Unveiling the Evolution: A Comprehensive Comparison of SQL Server Versions 2014, 2016, 2017, and 2019 RC

Introduction:

In the ever-evolving landscape of database management systems, SQL Server stands tall as a stalwart, powering critical applications and data-driven decision-making processes. With each new version, Microsoft has introduced enhancements and features aimed at improving performance, security, and scalability. In this article, we delve into a detailed comparison of SQL Server versions 2014, 2016, 2017, and the Release Candidate (RC) of 2019. Let’s explore the key advancements and differentiators that make each version unique.

SQL Server 2014:

Released in 2014, SQL Server 2014 marked a significant milestone with improved in-memory processing capabilities, providing faster query performance. It introduced the Hekaton engine, enhancing transaction processing speeds by storing certain tables in memory. Additionally, SQL Server 2014 focused on cloud integration, making it easier to deploy databases to Microsoft Azure.

SQL Server 2016:

Building upon the foundation laid by its predecessor, SQL Server 2016 brought about substantial improvements in security and analytics. It introduced Always Encrypted for enhanced data protection, as well as dynamic data masking to safeguard sensitive information. Furthermore, SQL Server 2016 embraced advanced analytics with the integration of R Services, allowing users to perform real-time predictive analytics.

SQL Server 2017:

Released in 2017, SQL Server 2017 continued the trend of innovation with features designed for enhanced performance and cross-platform compatibility. Notably, it brought support for Linux, making SQL Server more versatile in its deployment options. The Graph Database feature was also introduced, catering to applications with complex relationships and dependencies.

SQL Server 2019 RC:

The Release Candidate of SQL Server 2019 showcases Microsoft’s commitment to pushing the boundaries of data management. A standout feature is the integration of Big Data Clusters, enabling users to analyze and visualize data across various sources seamlessly. SQL Server 2019 also introduces intelligent query processing, optimizing query performance through adaptive query processing and table variable deferred compilation.

Key Differentiators:

Performance:

Each subsequent version of SQL Server has demonstrated improvements in query performance, with optimizations for in-memory processing and advanced analytics capabilities.
Security: The evolution of SQL Server is synonymous with enhanced security features, from Always Encrypted to dynamic data masking, fortifying data protection at various levels. Read our previous article on data protection to fully understand why you need to protect your data.

Compatibility:

SQL Server’s compatibility has expanded over the versions, with SQL Server 2017 introducing Linux support and SQL Server 2019 RC further refining cross-platform capabilities.
Innovation: The introduction of new features like Big Data Clusters in SQL Server 2019 RC showcases Microsoft’s commitment to innovation, addressing the evolving needs of modern data management.

Microsoft SQL Server 2019 RC represents the most recent iteration of SQL Servers currently available in the market. Distinguishing itself from its predecessors, this version boasts superior features that position it at the pinnacle of database management. Notable enhancements encompass:

Intelligence with SQL Server 2019 Big Data Clusters:

This feature empowers users to conduct analytics and AI seamlessly across any data using potent SQL and Apache Spark.High-value data can be enriched by merging it with big data, complemented by the ability to dynamically scale out compute resources to support analytics.

Data Virtualization with PolyBase:

PolyBase facilitates querying data from a centralized focal point, enabling users to query data stored in diverse sources such as Oracle, Teradata, HDFS, and more.

Choice of Platform and Language:

SQL Server 2019 RC provides versatile deployment options, running on Windows, Linux, and containers, with support for Kubernetes deployment.

Compatibility extends to multiple Linux distributions, including RedHat, SUSE, and Ubuntu. The server supports custom Java code execution, akin to its handling of R and Python.
UTF-8 character support caters to applications operating on a global scale.

Industry-Leading Performance and Availability:

The server features built-in intelligence for monitoring queries, ensuring flawless execution.

Performance recommendations are generated through system self-analysis.
Database availability is significantly improved.
Compatibility certification facilitates smooth upgrades and modernization for on-premises and cloud-based SQL Server instances.

Enhanced Intelligence:

SQL Server 2019 RC integrates enhanced intelligence features, reinforcing its capabilities in monitoring and optimizing database performance.

Unparalleled Security:

Robust security measures have been implemented to safeguard sensitive data.
Secure enclaves allow encryption within the database, eliminating the need to move sensitive data outside.

Row-level security and dynamic data masking enhance compliance tracking for organizational and regulatory standards.

Transparent data encryption ensures that data at rest is encrypted, preventing unauthorized access to any data within the database.

In summary, Microsoft SQL Server 2019 RC introduces a host of cutting-edge features that elevate its standing in the realm of database management. From improved analytics capabilities to versatile deployment options and enhanced security measures, this version caters to the evolving needs of organizations seeking a comprehensive and advanced database solution.

Conclusion:

As organizations grapple with growing data volumes and complex analytical demands, choosing the right SQL Server version becomes pivotal. Understanding the distinctive features of SQL Server 2014, 2016, 2017, and the 2019 Release Candidate empowers users to make informed decisions based on their specific requirements. Whether it’s improved performance, enhanced security, or advanced analytics, SQL Server continues to evolve, catering to the dynamic landscape of data management.