Database Management Systems advantages – Considered at the heart of operational and analytical business systems, database management system advantages plays a very important role in not just the functioning of an organization but in its security as well. As data is considered the lifeblood of not just multiple organizations but economies as well, database management system advantages takes on an even bigger and important role.
The database management system advantages in the earlier period required data to be structured so that it could help in the manner that it was accessed and stored. This means that data which was stored in database records were linked to relevant data via pointers namely hierarchical and network databases.
However, in this system, flexible access to data was not fast though the speed of data management access was relatively fast. With time the cost of data storage reduced making it possible to store data in tables more flexible. This eliminated data redundancy while at the same time provide easier access to data. That is why most of the database management systems example solutions in the industry are flexible in nature.
Database types which are the where data is stored, managed and secured for multiple uses and database management system example applications, is of prime importance, for organizations across all sectors.
However, there are different forms and types of database management systems advantages, each with their own set of strength and weakness. Understanding the requirements of the company and data demands are the among the first steps that will help users choose the best database management system advantages.
Database management systems example;
This article highlights some of the major database management systems example that are available in the market:
This type of database system was the norm in the IT industry more than 30 years ago when low-cost servers were considered to be extremely powerful. However, with the rapid growth of web technology and expanding growth of computers, these databases were unable to sustain the demands in a proper manner.
That is why IT departments which process a lot of unstructured data/datasets with a highly variable structure are considering NoSQL technologies. In addition, applications that depend on rapid speed transactions and fast response rate or for that matter applications that require complex analytics on data in real time, are more suited for databases that are in-memory in nature.
That is why many IT departments are combining multiple database technologies to successfully meet their processing needs. A database management system example is central for all applications, choosing the right database technology can spell failure and success for the IT systems and projects.
As the database industry is complex and blurred, understanding the numerous types of database types will help IT professionals to choose and use the right system in an effective manner.
So while relational database types were the only category of database management system example that was available for purchase, today the new trends in big data has resulted in the creation of new types of database management system example products that are more than capable of handling the complex requirements of the industry. While this has complicated the database industry, it has effectively created database management system example solutions as well.
The relational database types have evolved itself in many ways, so as to become the undisputed leader, both in terms of installed base and revenue.
As this system is based on the sound mathematics of set theory, provides storage, access, and protection with reasonable performance for multiple applications, both analytical and operational in nature, database systems are used by industry giants like Oracle, Microsoft, and IBM as well.
As this system can be adapted in most cases, many Fortune 500 companies have been using relational based management system for many years. As relational database management system example performs a wide range of the system, they are definitely a bit high in cost.
A compelling feature of relational database types management is support for ensuring transactional atomicity, consistency, isolation, and durability, together know as ACID which ensures that all database types functions in this system are completed in a correct manner and restored to its previous correct functioning point if something goes wrong at any point.
NoSQL database management system advantages
While a rational database management system requires a rigidly defined schema, a NoSQL database management system example allows IT, manager, to function in a flexible schema, where not every data element needs to exist in every entity. Further, a NoSQL database management system example is a practical solution for those IT systems that have a loosely defined data structures that can evolve over a period of time.
Another difference between a relational database management system types and NoSQL is data consistency. While relational database types can ensure that data is stored in a consistent manner, NoSQL database management system offers a consistent approach to data management.
In addition, the most relational database types offer different levels of locking, consistency, and isolation, many NoSQL database management tools is offering multiple options that support full ACID compliance.
This means that NoSQL systems are capable of addressing some problems caused by relational data management systems, making it easier to function with sparse data that are large in number.
Data is considered to be sparse when there are lots of spaces between the actual value and not every element is populated. So while certain cases can benefit from the NoSQL approach, it can come at the cost of eliminating transactional integrity, flexible indexing, and ease of queuing.
In addition, as NoSQL is not a specific type of database management system types of structure, but a broad descriptor of four different database management system types offering namely key value, document, column store, and graph, it can complicate the overall data issue.
This means that each type of NoSQL database management system types of functions with a different data model that would, in turn, have different work cases, advantages, and weakness. Overall this means that a thorough evaluation of each NoSQL database system technology is needed to know whether it will work for a particular case or not.
