4 Examples Of Database Application



With a customizable online database, organizations position themselves for cost optimization and improved competitiveness. Of course, the Kohezion team thinks online database software is the best tool to create database applications. Non-technical folks who need to handle important data as if they were experts can easily use Kohezion. Our product pairs all the pros of the classic database products with the ease of use of an Excel spreadsheet to offer you a highly customizable yet approachable solution. However, one needs to search for other examples of the database application in order to make the right decision for their business. When it comes to databases, it's easy to get lost in the many definitions. If words such as SQL, queries, tables, and records make your head spin, I'm here to help you sort it all out. To be able to better understand what is Kohezion and how to create database applications, let's first tour three other examples of the database application: SQL-based database management systems, NoSQL/NewSQL database management systems, and Excel spreadsheets. First, I'll explain what is a database. Then, I'll explore what are the main types of databases and database languages available, including the pros and cons for each of them, and examples of how they can be used. I'll conclude this post by explaining what is Kohezion and how it fits in the database world.

What is a database?

At its simplest expression, a database is a gathering of information, here called data, stored on a server. You organize the data in a way so the en-user can retrieve, manage, and edited it in significant ways. This data could be something very simple such as personal information about clients or customers. It could also be inventory, sales, calls, or anything anyone needs to track. It's up to the user to determine the format and what data he needs to aggregate. When you're using a database, you don't store the data on your computer's hard drive but in the cloud on a server, somewhere. Using a database management system (DBMS), you make calls/queries to retrieve the information. This part is called the back-end. To present the data in a consequential way to the user, web developers create a website and easy-to-use database applications. This part is called the front-end. Even if there are many other database models such as hierarchical and network models, the relational database model is the most common. The relational database model was developed in the early 1970s and it is still the most common model to this day. You store the data in the relations, taking the form of tables made of columns (fields) and rows (records/items). To access and interact with the data contained in a relational database, its user needs to use a relational database management system (RDBMS). Even though there are other examples of the database application, the most common language used to query and manage relational databases is SQL (Structured Query Language).

Read also: HIPAA Compliant Online Database

Fast and easy, you create your own applications

To create your own database applications, you don't need programming skills. If you can efficiently use the Internet and a tool like Word or Excel, you have more than enough skills to create your own apps. As an added bonus, it only takes 30 to 60 minutes to create an app. Let's say you need two to three applications to manage your data. You can have it all set up before lunch. If you are migrating your data from spreadsheets to the cloud, you can even create your application by importing your data into your account. Each column of your spreadsheet becomes a field in your application. All you need to do is a little tweaking here and there to make it look good and you are done. Don't worry if you don't have preexisting data, it is as easy to create an application from scratch. Additionally, don't worry about fitting your needs into a fixed template. With online database software, you can create exactly what you need.

Grids or calendars, you choose how you want to see your data

Some applications like clients or prospects are better served by being displayed in a grid when you run a search. From a grid, you can sort the data alphabetically from any existing field like the last name of your contact or his business name. On the other hand, applications like tasks or any other application based on a date or date/time field will benefit from being displayed in a calendar. This allows you to quickly see an overview of what is to come in the current day, week, or month. If you like to have an even more convenient way to see your data in a calendar, use the multi-project custom calendar feature to create calendars where you add multiple searches. For example, you could then see all your current tasks, meetings, planned calls, and contract renewal dates in the same convenient calendar.

Slice and dice your data, you create your own custom searches

Once you create applications and projects, you will start to input data into your account. You will soon discover that you often want to see specific subsets of data at a time. For example, you may want to see all the tasks assigned to a specific user or all the meetings planned for the next seven days. To do so, create custom searches. You can create searches at different levels throughout your account. Create searches at the application level to see them in all the projects derived from this specific application. You can do so when the information you need to access is only found in that specific project, too. Each user can even create their own searches on his or her dashboard. With the custom searches feature, you make sure you can access your data efficiently.

Role-based permission, you manage your users and their permissions

When you input all your data into one account, you may worry about security and accessibility to the data inside your team. We understand that all users are not created equal. This is why all accounts include the role-based security feature. First thing first, you have to create all the users you need. If you have a lot of users, you may even want to create user groups to facilitate the assignation of permissions. Once your users and user groups are created, you can then assign some permissions to each of them. The permissions you can assign cover a lot of different scenarios. At the account level, you can make a user project, report, security, template, and/or timesheet administrator. You decide according to your own needs. Then, at the project level, you can allow each user to create, delete, edit and/or view items as long as make them invisible user or project administrator for this project only. Whenever you need to make changes to your users, user groups, or their permissions, you can edit all of the above in just a few clicks, within seconds, without having to call a technician. You are the master of your own account.

1 - SQL: The Classic

Out of all our examples of the database application, SQL is the language most IT experts use to interact with relational databases. These interactions are called transactions. To be efficient and accurate, transactions must be ACID (atomic, consistency, isolation, durability). Atomic means the transaction is all or nothing. Consistency refers to the fact that the database must remain in a consistent state before and after the transaction. Isolation means all transactions must be independent of one another. Durability refers to the fact that you can't undo a transaction after the user has been notified of a successful transaction. The best example I can find to explain SQL and its ACID properties is a banking system. Let's say I want to transfer funds from my own account to my husband's. There will be a series of calls or queries to send the money from one account to the other. He must answer and complete all calls in order to complete the transaction. If a call fails, he won't complete the transaction and we'll both keep our money (atomic). This transaction (consistency) won't affect the information in each of our accounts. Each call to the database will only be related to our transaction (isolation). Finally, once the transaction is successful, we won't be able to cancel it (durability). The best-known RDBMS using SQL to create and query databases are IBM DB2, Oracle, Microsoft Access, and MySQL. Examples of SQL-based databases citizens use every day include banking systems, computerized medical records, and online shopping to name just a few.

