SQL Server 2019 Standard Improves uptime, speed up failover, and reduce costs with cloud disaster recovery replicas and Always On availability groups. This ensures quick and consistent database recovery, no matter the transaction load. Big Data Clusters combine SQL Server, Spark, and HDFS containers on Kubernetes, allowing seamless processing of big data with Transact-SQL or Spark. This integration simplifies the analysis of relational data alongside large datasets.
- Use data virtualization to combine and query a variety of external relational and non-relational data sources without moving or replicating data.
- Build an intelligence-driven organization by leveraging machine learning and AI to ingest, store, and analyze any type of data, structured or unstructured, with the power of SQL Server, Hadoop and Spark in SQL Server 2019 Big Data Clusters.
SQL Server now on Windows, Linux, Containers and support for Kubernetes. Deploy on multiple Linux distributions including RedHat, SUSE and Ubuntu with full database engine support for transactional replication, distributed transactions, PolyBase, and Machine Learning Services.
Develop once and deploy anywhere with a consistent experience from on-premises to the edge and cloud.
Industry-leading performance - Make your queries and applications run faster with the Intelligent Query Processing family of features in SQL Server 2019.
- Speed up performance with in-memory technologies such as memory optimized tables, Hybrid Buffer Pool, and memory-optimized TempDB.
- Build Hybrid Transactional and Analytical Processing (HTAP) solutions by adding in-memory Clustered Columnstore Indexes on your in-memory tables.
| Mission critical security - Create, deploy, and manage mobile and paginated reports with rich visualizations in SQL Server Reporting Services.
- Discover, track, and remediate potential database vulnerabilities with SQL Vulnerability Assessment.
- Build for security from the ground up with layers of protection and security features built-in to all versions of SQL Server 2019.
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