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Apply intelligence across all your data with SQL Server 2019
Whether your data is structured or unstructured, query and analyse it using the data platform with industry-leading performance and security.
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Real-time SQL solutions for IoT edge with Azure SQL Edge
Now available! Extend SQL apps and modules to IoT servers, gateways and devices with Azure SQL Edge. Stream, store and analyse data while it is in motion or at rest, whether online of offline.
What you’ll love about SQL Server 2019
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Analyse every type of data
Gain insights from all your data by querying across relational, non-relational, structured and unstructured data, for a complete picture of your business using SQL Server 2019 with Apache Spark built in.
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Choose your language and platform
Get the flexibility to use the language and platform of your choice with open source support. Run SQL Server on Linux containers with Kubernetes support or on Windows.
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Rely on industry-leading performance
Take advantage of breakthrough scalability and performance to improve the stability and response time of your database – without making app changes. Get high availability for mission-critical applications, data warehouses and data lakes.
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Trust nine years of proven security leadership
Achieve your security and compliance goals using the database rated as least vulnerable over the last nine years. Stay a step ahead using built-in features for data classification, data protection and monitoring and alerts [1].
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Make faster, better decisions
Turn data into answers by using the enterprise reporting capabilities of SQL Server Reporting Services along with the included Power BI Report Server, which gives your users access to rich, interactive Power BI reports on any device.
Get to know Azure SQL, the family of SQL cloud databases
Benefit from a consistent, unified experience across your entire SQL portfolio and a full range of deployment options from edge to cloud. The Azure SQL family of SQL cloud databases provides flexible options for app migration, modernisation and development.
Query all data types with SQL Server 2019 Big Data Clusters
Manage your big data environment more easily with Big Data Clusters. They provide key elements of a data lake – Hadoop Distributed File System (HDFS), Apache Spark and analytics tools – deeply integrated with SQL Server and fully supported by Microsoft. Easily deploy your database using Linux containers on a Kubernetes cluster.
Featured SQL Server resources
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Introducing SQL Server 2019
Learn how to modernise your on-premises databases with this free Packt eBook.
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Professional Azure SQL Managed Database Administration
Take an in-depth look at Azure SQL Database and Azure SQL Managed Instance – and see how to use your existing SQL Server skills to get started with your on-premises migration.
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The Essential Guide to Data in the Cloud
Discover the cloud database technologies available in Azure.
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SQL Server on Azure Virtual Machines data sheet
Learn about the manageability, security and price-performance benefits of running SQL Server on Azure Virtual Machines.
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Technical white paper on new performance benchmark for Big Data Clusters
Take an in-depth look at the newly published benchmark on Microsoft SQL Server 2019 Big Data Clusters that brings the ultimate performance for your Big Data workloads.
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SQL Server 2019 technical white paper
Learn how to enhance the security, performance and availability of your data workloads.
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Growing SQL Server
Explore the evolution of SQL Server and the features of different versions with this infographic.
“As early adopters of SQL Server 2019, we are really pleased with the performance and results we achieved from using the new SQL Server features. The intelligent query processing feature has increased the speed and processing power of our business.”
Edilson Andrade de Albuquerque, Manager of Database Team, Itaú-Unibanco
"Our customers trust us to protect not only their property but also their private information. With the Secure Enclaves enhancement of Always Encrypted in SQL Server 2019, we can now enforce highly restricted, client-application-based access to our customers’ most sensitive data without inhibiting our real-world data handling and analysis requirements.”
Victoria Silversmith, Technical Design Authority – Data, Hiscox
“With SQL Server 2019 Big Data Clusters, we can solve for on-demand big data experiments. We can analyse cancer research data coming from dozens of different data sources, mine interesting graph features and carry out analysis at scale.”
Pieter Derdeyn, Knowledge Engineer, Systems Imagination
“We consolidated several businesses under a single ERP platform – this time with SQL Server 2019. Despite a 400% increase in processed documents over the past five years, we’re on top of that growth. We get a lot from SQL Server – reliability, scalability, integration and agility."
Ilya Tambovtsev, CIO Senior IT Operation Eastern Europe Director, Baltika Breweries, part of the Carlsberg Group
“With SQL Server 2019 Big Data Clusters, we are able to analyse our relational data in the unified data platform, leveraging Spark, HDFS and enhanced machine learning capabilities, all while remaining compliant. Our analysts and expert users can continue to interact with the core data using the tools and languages they are comfortable with.”
George Bayliffe, Head of Data, Dr. Foster
SQL Server 2019 Big Data Clusters on Workloads running on Apache Spark
SQL Server 2019 Big Data Clusters on Red Hat OpenShift Container Platform and HPE Synergy
SQL Server 2019 Big Data Clusters on Dell EMC PowerStore
SQL Server 2019 Big Data Clusters on Solutions using Dell EMC Infrastructure
SQL Server 2019 Big Data Clusters on Cisco UCS Reference Architecture
SQL Server 2019 Big Data Clusters on Lenovo Big Data Configuration
Move from Oracle and other database platforms to SQL Server 2019 and get free licences
Bring your Oracle, IBM Db2, Sybase ASE or Netezza databases over to Microsoft SQL Server 2019 and get free licences as part of this offer. [2]
[1] National Institute of Standards and Technology Comprehensive Vulnerability Database
[2] Software Assurance subscription required.