In Memory database management system
Another category of database types that is available in the market is an in-memory database management system types. Sometimes referred to as a main memory database system, it relies on memory to store data, rather than on disk-based storage.
One of the primary benefits of an in-memory database system is that it improves performance, mainly due to the fact that I/O latency is reduced due to the fact that data is maintained in memory as compared to disk storage.
In addition, as data is accused from the memory, it removes mechanical disk movements and eliminates transfer to a buffer as well. While a traditional database system is optimized to access data from a disk, an in-memory data management system can be optimized to access data in memory. This means that in-memory database management system types can reduce overhead because there are simpler internal algorithms and fewer CPU instructions.
Another type of database management system advantages that exists is the multi-model database system. This system supports more than one storage engine. Many NoSQL offers to support more than a single database management system types data model like key value and document. Some other categories of database management system types that exist include the following, though they are not as popular as the ones mentioned above.
XML Database management system advantages are architected to support XML data. However as most relational database management system types provide XML support, their popularity is pretty limited. Another category of a database system is an SQL database system that is optimized for reading a few columns and rows at the same time. However, this system is not optimized for writing data. An object-oriented database management system had become popular in the 1990s and was designed to work with OO programming languages.
Besides the above categorization, database management systems can also be characterized under the following three categories as well:
Hierarchical Database Management System
This type of database management system advantages operates in the parent-child tree model. Ideal for storing data with items that describe attributes and features, hierarchical database management system advantages normally have a 1; N relationship.
These systems can be used to store a book with information about verses and chapters or a starves of songs, recipes, models of computers; in short anything that can be written in the nested format. However, hierarchical database management system advantages are not efficient for solving real-world operations.
Network Database Management System types
This system uses a data model that is similar to the hierarchical database management systems advantages. What sets them apart from each other is that the tree structure in the network models can have multiple parents to child relational model.
Based on records and sets, most of the network database system uses SQL for data manipulation. They tend to be very flexible and were quite common within the industry during the 1960s and 1970s.
In this model, however, searching for a data is quite a cumbersome task as the programme would have to traverse the entire system. Network database management system advantages have been replaced in modern computing by relational database management system advantages.
Object-Oriented Database Management System
In the object-oriented database system, the object and its data/attributes are seen as one and accessed through pointers, rather than stored in a relational table model. As the database management system advantages models are diverse in structure, they are quite extensible as well.
Designed to work closely with programmes built with object-oriented programming languages, this system allows data and the programme to function as a single unit.
This means that model database types applications can treat data as a native code though there is a little commercial installation of this system, simply because they are still new in nature and still developing. IBM DB4o and DTS/S1 from Obsidian Dynamics are some examples of database management systems advantages.
So how to choose an appropriate database system?
The database types landscape is pretty complex and complicated. That is why it is important that the IT industry personnel carefully consider their situation before installing any kind of system.
The first thing to consider is the platform support or computing systems. Some of the major computing systems include Windows, Unix, and Linux. It is important to remember that not all database system function on all platforms, and choosing one that does not work on your system can prove to be a costly mistake.
Another point to keep in mind is the vendor support. As many database systems are based on open source, particularly in the NoSQL systems, vendor support is extremely critical.
This is because database management open source systems have increased flexibility and reduce the initial cost of ownership. But it is important to remember that database management open source system lack support unless they are purchased from a commercial distributor. In addition, related administration, support, and ongoing costs are going to increase the total cost of ownership as well.
Further, database management system advantages users can reduce the complexity involved with acquisition and support of database system by deploying a cloud or database appliance. A database appliance is a preinstalled database system that is configured and optimized for database management system advantages applications.
This can dramatically reduce the cost of implementation and support because it combines the software and hardware are combined to work together in an effective fashion. In case, users do not want to buy a database management system advantages application they can approach a cloud database service provider to implement the database while using the service of the provider.
Overall if your company is considering a database system, it is important to consider the requirements and demands of the project. This is because additional details on each type of database systems and understanding the specific use cases of each database technology can go a long way in helping the users to choose and implement the right system.
It, therefore, goes without saying that there are many things that need to be evaluated before procuring a database system software as they can have a lot of effects on the success and failure of the entire project.