unmatched reliability and flexibility
 
 ### Guaranteed speed at any scale