What is the difference between a database and a website

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What is the difference between a web search and a database search?

Yext explains what a web search is and how it differs from a database search. Learn more here.


by Yext

March 4, 2022

7 minute read



Understanding the difference between a web search and a database search may seem semantic, but it’s an important part of maintaining your business website.

Let’s discuss the difference between an internal site search and a database search, as well as what your search results pages look like.

What is the difference between a web search and a database search?

Before we can explore the difference between a web search and a database search, let’s clarify how a database and an internal search engine are different. A database stores information that will be accessed in the future. An encyclopedia is a good example of a database because it contains data on various topics and makes it easy to find a specific word or concept.

Online databases, or databases on servers, work much the same way. As long as users know where to look, they can find stored information through a database management system, provided they have the appropriate credentials or access. Users with the access right can add new data points, edit existing data, or retrieve the information they need with a database search.

Search engines work similarly to databases in that they can also retrieve data based on queries. The main difference is that search engines and databases classify data in different ways and search results will be different. Databases can handle a lot more information than search engines, but search engines can parse unstructured data.

Unstructured data cannot be stored in most databases or linked to other information because it is not classified as structured data. The most common example of unstructured data is plain text.

Most businesses need a search engine on their website, known as site search, and a database to accommodate their wide variety of information.

When to use the database or web search

A database works best in situations where a large amount of data needs to be stored and processed. Another good example is store inventory. Keeping the list of items for sale, their properties, prices, descriptions and other specifications would work best in a database to keep track of everything.

Many students are encouraged to use library databases to access articles from officially approved newspapers and magazines. Unlike what you can find on the Internet, databases contain verified information that is already classified and cataloged. However, library databases usually require a paid subscription.

A web search, on the other hand, is more efficient at processing unstructured data, such as text. If you have multiple pages on your website, such as blog posts, you’ll need internal search that filters the pages so visitors can follow the topic they’re looking for.

Why site searches are important

A search bar is one of the best resources for websites of any size. Some people just want to look around, but most of your money will come from customers who know what items or services they want. They need a quick approach to determine if you can provide them with what they need and to avoid wasting time if that is not possible.

That’s why it’s essential to follow site search best practices. Customers will have a much better experience with your website if they can quickly use keyword research to check out your products or get results relevant to their issues without contacting your support.

Integrate natural language

Customers often ignore SEO keywords to identify specific pages when they have queries or want to search for something. Everyone is used to relying on a Google search’s ability to understand natural language and would want to submit their full-text search the same way they would ask someone else out loud.

A search engine tool that can handle natural language simplifies the search process for customers and increases the likelihood that results will be meaningful to their query.

When your search engine uses natural language, you can put direct answers, rich material, and calls to action within reach of your customers.

Search engine results pages

Las páginas de resultados de los motores de búsqueda , o SERP, son codiciadas por empresas y anunciantes en línea. Cuando un usuario está completando su proceso de investigación, lo más probable es que haga clic en un resultado de la primera página, específicamente en un enlace cerca de la parte superior de la página, ya que eso es lo que verá primero. Por lo tanto, una buena clasificación en los motores de búsqueda es imprescindible para que las empresas atraigan a más clientes.

La competencia por una clasificación alta en los motores de búsqueda más populares de Internet, como Google, es muy feroz. Los SERP se basan en palabras clave que el motor de búsqueda identifica dentro de la consulta y muestran los resultados que no solo son relevantes sino también con mucho tráfico. Curiosamente, incluso si varias personas buscan las mismas palabras o frases, obtendrán diferentes SERP porque cada SERP es único.

Sin embargo, ese sistema de clasificación también se aplica a las búsquedas internas de sitios web. Desea asegurarse de que los enlaces de mayor rango sean productos o páginas que sean relevantes para la búsqueda de su cliente y no obstruyan las mejores propiedades inmobiliarias en SERP con páginas no relacionadas que frustrarán al usuario y harán que se desplace hacia abajo para encontrar algo útil. .

Resultados orgánicos

Los resultados orgánicos son los que provienen de una clasificación alta dentro de los criterios de un motor de búsqueda. La recompensa es uno de los primeros lugares codiciados en el SERP. Todos los motores de búsqueda utilizan diferentes criterios para clasificar los resultados, además del tráfico que ve un sitio web y su relevancia para la consulta. Podrían tener en cuenta cosas como:

  • Ubicación del usuario
  • Historial de navegación
  • Historial de compras anterior
  • Configuración de caché

Most search engines don’t disclose everything they use to rank websites to stop web companies from ‘gaming the system’ and catering exclusively to their needs. Ideally, the algorithm should be met naturally to encourage organic discovery. There are three types of searches, some of which are more likely to yield organic results than others.

Navigational Searches

With navigational searches, users are looking for a certain website. They already know what they’re looking for, and they just need a quick and easy way to find it. The best example of this is knowing a brand name and searching it to find the right website.

