SQL Server 2019 is an advanced, self-hosted version of Microsoft's primary database engine. The marquee enhancement is the integration of Microsoft SQL Server 2019 with the Spark analytics engine, Hadoop Distributed File System, and other Linux-based big data components to support Big Data Clusters. The Big Data Cluster enables data-intensive machine learning operations on the high-volume data resident in HDFS and SQL Server storage pools. You can deploy Big Data Clusters as containers in locally hosted Kubernetes clusters, like AKS on Azure Stack, or in any cloud with a managed Kubernetes service like Azure AKS.
SQL 2019 also includes improvements in the fundamental SQL database engine like feature parity for Linux machines. Other significant innovations improve SQL Server Analysis Services and SQL Server Reporting Services (SSRS).
Since SQL Server 2008 and SQL Server 2008 R2 have arrived at EOS status, moving to a current version of SQL Server is a priority for organizations concerned about compliance, manageability, and productivity. Progent has two decades of background designing, deploying, managing, and troubleshooting SQL Server solutions and can assist organizations of any size to carry out an efficient migration to Microsoft SQL Server 2019. Progent's Microsoft-certified Microsoft SQL Server consultants can help your organization to evaluate the advantages for transitioning to Microsoft SQL Server 2019 from a legacy release of SQL Server and Progent offers fast remote or on-premises access to top-tier consultants in system design, application development, DBA services, and cybersecurity. Progent can assist you to deploy Microsoft SQL Server 2019 locally, in a private or public cloud, or in a hybrid on-prem/cloud network model.
You can work with Progent's consultants on an occasional basis for tasks like design review or debugging or you can get end-to-end project management and co-management support to ensure your Microsoft SQL Server 2019 initiative is successfully carried out on schedule and within budget. Progent offers the help of certified information security consultants, disaster recovery planning consultants, and database application designers and programmers to make sure your SQL Server 2019 deployment delivers top return on investment.
Progent's Microsoft-certified consulting experts can also help you to configure SQL Server 2019 to work with other Microsoft apps and services by providing expertise that includes Microsoft Windows Server 2019 integration consulting, Hyper-V configuration consulting, Exchange Server 2019 solution design expertise, SharePoint 2019 development consulting, hybrid integration with Azure cloud services, Microsoft Skype for Business integration consulting, Dynamics GP/Great Plains custom reporting consulting, and System Center Operations Manager experts.
Progent's veteran software programmers can help you to plan, produce, validate, deploy, and troubleshoot apps that use Microsoft SQL Server 2019 databases and Progent offers guidance in data modeling, (Online Transaction Processing, Data Warehousing and Mining, ETL, tuning, availability, backup/restore, analytics, and integration support for Amazon Marketplace Web Service. To learn more about Progent's SQL Server programming and troubleshooting services, visit SQL Server application programming services.
SQL Server 2019 Editions
SQL Server 2019 is available in five basic editions distinguished by price, performance, scale and licensing rules. Progent can help you decide which editions make sense for your needs, and Progent can also help you simplify license management.
Microsoft SQL Server 2019 Enterprise is the top-of-the-line edition of Microsoft SQL Server 2019 and is intended for critical applications requiring the highest advanced levels of capacity, availability, and performance. Processing power and memory supported per database are bound only by the OS maximum, the amount of VMs supported is unlimited, and database size can be as high as 524 PB. High availability features offered only on the Enterprise version of Microsoft SQL Server 2019 include Always On availability groups, online page restore, online index rebuild, suspend and resume online index rebuilds, fast recovery, and live add memory and compute. Expandability and performance functions for the Enterprise edition of SQL Server 2019 include in-memory database, partitioned table parallelism, automatic optimization, read ahead plus memory grant feedback. The Enterprise version of Microsoft SQL Server 2019 also supports a richer collection of data warehousing services, Master Data Services and Reporting Services than other versions.
Microsoft SQL Server 2019 Developer edition is essentially identical to the Enterprise version, but is licensed for use exclusively for development and validation. The Developerversion is not licensed for use as a production system. SQL Server 2019 Developer handles only one client for SQL Server Distributed Replay.
SQL Server 2019 Standard version is intended for departments and small organizations who need an entry-level, low-overhead solution for information management and business intelligence. SQL Server 2019 Standard version supports all the cybersecurity functions of SQL Server 2019 Enterprise, but CPU capacity is restricted to the smaller of 4 sockets or two dozen cores. For each instance of SQL Server Database Engine, maximum RAM for buffer pool is 128 GB, and max RAM-optimized data size is 32 GB. Unlike the Enterprise edition, the Standard edition of Microsoft SQL Server 2019 does not come with advanced R and Python integration and does not include Machine Learning Services, but supports the other programmability functions and the management utilities the come with the Enterprise edition. Advanced functions such as transparent data encryption and Big Data Clusters are provided with the Standard version.
SQL Server 2019 Web version is an inexpensive package designed for web hosting organizations. CPU capacity is limited to the lesser of 4 sockets or 16 cores, maximum buffer pool memory is 64 MB, and maximum RAM is 64 GB. In contrast to the Standard version of Microsoft SQL Server 2019, SQL Server 2019 Web version does not include Always On failover cluster instances, hybrid backup, or accelerated database recovery. The Web edition also does not support transparent database encryption. You can profile Microsoft SQL Server Web by using SQL Server Enterprise or SQL Server Standard versions, and SQL Server Web comes with the other management utilities provided with the Standard version. Analysis Services, tabular and multidimensional models, Business Intelligence Services, and certain Reporting Services are not included.
