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Today I will talk about sql versus nosql with some key details as below.

• Language
• Scalability
• Structure
• Support and some other interesting facts.

Language

SQL databases define and manipulate the data-based structured query language (SQL). SQL requires that you use predefined schemas to determine the structure of your data before working with it. Furthermore, all your data must follow the same structure. This may require a significant increase -Front preparation, which means that a change in the structure would be difficult and detrimental to the entire system.

A NoSQL database has a dynamic schema for unstructured data. The data is stored in many ways, which means it can be document-oriented, column-oriented, graphical, or organized like a KeyValue store. This flexibility means that documents can be created without having defined them. build first. Furthermore, each document can have its own unique structure.

Scalability

In almost all situations, SQL databases are vertically scalable. This means that you can increase the load on a single server by increasing things like RAM, CPU, or SSD. But, on the other hand, NoSQL databases are horizontally scalable. This means that it handles more traffic by fragmenting or adding more servers in its NoSQL database. Therefore, NoSQL can become larger and more powerful, making these databases the preferred choice for large or ever-changing data sets.

Structure

SQL databases are table-based, on the other hand, NoSQL databases are key-value pairs, graphical or document-based databases, or wide column warehouses. This makes relational SQL databases a better choice for applications that require multi-row transactions, such as an accounting system, or for legacy systems that were created for a relational structure.

Support

Great support is available for all SQL databases from your providers. There are also many independent queries that can help you with the SQL database for large-scale deployments, but for some NoSQL databases you still have to rely on community support and there are only limited external experts available to configure and implement your NoSQL large-scale deployments.

So what you should choose ? SQL or NoSQL ?

The best way to determine which database is right for your business is to analyze what its functions need. SQL is a good choice for any organization that benefits from a predefined structure and established schemas, particularly if they require multi-row transactions. It is also a good option if all data must be consistent without leaving room for error, as in accounting systems.

NoSQL is a good option for those experiencing rapid growth without clear schema definitions. NoSQL offers much more flexibility than a relational database and is a solid choice for companies that must analyze large amounts of data or whose data structures they manage are variable.

By Yuuma

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今回はWindows10でLaravelの開発環境構築をおこなう方法を説明します。

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Today I will go through about NoSQL including their database types.

NoSQL is a non-relational DMS, does not require a fixed schema, avoids joins and is easy to extend. The purpose of using a NoSQL database is for distributed data warehouses with large data storage needs. NoSQL is used for big data and real data. real-time web applications. For example, companies like Facebook, Google collect lots of user data every day.

The NoSQL database stands for “Not just SQL” or “No SQL”.

NoSQL databases are ideal for many modern applications, such as mobile, web, and gaming devices, which require flexible, scalable, high-performance, and highly functional databases to provide excellent user experiences.

Flexibility: NoSQL databases generally provide flexible schemas that allow for faster and more iterative development. The flexible data model makes NoSQL databases ideal for semi-structured and unstructured data.

Scalability: NoSQL databases are generally designed to scale by using distributed hardware clusters instead of scaling by adding expensive and robust servers. Some cloud providers handle these operations behind the scenes as a fully managed service.

High Performance: The NoSQL database is optimized for specific data models and access patterns that allow higher performance than trying to achieve similar functionality with relational databases.

Highly functional: NoSQL databases provide highly functional APIs and data types designed specifically for each of their respective data models.

You have heard of many different NoSQL databases, such as MongoDB, DynamoDB, Redis, etc. Now you may be wondering why we need so many different NoSQL databases. The reason is that different NoSQL databases focus on solving different problems.

Document-oriented databases

These databases allow storing complex nested documents, while most relational databases only support one-dimensional rows. It can be useful in many cases, for example if you want to store information about a user on your system and allow each user to have multiple addresses. With a document-oriented database, you can simply store a complex object with an array of addresses, while a relational database forces you to create two tables: one for user information and one for addresses.

Key value databases

Key value databases generally implement the simplest NoSQL model. Essentially, they provide you with a distributed hash table that allows you to write data for a specific key and read the data with this key.

Graph databases

Many domains, such as social media or information about movies and actors, can be represented as a graphic. While you can represent a graph using a relational database, it will be difficult and cumbersome. If you need to graph data, you can use specialized graphical databases that can store information about a graph in a distributed cluster and allow you to implement graphing algorithms efficiently.

Column store databases

The main difference between column store databases and other types of databases is how they store data on disk. Relational databases create one file per table and store values ​​for each row sequentially. Columnar databases create a file for each column in their tables.

I think you might get lots of things relating with NoSQL after reading this article. See you again.

Yuuma

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本記事は前記事「Windows環境でbasic認証の設定をおこなう方法(その1)」の続きです。

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Today, I would like to show you how to refresh the screen at some interval time using various ways.

Using setTimeout

<!DOCTYPE html>
<html>
<head>
	<title>Page Reload after 10 seconds</title>
</head>
<body>
<h2>Hello</h2>
</body>
<script type="text/javascript">
   setTimeout(function(){
       location.reload();
   },10000);
</script>
</html>

Using setInterval

<!DOCTYPE html>
<html>
<head>
	<title>Page Reload after 10 seconds</title>
</head>
<body>
<h2>Hello</h2>
</body>
<script type="text/javascript">
    function autoRefreshPage()
    {
        window.location = window.location.href;
    }
    setInterval('autoRefreshPage()', 10000);
</script>
</html>

Using Meta

<!DOCTYPE html>
<html>
<head>
  <title>Page Reload after 10 seconds</title>
  <meta http-equiv="refresh" content="10" />
</head>
<body>
<h2>Hello</h2>
</body>
</html>

By Yuuma

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