Overview
How can SQL Server 2019, which includes Apache Spark and Hadoop Distributed File System (HDFS), help businesses enhance their operations through a unified data platform?
Expert review of SQL Server 2019
SQL Server 2019 Review
SQL Server 2019 is the latest release of Microsoft's flagship relational database management system. Packed with a wide range of new features and improvements, this version aims to enhance performance, security, and scalability. In this review, we will explore the key takeaways, features, use cases, pros, cons, and provide a recommendation for SQL Server 2019.
Key Takeaways
- Enhanced performance with Intelligent Query Processing and Accelerated Database Recovery.
- Improved security with Always Encrypted, Data Classification, and Secure Enclaves.
- Scalability improvements with Big Data Clusters and support for Kubernetes.
- Integration of Machine Learning Services and Graph Data capabilities.
- Compatibility with previous versions of SQL Server for seamless migration.
Table of Features
| Feature | Description |
|---|---|
| Intelligent Query Processing | Automatically improves query performance by optimizing execution plans. |
| Accelerated Database Recovery | Significantly reduces the time taken for database recovery after a failure or interruption. |
| Always Encrypted | Protects sensitive data at rest and in transit, ensuring privacy and compliance. |
| Data Classification | Automatically identifies and classifies sensitive data, aiding in compliance requirements. |
| Secure Enclaves | Provides a trusted execution environment for sensitive data processing. |
| Big Data Clusters | Combines SQL Server with Apache Spark and Hadoop, enabling big data analytics and storage. |
| Kubernetes Support | Allows deployment and orchestration of SQL Server containers using Kubernetes. |
| Machine Learning Services | Integrates Python and R language support within SQL Server for in-database machine learning. |
| Graph Data Capabilities | Enables graph data processing and analysis, ideal for social network analysis and recommendation systems. |
Use Cases
SQL Server 2019 caters to a wide range of use cases across various industries. Some common scenarios include:
- Enterprise Data Warehousing: SQL Server 2019's improved scalability and Big Data Clusters make it an excellent choice for handling large volumes of data in a data warehousing environment.
- Business Intelligence and Analytics: With integrated Machine Learning Services and support for graph data, SQL Server 2019 empowers organizations to perform advanced analytics and gain valuable insights from their data.
- Mission-Critical Applications: The enhanced performance and security features, such as Intelligent Query Processing and Always Encrypted, make SQL Server 2019 a reliable choice for mission-critical applications that require high availability and data protection.
- Compliance and Data Privacy: Data Classification and Secure Enclaves provide mechanisms to meet compliance requirements, ensuring sensitive data is protected and accessed only by authorized individuals.
- Cloud-Native Deployments: SQL Server 2019's support for Kubernetes allows organizations to leverage containerization and orchestration capabilities for seamless deployment and management in a cloud-native environment.
Pros
- Performance Enhancements: Intelligent Query Processing and Accelerated Database Recovery significantly improve query execution times and recovery speed, respectively.
- Enhanced Security: Always Encrypted, Data Classification, and Secure Enclaves provide robust security measures to protect sensitive data.
- Scalability and Big Data Capabilities: Big Data Clusters enable organizations to handle large-scale data and perform advanced analytics.
- Integration of Machine Learning: By providing in-database machine learning capabilities, SQL Server 2019 simplifies the process of developing and deploying machine learning models.
- Compatibility and Migration: SQL Server 2019 ensures compatibility with previous versions, making it easier for organizations to upgrade and migrate their existing databases.
Cons
- Cost: SQL Server 2019 is not a free product, and the licensing costs may be a deterrent for small businesses with limited budgets.
- Learning Curve: While SQL Server is widely used and has a strong community, mastering all the new features and capabilities of SQL Server 2019 may require a learning curve, especially for those upgrading from older versions.
- Resource Requirements: Some of the new features, such as Big Data Clusters, may require additional hardware resources and expertise to deploy and manage effectively.
Recommendation
SQL Server 2019 is a robust and feature-rich database management system that offers numerous benefits for organizations of all sizes. Its performance enhancements, security features, scalability improvements, and integration of machine learning make it a compelling choice for various use cases. However, considering the associated costs and potential learning curve, small businesses should carefully evaluate their requirements before making a decision. Overall, SQL Server 2019 is highly recommended for organizations seeking a reliable and powerful database solution.
Author

David Bond
Senior editor
David is a well-known advocate for the implementation of cloud-based solutions and automation tools for small businesses. He strongly believes that this technology solutions for small businesses and startups are the thing that provide true edge on the market. He writes primarily about project management and sales software.
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