Pros of SQL

  • Well-known language has been around for over 40 years.
  • Great storage solution (servers, not your hard drive!)
  • Allows query of the entire database
  • The best solution for structured data and transactional needs
  • Allows relations between tables
  • Can be accessed by many users at the same time

Cons of SQL

  • Need for deep expertise of programming skills: steep learning curve
  • Poorly designed database calls for poorly managed data
  • Some will say that SQL is not easily scaled-out
  • Not the best solution when dealing with data growing exponentially (ex. social media)

2 - NoSQL/NewSQL: The Hipsters

NoSQL refers more to what it is not than to what it is. This database application refers to a language system not using SQL. It is mostly used for unstructured data in situations where the ability of the database to accept (create) or access (get) large amounts of data quickly is required. NoSQL offers great flexibility with alternative data models (ex.: non-relational data, unstructured documents). A good thing is that it doesn't always bother with real-time access to the data. You could be accessing an old version of the data since it was not yet updated. In comparison with other examples of the database application, it is much less rigid than the transactional structure of SQL but it can get much messier! It definitely doesn't respect the ACID properties of SQL. Best known NoSQL systems include MongoDB, Couchbase, and Redis. NewSQL could be referred to as the modern relational databases languages. These are based on the relational database model and the SQL query language but offer better consistency. Some of them offer solid ACID guarantees. Social media platforms such as Facebook, Twitter, or Instagram are the best examples of the use of NoSQL and NewSQL. These require the ability to process astonishing amounts of data very quickly but (mostly) don't need the ACID properties.

Pros of NoSQL/NewSQL

  • Very fast (NoSQL)
  • Not requiring fixed table schemas (NoSQL)
  • Scales horizontally (NoSQL)
  • Stronger consistency (NewSQL)
  • Full transactional support possible (NewSQL)

Cons of NoSQL/NewSQL

  • Not transactional/ACID (NoSQL)
  • Can get messy (NoSQL)
  • Not offering as many development tools as SQL (NewSQL)

This was just a brief introduction to the newest languages.

3 - Excel: Databases or spreadsheets?

Let's get back to the relational databases. Based on the assumption relational databases take the form of tables made of columns and rows, is Excel a database? If you want a really entertaining discussion, drop this question to a bunch of programmers. I suggest you run in the other direction, as it may get real ugly! Most of us will agree that even if Excel and its spreadsheets can be extremely useful, they're not databases. If we look at it objectively, Excel creates spreadsheets. Spreadsheets are in fact tables made of columns and rows. It's the table format that tends to confuse people into thinking that spreadsheets are relational databases. We already agreed on the fact that databases are used for data management. Spreadsheets don't go as far and are mostly used for data storage and analysis. Nonetheless, it is a noble mention in our examples of the database application.

Pros of using Excel

  • Ease of use
  • Short learning curve
  • No programming skills needed
  • Perfect for numerical data
  • Perfect to manage small pools of data
  • Great for data analysis
  • Inexpensive solution

Cons of using Excel

  • Static
  • Only one user at a time can update data
  • Substantial spreadsheets will eventually become tougher to manage and lead to errors in the data
  • One action could break something somewhere without the users realizing it
  • Data stored on your computer (hard drive) versus databases (servers)

4 - Where does Kohezion fit in this picture?

Kohezion is an online database software. It pairs all the pros of the classic databases with the ease of use of an Excel spreadsheet to allow you to design database applications. Out of all our examples of the database application, Kohezion is the most customizable yet easy-to-use solution. Kohezion's backend uses the SQL language and allows ACID transactions but doesn't require its users to use or understand SQL. It is what is called an end-user database as the users are allowed to create their own applications without programming. They can then input data, slice and dice it with the advanced search features, create powerful reports, or even link applications together in a one-to-many relationship. Pivot tables ease up this task considerably. But what is a pivot table? Creating one in Excel requires time and patience, while with Kohezion, you can use the simple drag and drop tool and summarize large amounts of data in a matter of minutes. It is a very powerful tool to manage data without spending much and without relying on programmers.

Pros of Kohezion

  • No programming skills needed
  • Easy to learn
  • DIY database applications
  • Highly scalable
  • Transactional, respects the ACID properties
  • Can be used by many users at a time
  • Offers many features for accessing data (reports, calendars, dashboards, etc.)
  • Data stored in the cloud

Cons of Kohezion

  • No programming language can be used
  • Online only
  • End-user database, cannot be used for classic development

Kohezion is also the better option if you need a database that manages personal health information Read this article if you want to get more information on HIPAA compliant cloud database.

I hope this article helped you understand what are databases, database management systems, and languages. With these examples of the database application, you are now better equipped to make an informed decision as to what tool would work best for your data management needs.

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