Transactional Searches

Transactional searches most often yield paid results, which we will address in more depth below. These searches often involve the word buy and imply that the user wants to make a purchase. For advertisers, a user performing a search with high intent of buying something is the optimal customer, so they pay for their website to feature high up in the SERP.

Informational Searches

As the name suggests, informational searches are often the type that will lead you to a forum or a Wikipedia page. The user asks a question with the intent of learning the answer, possibly learning some related content, and then ending their session on a website. You are most likely to find organic results with informational searches since advertisers figure that these users are the least likely to continue through the sales funnel and make a purchase.

Despite their supposed commitment to encouraging organic discovery through websites that happen to meet their criteria and are ranked highly for maximum discoverability, most search engines also feature paid results. These results take up the best real estate on the page by appearing at the very top of the SERP. On Google, you might notice that the first three or four results on your SERP might say “Ad,” indicating that it is a paid advertisement.

While organic searches can feature pictures, paid results often were slightly smaller and did not have any accompanying pictures. However, now it is much more challenging to distinguish between paid results and organic results at first glance.

Knowledge Graph

Another aspect of a SERP may include short, succinct answers to common questions about the topic you searched or related questions. In this way, users can see snippets of a web page that answer a direct question. The knowledge graph collects information about the topic in question from all across the internet so that the SERP can deliver a precise answer to a user’s question.

In Conclusion

Recognizing how on-site searches operate is a crucial element of tailoring your website to the demands of your visitors. It’s crucial to continually test your search functionality to verify that your clients get the rapid, helpful return they expect. This will enhance your income by leading clients to what they want without them having to spend too much time searching.

Contactez-nous pour en savoir plus sur l’importance d’une recherche interne fiable et de l’engagement de vos clients.

  • Définition de la base de données Web
  • mysql
  • Dernières pensées

581400b34f7df80bbf4a06baab5f9b2a 581400b34f7df80bbf4a06baab5f9b2a

Asmo 30 janvier 2018 3 min de lecture

Tout ce que vous devez savoir sur les bases de données Web

Une brève introduction aux bases.


What-is-a-web-database What-is-a-web-database

Avec notre amour et notre confiance dans les technologies de l’information, nous, les humains, avons amassé une grande quantité de données. Il est donc logique d’avoir un endroit pour en abriter une partie. Entrez dans les bases de données Web.

Zenkit Web Database Zenkit Web Database

Designed to hold a large collection of organized information that can be accessed by multiple users with optimal speed and minimal processing overhead, we already know that a database is a convenient way to store information. But what is a web database?

Web Database Definition

A web database is basically a database accessible from a local network or the Internet rather than a database whose data is stored on a desktop computer or its attached storage. Used for both business and personal use, they are hosted on websites and are Software as a Service (SaaS) products, meaning access is provided through a web browser.

One of the types of web databases you may be most familiar with is a relational database. Relational databases allow you to store data in groups (called tables), thanks to their ability to link records together. It uses indexes and keys, which are appended to data, to locate fields of information stored in the database, allowing you to quickly retrieve information.

To paint a picture, just think of when you are shopping online and want to take a look at a specific product. Typing in keywords like “black dress” allows all of the black dresses stored on the website to appear directly in the browser you are looking for as the “black” and “dress” information is stored in their database entries .

Did you know that you can use Zenkit to create a relational web database using reference fields to link two tables (collections)?

Some advantages of using a web database include:

  1. Web database applications can be free or paid, usually through monthly subscriptions. For this reason, you pay for the amount you use. So whether your business is shrinking or expanding, your needs can be met depending on the amount of server space. You also don’t have to shell out the cost of installing full-featured software.
  2. Information is accessible from almost any device. Having stuff stored in a cloud means you’re not locked to a computer. As long as you have access to it, you can technically get the data from almost any compatible device.
  3. Web database programs usually come with their own technical support team so that people in your IT department can focus on other pressing business issues.
  4. It’s convenient: Web databases allow users to update information. So all you need to do is create simple web forms.


Something you’ll commonly see related to the topic of web databases, and also worth mentioning due to its use on many high-profile websites, such as Google, Facebook, Twitter, and WordPress, is MySQL. Based on the Structured Query Language, MySQL is a relational database management system (DBMS).

For your information, a database management system is software that manages the movement of data in, out and around the database. The term “database” refers to the actual data that is stored.

MySQL is not the only database management system, but it is one of the most popular types. The reasons are:

  • It is an open source relational database management system, which means it is free to use and modify.
  • It is cross-platform compatible, making installation easy.
  • It’s known for being easy to use, promising that even the most incompetent tech user will find initial setup and usage relatively straightforward.

Final Thoughts

As mentioned, web databases can be used for business and personal purposes. Common ways businesses use web databases are customer feedback forms, website surveys, and inventory listings. Personal web databases are a useful way to store email addresses, or even for a household inventory list.

Have you used a web database for purposes unrelated to your job? (Hint, you probably did!) We’d be curious to see other ways people have adopted these for personal use. Let us know in the comments section below!


Dinnie and the Zenkit team

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  • Data
  • Database
  • mysql
  • Programming
  • Zenkit project management

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