Best and Cheap SQL Server 2019 Cloud Hosting
SQL Server 2019 delivers breakthrough mission-critical capabilities with in-memory performance and operational analytics built-in. Comprehensive security features like new Always Encrypted technology help protect your data at rest and in motion, and a world-class high availability and disaster recovery solution adds new enhancements to AlwaysOn technology.
Organizations will gain deeper insights into all of their data with new capabilities that go beyond business intelligence to perform advanced analytics directly within their database and present rich visualizations for business insights on any device.
You can also gain the benefits of hyper-scale cloud with new hybrid scenarios enabled by new Stretch Database technology that lets you dynamically stretch your warm and cold transactional data to Microsoft Azure in a secured way so your data is always at hand for queries, no matter the size. In addition, SQL Server 2019 delivers a complete database platform for hybrid cloud, enabling you to easily build, deploy and manage solutions that span on-premises and cloud.
How to Find Best and Cheap SQL Server 2019 Hosting?
How to choose a best and cheap web host for SQL Server? Choosing a best cheap web host for SQL Server is not a simple task especially with low price offers. You need to take a large number of factors into consideration, including the SQL Server compatibility, usability, features, speed, reliability, price, company reputation, etc. Therefore, we have established this SQL Server review site, which is designed to help you find the best SQL Server host within minutes, based on our specialized editors’ SQL Server hosting experience and real customers’ feedback.
Best and Cheap SQL Server 2019 Hosting
They allow you full remote connectivity to your SQL Server 2019 Hosting database and do not restrict access in any way. With their SQL Server hosting package, there’s no need to rebuild your database from scratch should you wish to transfer an existing SQL Server database to us. If you already have a database hosted elsewhere, you can easily transfer the contents of your database using SQL Server Management Studio which is fully supported by their packages. SSMS provides you with an Import/Export wizard whom you can use to upload your data and stored procedures with a couple of clicks.
10 Reasons to Migrate to Microsoft SQL Server 2019
SQL Server makes it easy to deploy, transfer and integrate big data
Kubernetes-based solution for big data processing, built in SQL Server, allows to deploy the big data cluster easily and work with it. The Kubernetes package provides the deployment of HDFS storage, a relation module SQL Server, and Spark Analytics in the form of containers.
SQL Server 2019 include Spark and HDFS, which allows to read and record data directly in HDFS, using SQL Server or Spark. Kubernetes architecture provides flexible scaling of compute capacity and storages on request.
Structured and unstructured data integration
Today’s amount of information makes it irrational and unprofitable to convert all the available data to relation tables in order to store them in DBMS. 2 years ago Microsoft introduced PolyBase – the new technology, which enables SQL Server to process Transact-SQL requests that can access the data from Hadoop and combine the data from SQL Server and Hadoop. In SQL Server an external table or an external data source provides connection with Hadoop, virtualizing external data sources and making it unnecessary to import them to a relation base and access these data later on request.
Therefore, the data can be accumulated in their natural format, which doesn’t have to be relational. They can be represented in the form of a virtual table. Virtualization allows to integrate data of various formats, from different sources and storages without the replication and transfer, creating a unified virtual data matrix.
Microsoft has been proving the high level of SQL Server productivity for a few years by transaction tests and data storage tests. Version 2019 has shown excellent results in the following tests:
- OLTP productivity
- DW productivity for 1 TB, 10 TB and 30 TB
- OLTP price/performance ratio
- DW price/performance ratio for 1 TB, 10 TB and 30 TB
Persistent Memory support (РМЕМ).
Persistent Memory (PMEM) is a fast memory able to store data after power shutdown. It allows to process in-memory data without using transmission channels. It makes the query processing 30% faster for intense I/O workloads.
Any SQL Server file saved on a PMM device can be reached directly with the use of memcpy efficient procedures, without accessing the operation system storage.
Hybrid transactional/analytical processing (НТАР).
HTAP model allows to perform operational transactions and analytics simultaneously for the same data in the same memory, applying the in-memory approach at the same time.
Intelligent processing of requests
Parallel processing and improved scaling of frequent requests provided by the mechanisms of intelligent processing of requests increase the productivity dramatically. The delayed compilation of table variables accelerates the processing of requests by 50%.
Safety and compliance with the requirements
Always Encrypted technology is designed to protect confidential data and enhanced with secure enclaves. In-place encryption method allows to perform cryptographic operations with confidential data without transferring them outside the database.
Cryptographic operations include column encryption and can be performed with Transact-SQL. They do not require transferring the data from the database. Secure enclaves support all the full-function calculations, including ranges comparison, which significantly expands the opportunities of their use.
Always Encrypted technology with secure enclaves is available in Windows Server 2019.
Azure Data Studio
Azure Data Studio (the former SQL Operations Studio) is a simple cross-platform graphic development and a code editor. It allows to create requests for relational and non-relational databases and supports various operational systems and data sources. Azure Data Studio allows to connect to SQL Server locally and in the cloud, in Windows, MacOS and Linux.
Selection of OS and containers
SQL Server 2019 is flexible in terms of platforms, programming languages and means of delivery.
- Supports Red Hat Enterprise Linux, SUSE Linux Enterprise Server, Ubuntu and Windows
- Docker containers for Linux and Windows. Installing with the support for Linux tools: Yum lnstall, Apt-Get and Zypper
- The same abstraction level as the SQL Server on Linux
- Alliws to use R, Python and Java when working with T-SQL. Now the language extension for Java is available in SQL Server.
Intelligent data analysis
SQL Server gradually integrates with other analytics platforms, Spark in particular, which is now included in the SQL Server package.
Spark is a popular tool for machine learning and advanced analytics, which has an efficient in-memory machine. It is integrated with SQL, which is highly efficient for visual analytics.
The opportunities of data analytics and visualization. The correct analysis and the efficient presentation of results directly affects the efficiency of the data analysis and the opportunity to make management decisions on its basis.