Which Azure service would be most appropriate for a data integration solution?

Azure Data Factory is the most appropriate choice for a data integration solution because it is specifically designed for orchestrating data movement and transformation across a variety of data sources and destinations. Azure Data Factory allows you to create, schedule, and manage data pipelines that can ingest data from on-premises and cloud sources and transform it using various data processing activities.

It supports a wide range of integration scenarios, including data ingestion, data preparation, and data orchestration, making it a suitable fit for ETL (Extract, Transform, Load) and ELT (Extract, Load, Transform) processes.

Azure Synapse Analytics, while also a powerful service for data analytics and big data solutions, is more focused on analytics integration and providing a unified experience between data integration, big data, and data warehousing. It is not exclusively aimed at data integration like Azure Data Factory.

Azure Databricks is mainly a unified analytics platform that specializes in big data processing and machine learning, focusing on data science and collaborative work rather than broad data integration tasks.

Azure Cosmos DB is a globally distributed database service designed for high availability and low latency but does not provide the capabilities required specifically for data integration processes.

Thus, Azure Data Factory stands out as the best solution for data integration,