Azure Synapse wins. But for those needing more robust ELT (extract, load, transform), data science, and machine learning features, Databricks is the winner. Synapse’s reliance on SQL and Azure ...

Azure Synapse is better set up for users that just want to deploy a good data warehouse and analytics tool rapidly without being bogged down by configurations, data science minutia, or manual setup.

extract data from the Azure Synapse Data Warehouse using the Neo4j data warehouse connector, run graph data science algorithms from Synapse data science notebooks and build interactive dashboards ...

Support for links to Azure Synapse breaks down the barriers between operational and analytical data, ensuring that both Cosmos DB’s developer and data science audiences get the most from their data.

For example, when a Synapse cluster is provisioned, ADLS capacity -- which can store Spark SQL tables -- is requisitioned along with it (as is Azure Data Factory). Spark SQL tables are immediately ...

A stronger Azure Data Explorer should make for a stronger Synapse Analytics, a stronger Azure Machine Learning, a stronger HDInsight and a more valuable Azure Data Lake Storage layer. Stronger ...

Azure Synapse Analytics, which Microsoft describes as “the next evolution of Azure SQL Data Warehouse.” Like SQL Data Warehouse, it aims to bridge the gap between data warehouses and data ...

Microsoft today unveiled Azure Purview, a new data governance solution in public preview. Additionally, the company announced that Azure Synapse Analytics is now generally available. Azure Purview ...

The company also announced general availability for the Azure Synapse data warehousing and analytics service. Microsoft on Thursday unveiled a “unified data governance service” as part of its ...

Enterprises that use Azure Synapse to merge insights from data warehouses and data lakes need a data transformation solution that can pull in data from a variety of sources, and transform it to ...