SQL Server 2019 is a modern, self-hosted release of Microsoft's primary RDBM engine. The headline feature is the integration of Microsoft SQL Server with the Spark analytics engine, Hadoop Distributed File System, and additional Linux-powered big data components to enable Big Data Clusters. The Big Data Cluster supports massively scaled machine learning tasks on the data stored in HDFS and SQL Server storage pools. You can implement Big Data Clusters as containers in locally hosted Kubernetes clusters, such as AKS on Azure Stack, or in any cloud with a Kubernetes service like Microsoft Azure Kubernetes Service.

SQL 2019 also delivers enhancements in the fundamental SQL Server database technology such as feature parity on Linux systems. Additional significant innovations improve SSAS and SQL Server Reporting Services (SSRS).
Because SQL Server 2008 and SQL Server 2008 R2 have reached EOS status, moving to a modern release of Microsoft SQL Server makes sense for organizations concerned about cybersecurity, compatibility, and competitiveness. Progent has two decades of background designing, deploying, managing, and debugging SQL Server environments and can assist companies of all sizes to perform a cost-effective upgrade to Microsoft SQL Server 2019. Progent's Microsoft-certified Microsoft SQL Server experts can help you to assess the benefits for transitioning to Microsoft SQL Server 2019 from an older release of SQL Server and Progent can provide fast remote or on-premises access to experts in system architecture, software programming, DBA services, and data security. Progent can help you to configure Microsoft SQL Server 2019 on premises, in a private or public cloud, or in a hybrid on-prem/cloud network model.
You can work with Progent's consultants on an as-needed basis for tasks like design review or troubleshooting or you can get comprehensive project management and co-management support to ensure your Microsoft SQL Server 2019 initiative is successfully carried out on time and within budget. Progent can provide the help of certified network security experts, disaster recovery/business continuity planning consultants, and database application designers and programmers to make sure your SQL Server 2019 environment delivers top business value.
Progent's Microsoft-certified IT experts can also help your business to configure Microsoft SQL Server 2019 to work with other Microsoft products and technologies by providing support such as Windows Server 2019 consulting services, Hyper-V configuration consulting, Exchange Server 2019 solution design consulting, SharePoint 2019 development consulting services, hybrid integration with Azure cloud services, Microsoft Skype for Business integration expertise, Dynamics GP reporting expertise, and Microsoft System Center Operations Manager (SCOM) consulting.
Progent's veteran software developers can help you to plan, produce, pilot test, install, and troubleshoot applications that use Microsoft SQL Server 2019 databases and Progent can provide expertise in data modeling, (Online Transaction Processing, Data Warehousing, Data Mining, ETL, tuning, availability, backup/recovery, analytics, and integration with Amazon Marketplace Web Service. To learn more about Progent's SQL Server development and debugging services, visit SQL Server software development experts.
Microsoft 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.
SQL Server 2019 Enterprise is the high-end edition of SQL Server 2019 and is designed for mission-critical applications that call for the highest advanced levels of capacity, resilience, and throughput. Compute power and RAM permitted per database are limited only by the operating system limit, the amount of virtual machines allowed is unlimited, and relational 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 for collective failover, online file restore, online index create and rebuild, pause and resume online index rebuilds, online schema change, and live add memory and processor. Scalability and performance features for the Enterprise version of Microsoft SQL Server 2019 include in-RAM database, partitioned table parallelism, automatic optimization, batch mode adaptive joins plus memory grant feedback. The Enterprise edition of Microsoft SQL Server 2019 also offers a richer collection of data warehousing services, Analysis Services and Reporting Services than other versions.
SQL Server 2019 Developer version is basically identical to the Enterprise edition, but is licensed for use only for development and testing. The Developeredition is not licensed for use in a production system. Microsoft SQL Server 2019 Developer supports only a single client for SQL Server Distributed Replay.
Microsoft SQL Server 2019 Standard version is intended for departments and small organizations who need a basic, minimum-overhead solution for information management and BI. Microsoft SQL Server 2019 Standard edition includes all the security functions of SQL Server 2019 Enterprise, but CPU scale is limited to the smaller of 4 sockets or two dozen cores. For every instance of SQL Server Database Engine, maximum memory for buffer pool is 128 GB, and max memory-optimized data size is 32 GB. In contrast to the Enterprise edition, the Standard version of Microsoft SQL Server 2019 does not come with advanced R and Python support and does not incorporate Machine Learning Services, but includes the remaining programmability functions and the administration utilities the come with the Enterprise edition. High-end features like transparent data encryption and Big Data Clusters are included with the Standard edition.
SQL Server 2019 Web version is an inexpensive option intended for web hosting organizations. CPU capacity is restricted to the smaller of four sockets or 16 cores, max buffer pool RAM is 64 MB, and maximum RAM per instance is 64 GB. Unlike the Standard edition of Microsoft SQL Server 2019, SQL Server 2019 Web edition does not include Always On failover cluster instances, basic availability groups, or accelerated database recovery. The Web version also does not offer transparent database encryption. You can profile SQL Server Web with Microsoft SQL Server Enterprise or SQL Server Standard editions, and SQL Server Web includes the other management utilities provided with the Standard version. Data warehousing, multidimensional models, BI Services, and certain Reporting Services are not included.
Microsoft SQL Server 2019 Express, offered in several variants, is a no-cost entry-level version of Microsoft SQL Server designed for training or for creating desktop, bare-bones-server, and client applications that do not require an industrial-strength database platform. Processing scale is limited to the smaller of 1 socket or 4 cores, max buffer pool cache RAM is 1.41 MB, and maximum memory-optimized data is 352 MB. If applications developed with Microsoft SQL Server 2019 Express grow to require more resources or additional functionality, you can migrate smoothly to more advanced versions of Microsoft SQL Server. Microsoft SQL Server 2019 Express with Advanced Services adds Basic R and SQL Graph services, the distributed replay management utility, and SSDT. SQL Server 2019 Express with Advanced Services can also support a SQL Server Reporting Services (SSRS) database. SQL Server Express LocalDB is a trimmed down version of Express that operates in user mode and can be deployed without configuration and with virtually no prerequisites. The LocalDB edition of Express shares the programmability functions of other Express releases but does not allow in-memory (Online Transaction Processing.
Parts of Microsoft SQL Server 2019
The Microsoft SQL Server 2019 Installation Wizard enables you to select which of the SQL Server components you want to activate in your deployment. These parts include:
SQL Server Database Engine
The Database Engine is the heart of SQL Server's services for processing, storing, and protecting data. The Database Engine is responsible for replication, search, utilities for managing relational data, integrating in-database analytics, supporting PolyBase for working with external data sources such as Hadoop, and Machine Learning Services for processing Microsoft SQL Server 2019's relational data with Python and R scripts.
SQL Server Analysis Services (SSAS)
SQL SSAS is an Online Analytical Processing and data mining resource for deriving useful insights from data dispersed across separate databases or in a variety of files or tables.
SSRS
SQL Server Reporting Services (SSRS) provides a collection of local utilities and services that enable you to build, share, and administer tabular, matrix, graphical, and unstructured reports. You can build responsive-design smart phone reports with the Mobile Report Publisher app and utilize native Power BI apps for mobile devices to access the data you have in SSRS.