SQL Server 2019 Express, available in a few releases, is a no-cost entry-level version of Microsoft SQL Server intended for learning or for developing desktop, bare-bones-server, and client apps that do not require an advanced DBMS. Processing capacity is limited to the smaller of one socket or 4 cores, max buffer pool memory is 1.41 MB, and top memory-optimized data size is 352 MB. If apps developed with SQL Server 2019 Express expand to call for more resources or additional features, you can upgrade smoothly to more advanced editions of Microsoft SQL Server. SQL Server 2019 Express with Advanced Services adds Basic R and SQL Graph integration, the distributed replay management tool, and SSDT. Microsoft SQL Server 2019 Express with Advanced Services can also support a SSRS database. SQL Server Express LocalDB is a ultra-lite version of Express that runs in user mode and can be deployed without setup and with virtually no prerequisites. The LocalDB version of Express shares all the programmability functions of other Express releases but does not allow in-memory OLTP.
Components of SQL Server 2019
The Microsoft SQL Server 2019 Installation Wizard enables you to select which of the SQL Server parts you wish to include in your deployment. These elements include:
Database Engine
The Database Engine is the core of SQL Server's services for computing, storing, and protecting data. The Database Engine is responsible for replication, full-text search, tools for managing relational and XML data, integrating in-database analytics, supporting PolyBase for working with external data repositories like Hadoop, and Machine Learning Services for processing SQL Server's relational data with Python and R scripts.
SSAS
SQL SQL Server Analysis Services (SSAS) is an OLAP and data mining resource for extracting useful insights from data dispersed across separate databases or contained in various files or tables.
SQL Server Reporting Services (SSRS)
SQL Server Reporting Services provides a set of local tools and services that allow companies to create, share, and administer tabular, matrix, graphical, and unstructured reports. You can create responsive-design smart phone reports with Microsoft's Mobile Report Publisher app and utilize native Power BI apps for handheld endpoints to view the data you have in SSRS.
SQL Server Integration Services
Integration Services (SSIS) is a set of programmable objects and no-code graphical tools for blending data from a wide variety of sources. ETL operations can be applied to XML data, flat files, and relational data sources. Integration Services can be used for duplicating or downloading files, populating data warehouses, cleaning up and mining data, and controlling SQL Server data.
Master Data Services
Master Data Services is Microsoft SQL Server's Master Data Management (MDM) solution that enables businesses to build a single look at corporate-wide data, synchronizing data sources to eliminate duplication and tracking data organization models to maintain consistency. An Excel extension allows you to share the master data set across an enterprise.
In-Database Machine Learning Services
SQL Server 2019 Machine Learning Services enables you to execute Python and R scripts with relational data sources without the need to move data out of SQL Server or across the network to another server. The open-source Microsoft Python and R packages can be used for predictive analytics.
New and Enhanced Features of SQL Server 2019
The headline new feature for Microsoft SQL Server 2019 is Big Data Clusters, which allows you to process massive data sets from Transact-SQL or Spark for machine learning and AI solutions. Additional new or enhanced features impact important technologies including the SQL Server Database Engine, feature parity between Microsoft SQL Server on Linux and Microsoft SQL Server on Windows, SSAS, and SQL Server Reporting Services.
Big Data Clusters
trusted execution environment Server 2019 debuts the Big Data Cluster, a cluster of Linux containers orchestrated by Kubernetes. The Big Data Cluster allows you to implement and run scalable clusters in interrelated SQL Server, Apache Spark, and Hadoop Distributed File System containers managed by Kubernetes. Because these components can run concurrently, The Big Data Clusters technology permits you to analyze big data from either Transact-SQL or Apache Spark and makes it simpler to aggregate and analyze your SQL Server relational data with unstructured big data. Implementation models include virtualized data for querying external data silos without transferring or replicating the target data, data lakes made from HDFS pools to hold big data, and scale-out data marts to spread data from various sources across multiple data pool nodes. You can utilize Spark or built-in R, Python, Scala, and Java tools in Microsoft SQL Server 2019 for machine learning tasks on the data deposited in HDFS storage pools.
Other Improvements to the Microsoft SQL Server 2019 Database Engine
Other improvements to the SQL Server 2019 Database Engine address smart databases, the developer environment, cybersecurity, high-availability (HA), and Linux and Windows feature set parity. Improvements to the Microsoft SQL Server 2019 Database Engine include:
Enhancements to SQL Server 2019 Reporting Services (SSRS)
Enhancements to SQL Server 2019 Reporting Services (SSRS) include:
Progent can assist your company to migrate your data and apps, configure test systems to verify SQL Server 2019's ability to support your business-critical applications, streamline management, design and carry out a company-wide security strategy that meets regulatory and industry mandates, integrate mobile endpoints, and create and test a disaster preparedness/business continuity strategy that takes advantage of the advanced HA technologies integrated into Microsoft SQL Server 2019.
Consulting services offered by Progent for SQL Server 2019 include:
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