Security and compliance is the top priority when dealing with relational data.
SQL Server brings industry-leading performance, advanced analytics, and unparalleled availability.
Query across relational and non-relational data without movement or replication.
View interactive data analysis using BI tools and Power BI Report Server.
Now supporting Windows, Linux, and Docker containers. Native support for Java and Python.
In-memory optimization on operational data using HTAP.
Improved query scaling with Intelligent Query Processing and Automatic Plan Correction.
Integrate data from multiple sources – Oracle, MongoDB, and Teradata – all without moving your data. Enhanced security, performance, and scalability.
This new feature in SQL Server 2019 lets you work worry free and maximize efficiency without requiring technical details about the data, greatly reducing the need for ETL (extract, transform, load) processes.
Compatible with both relational data and CSV data.
Deploy scalable clusters of SQL Server, Spark, and HDFS containers running on Kubernetes.
Having these options side-by-side allows you to easily read, write, and process big data from T-SQL or Spark.
Combine high-value relational data with high-volume big data.
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