Database Management Systems are highly useful tools for maintaining enterprise data and records. Nowadays, DBMS is an essential system for enterprises in all industries, which provide a lot of advantages in terms of effective database management and decision making.
Even though there are many advantages to DBMS, there are some disadvantages too, which you need to be aware of to tackle those disadvantages to reap out the best benefits of your database administration process. When we say disadvantages of DBMS, most of those listed below are specifically the disadvantages of in-house database administration, which could be tackled the best by taking remote DBA services for your enterprise database administration.
Disadvantages of DBMS
1. The increased cost of software and hardware
To ensure the storage of a considerable volume of ever-growing data, you need to maintain a vast server space. This does come at a cost. Adding to it, you may require more processing power and memory to get the desired benefits out of the database. All these require the procurement of expensive software and hardware to run these facilities as needed. So, as a result of fulfilling these needs, it can imply a high cost for you. Along with it, there is always a needs to upgrade the file-based systems and also upgrade the technology from time to time, which all are costly affairs.
So, database management requires a high investment initially for the add-on hardware and software needed for it, and it implies a considering spend in terms of its maintenance. In fact, by availing of remote database administration services and relying on cloud storage vendors, a considering amount of these expenses can be brought down.
2. The increased cost of recruitment of experts
To maintain an in-house DBMS properly, there is also the need for excerpt staff, including experience database administrators, DB application programmers, system analysis, database designers, architects, and maintenance professionals. All these skilled profiles are highly paid as the qualification and experience level of these experts go up. Along with it, the cost of training these professionals to keep them updated about the latest technological advancements too incurs a high cost on the go.
3. Data conversion cost
In a typical database environment, data conversion may be anytime needed. You will find it surprising that the conversion cost of data may sometimes even more than the hardware and systems cost combined. To execute a data conversion project, you need to recruit highly trained experts and various systems and tools to ensure a foolproof conversion process. This is the primary reason why many enterprises are remaining on their legacy old database management systems than thinking of moving on to the latest DBMS available. However, if you plan to get expert help in choosing cost-effective remote DBMS support, please contact RemoteDBA.com experts.
4. The complexity of the process
As we can see, a standard database system will help fulfill many requirements, but these needed to be executed through complicated steps and procedures to be successful. So, while administering database-related applications, there are always possibilities of technical issues and failures. All these features and functionalities usually make the DBMS applications very complex and challenging to understand. Not only the DBAs, but the developers, designers, and even the end-users need to possess practical skills to deal with the database tasks properly.
If the users and others involved do not understand DBMS’s complicated system, it may ultimately end up in a database failure. As any standard database requires proper management and care, this complexity becomes a challenge for in-house admins and users in the enterprise IT environment.
5. Database failures
Even on setting up and maintaining the database correctly, there are many instances where a database may fail. Once it is established, the data stored in the database plays a crucial role in the organization’s well-being, and in case if it is lost, the organization may collapse. In standard DBMS systems, all the given files tend to be stored in a single database when it is hosted in-house, so the chances of a database failure are also high.
Any accidental failure or manual errors may also end up in the loss of your valuable data. So, this is a big challenge for firms of any size, which are always working to resolve such issues. When it comes to outsourcing the database administration to remote DBA services, these risks are mitigated up to an extent as the data storage becomes decentralized. The assistance of expert consultants at the provider end will eradicate any chances of a potential database failure.
6. The vast size of enterprise DBs
The use of a DBMS is to handle a massive volume of data and execute a vast number of queries at a time. However, due to this complexity involved in reading and writing data, the DBMS will also tend to grow big over time. As the data size becomes bigger over time, it will start demanding more space and memory to run the dependent applications effectively.
Most of the previous generation database lacks on-demand scalability, which means each time you need to scale up your database, it becomes a time consuming and costly process. However, many modern-day databases are highly scalable, which, when combined with the DBaaS (database as a service) providers, offer highly cost-effective solutions to the clients.
7. Challenging back and recovery
The database needs to handle a lot of user accounts and queries concurrently. Over time, it becomes difficult to get back to the same stage of the DB if a failure occurs. This further may cause a lot of problems in the smooth run of the database-centered enterprise applications. Most of these challenges are associated with the backup and recovery of lost or corrupted data.
This issue is more critical when you handle the database as a single application, making it difficult to recover and restore the database to its original state. The solutions are decentralized cloud storage and usage of reliable third-party tools to recover data in case of a failure.
Other disadvantages vis-à-vis challenges of in-house enterprise database administration may include, by not limited to, privacy and security threats, database confidentiality needs, ensuring data integrity, increased data vulnerability, lower efficiency in application performance based on the availability of data, etc.