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Azure Synapse vs Azure Data Factory: A Comparison
Azure Data Factory moves and orchestrates data. Azure Synapse Analytics stores and analyses it, and happens to include a copy of Data Factory's pipeline engine. This guide compares what each can and cannot do, where the overlap is, how each is sized and billed, and the questions that decide which you need.
Azure Synapse Analytics Explained for Beginners
Azure Synapse Analytics puts a data warehouse, a query engine over the data lake, Spark and pipelines in one workspace. This guide explains each part in plain terms, shows with real data why the distribution of a table matters in a dedicated SQL pool, and sets out what Microsoft now says about Fabric.
Azure Synapse Pipelines vs Standalone ADF
Synapse pipelines are built on Azure Data Factory, so most of what you know transfers. The gaps are few and specific: integration runtime sharing, the SSIS runtime, global parameters, Power Query and how deployment works. This guide lists each documented difference, what it means in practice, and how to choose.
Loading Data into Synapse with ADF
Loading a Synapse SQL pool row by row is slow by design. This guide explains the three load methods the Azure Data Factory Copy activity offers, the COPY statement, PolyBase and bulk insert, when a load is direct and when it needs staging, the settings for each, upserts, and the documented limits.