Cheap and Reliable SQL Server 2016 Hosting Recommendation
Cheap and Reliable SQL Server 2016 Hosting Recommendation
 |
 |
 |
 |
 |
| Hosting Sites |
Unlimited |
Unlimited |
Unlimited |
1 |
| Disk Space |
5 GB |
Unlimited |
2 GB |
1 GB |
| Bandwidth |
60 GB |
Unlimited |
20 GB |
20 GB |
| Uptime |
99.90% |
99.90% |
99.90% |
99.90% |
| Control Panel |
Plesk |
Plesk |
Plesk |
Plesk |
| Technical Features | ||||
| Platform |
Windows 2012 R2 |
Windows 2012 R2 |
Windows 2012 R2 |
Windows 2012 R2 |
| ASP.NET |
2.0/3.5SP1/4.5.2/5 |
2.0/3.5SP1/4.5.2/5 |
2.0/3.5SP1/4.5.2/5 |
2.0/3.5SP1/4.5.2/5 |
| ASP.NET MVC |
2.0/3.0/4.0/5.0/6.0 |
2.0/3.0/4.0 |
2.0/3.0/4.0 |
2.0/3.0/4.0 |
| IIS |
8.5 |
8.5 |
8.5 |
8.5 |
| Trust Level |
Full |
Full |
Full |
Full |
| URL Rewrite |
MS URLRewrite2 |
MS URLRewrite2 |
MS URLRewrite2 |
MS URLRewrite2 |
| Total MSSQL |
1 |
1 |
1 |
– |
| MSSQL Space |
50 MB |
50 MB |
100 MB |
– |
| MSSQL Version |
SQL Server 2014/2012/2008R2 |
SQL Server 2014/2012/2008R2 |
SQL Server 2014/2012/2008R2 |
SQL Server 2014/2012/2008R2 |
| Remote MSSQL |
Yes |
Yes |
Yes |
Yes |
| Total MySQL |
1 |
1 |
1 |
1 |
| MySQL Space |
100 MB |
100 MB |
100 MB |
100 MB |
| MySQL Version |
5.x |
5.x |
5.x |
5.x |
| PHPMyAdmin |
Yes |
Yes |
Yes |
Yes |
| Email Specification | ||||
| Accounts |
Unlimited |
Unlimited |
Unlimited |
Unlimited |
| Storage |
200 MB |
200 MB |
200 MB |
500 MB |
| IMAP |
Yes |
Yes |
Yes |
Yes |
| POP3 |
Yes |
Yes |
Yes |
Yes |
| SMTP |
Yes |
Yes |
Yes |
Yes |
| Anti Spam |
Yes |
Yes |
Yes |
Yes |
| Anti Virus |
Yes |
Yes |
Yes |
Yes |
| Webmail |
Yes |
Yes |
Yes |
Yes |
After review 50 + web hosting provider, we found the best and reliable SQL Server 2016 hosting. Their reliability, speed, price, technologies and technical support, we recommend best and reliable SQL 2016 hosting providers in 2016 for personal and small businesses.
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Why these Hosts Offer Cheap and Reliable SQL Server 2016 ?
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What’s SQL Server ?
ReliableASPNETHosting.com | Cheap and reliable SQL Server 2016 Hosting. SQL Server is a Microsoft product used to manage and store information. Technically, SQL Server is a “relational database management system” (RDMS). Broken apart, this term means two things. First, that data stored inside SQL Server will be housed in a “relational database”, and second, that SQL Server is an entire “management system”, not just a database. SQL itself stands for Structured Query Language. This is the language used to manage and administer the database server.
Why Use a Database?
So, now that we know SQL Server is an application for storing information inside a “table” structure, let’s examine the reasons why you would use a Database rather than a spreadsheet or some other program for data storage.
Imagine you’re creating an application for storing sales transactions. We’ll start by saving just a few columns of information such as the Item Sold, Quantity, Price, Sale Date, and the Customer sold to. One of the first storage options to consider is saving this information in a large text file. There are benefits to text file saves such as quick write times. The problem with text files is during a read, if the text file is large, it can take quite a bite of time to open and scan the contents of the file looking for what we want. Also, if we wanted to see all the sales to a specific customer, the entire text file would have to be read, and every line occurrence of the customer name would need to be saved in some temporary place until we had them all. If we saved to a spreadsheet instead of a text file, we would have a Sort feature built in. So we may be able to find all the sales to a specific customer quicker, but again, if the file was large, opening the spreadsheet could take a great deal of time.
In addition, what if we wanted to save the customers address as well as their name, now instead of saving five pieces of information (Item Sold, Quantity, Price, Sale Date, and the Customer sold to), we’ll be saving nine columns of information (all the previous plus Address, City, State, and Zip). This means were going to almost double the size of our text file or spreadsheet to accommodate this additional customer data. However, if we used a database, we could save the sales data and the customer address data in two separate places, so the size of the sales data wouldn’t get any larger. When we wanted a report showing the customers’ address, we could “Relate” or link the address data to the sales data.
Not only would our sales information be smaller in a database, but the actual address data would be smaller as well. In a spreadsheet or text file, each sales line would include a complete address. In a database, the address would only be recorded once. It wouldn’t matter if the customer made 100 or 100,000 purchases. All sales records would point to, or “Relate” to, that same single address line.
This “Relating” of data, so sizes stay small is one benefit of a database. In addition, reading and writing to database is very fast. Plus, many databases support having multiple users access the same data at the same time. Something text files and spreadsheets don’t do. Also, the amount or volume of information a database can store is almost unlimited, unlike a spread sheet where there is a fixed number or rows that can be saved.