Integration Services
SQL Server Integration Services (SSIS) is a collection of programmable objects and code-less graphical utilities for blending data from a wide variety of sources. Extract, transform, and load (ETL) processes can be performed on XML data, text, and relational data silos. Integration Services can be utilized for copying or downloading files, loading data warehouses, cleaning up and mining data, and controlling Microsoft SQL Server data.
Master Data Services
Master Data Services is Microsoft SQL Server's Master Data Management (MDM) platform that allows businesses to build a centralized view of enterprise data, synchronizing data sources to avoid duplication and versioning data organization models to maintain consistency. A Microsoft Excel add-in makes it easy to share the master data set throughout an enterprise.
In-Database Machine Learning Services
SQL Server 2019 Machine Learning Services enables you to execute Python and R scripts with relational data without transferring data out of SQL Server 2019 or across the network to another server. The open-source Microsoft Python and R packages can be used to train and deploy machine learning models.
New and Improved Features of Microsoft SQL Server 2019
The most prominent new feature for Microsoft SQL Server 2019 is Big Data Clusters, which allows you to process big data from Transact-SQL or Spark for machine learning and AI applications. Additional new or improved features impact key technologies including the SQL Database Engine, feature parity between SQL Server on Linux and Microsoft SQL Server on Windows, SQL Server Analysis Services, and SSRS.
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 enables you to implement and run massively scalable clusters in interrelated SQL Server, Apache Spark, and Hadoop Distributed File System containers managed by Kubernetes. Because these elements can run in parallel, The Big Data Clusters feature permits you to analyze big data from either Microsoft Transact-SQL or Apache Spark and makes it easy to combine and analyze your internal SQL Server relational data with. Deployment scenarios include virtualized data for processing external data silos without transferring or copying the data, data lakes made from HDFS storage pools to house big data, and scale-out data marts to distribute data from a variety of sources across data pool nodes. You can use Spark or built-in R, Python, Scala, and Java utilities in SQL Server 2019 for machine learning jobs on the data held in HDFS storage pools and data pools.

Additional Enhancements to the SQL Server 2019 Database Engine
Additional improvements to the Microsoft SQL Server 2019 Database Engine address smart databases, the developer environment, security, HA, and Linux and Windows feature parity. Enhancements to the Microsoft SQL Server 2019 Database Engine include:

Improvements to SSRS 2019
Enhancements to SQL Server 2019 Reporting Services include:
Progent can help your company to migrate your data and apps, set up test environments to verify SQL Server 2019's ability to run your business-critical workloads, centralize management, design and implement a company-wide security plan that complies with regulatory and industry requirements, integrate mobile devices, and define a disaster recovery/business continuity strategy that takes advantage of the advanced HA features built into SQL Server 2019.
IT consulting services offered by Progent for SQL Server 2019 include:
If you require immediate online assistance from a Microsoft-certified consultant, see Progent's Online IT Technical Support.
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