is how it unifies data warehousing and big data into a single platform, making it easier to query and analyze large datasets efficiently. It integrates SQL for structured queries, Apache Spark for big data processing, and pipelines for seamless data ingestion and transformation. Review collected by and hosted on G2.com.

What I dislike about Azure Synapse Analytics is that the initial setup and configuration can be complex, often requiring extra expertise to get everything working smoothly. Debugging and monitoring can also feel limited, especially when managing large pipelines or Spark workloads. Review collected by and hosted on G2.com.