SQL Server 2019 Enterprise
Enterprise Edition of SQL Server 2019 is the ideal solution for applications requiring mission-critical in-memory performance, top-tier security, and high availability.
- Analyze Every Type of Data
- Choose Your Language and Platform
- Rely on Industry-Leading Performance
- Trust Nine Years of Proven Security Leadership
- Make Faster, Better Decisions
What is SQL Server 2019 Enterprise?
SQL Server 2019 Enterprise provides industry-leading performance and insights across all your data, both structured and unstructured. Now, SQL Server 2019 can serve as the hub for your entire data ecosystem, with the ability to query any database such as Oracle, MongoDB, Cassandra, and Hadoop in a highly secure and high-performance manner—all without moving or replicating the data.
With SQL Server 2019 Enterprise, you can access mission-critical capabilities to achieve unparalleled scale, security, high availability, and top performance for your Tier 1 databases, business intelligence, and advanced analytics workloads.
Why Choose SQL Server 2019 Enterprise?
- Increase Efficiency and Agility: Achieve greater efficiency and agility with a software-defined data center. Address operational and budgetary challenges by blending physical and virtual infrastructures through software-defined compute, storage, and networking technologies.
- Enhanced Performance and Availability: Run faster transactions with improved high availability and performance.
- In-Database Machine Learning: Utilize in-database machine learning with R and Python, and enjoy self-service reports and dashboards via Power BI Report Server and Mobile BI.
- Support for Multiple Environments: Run mission-critical workloads using Windows, Linux, and containers on-premises, in the cloud, or in hybrid environments.
- Big Data Integration: Integrate, manage, and analyze both relational and unstructured big data using data virtualization and big data clusters.
- Analytical Data Lake: Use Microsoft SQL Server 2019 big data clusters as an analytical data lake with built-in support for Hadoop Distributed File System (HDFS) and Spark.
- Machine Learning and Data Processing: Analyze and score large amounts of data with machine learning and processing platforms like Spark.
- Reduce ETL Needs: Decrease the necessity for Extract, Transform, and Load (ETL) applications by eliminating data movement.
- Scalable Performance for Machine Learning: Integrate and secure machine learning applications with scalable performance.
- Boost Performance without Changes: Reduce the need for application and query changes to enhance performance.
- Confidential Computing: Enhance data confidentiality through hardware enclaves.
- Increased Uptime and Availability: Improve application and database uptime and availability with features like Advanced Database Recovery (ADR).
- Extend T-SQL Power: Expand the capabilities of the T-SQL language in a secure and robust manner.
- Cross-Platform Compatibility: Run applications and deploy databases across multiple operating systems and platforms with compatibility.
- Safe Upgrades: Lower the risk of upgrades while using new SQL capabilities when ready through inbuilt database compatibility levels.
