The most common use of the term refers to a database system which uses streaming technologies to handle workloads whose state is constantly changing.
[2] Such real-time databases are useful for assisting social media platforms in the removal of fake news, in-store surveillance cameras identifying potential shoplifters by their behavior/movements, etc.
This ratio indicates how effective the transaction scheduling policy is, with the ultimate goal of meeting deadlines 100% of the time.
A conventional database cannot work under these circumstances because the inconsistencies between the real world objects and the data that represents them are too severe for simple modifications.
An effective system needs to be able to handle time-sensitive queries, return only temporally valid data, and support priority scheduling.
Also, consider how to represent attribute values in the database so that process transactions and data consistency have no violations.
To address issues of obsolete data, the timestamp can support transactions by providing clear time references.
Throughout this article, we assume that the system has a single processor, a disk based database, and a main memory pool.
A system that correctly perceives the serialization and timing constraints associated with transactions with soft or firm deadlines, takes advantage of absolute consistency.
An additional way of dealing with conflict resolution in a real-time database system besides deadlines is a wait policy method.
The latter method helps increase the accuracy of the system and can cut down on the number of necessary processes that are aborted.
Problems like these are not very common because omnipotence of the system is required before assigning deadlines to determine worst case.
With large real-time databases, buffering functions can help improve performance tremendously.
A buffer is part of the database that is stored in main memory to reduce transaction response time.
In order to reduce disk input and output transactions, a certain number of buffers should be allocated.
The goal is to eliminate search time and distribute the resources between buffer frames in order to access data quickly.
Real-time databases may be modified to improve accuracy and efficiency and to avoid conflict, by providing deadlines and wait periods to insure temporal consistency.
[16] The amount of research studying real-time database systems will increase because of commercial applications such as web based auction houses like eBay.
This also enables new technologies such as web-video conferencing and instant messenger conversations in sound and high-resolution video, which are reliant on real-time database systems.
Studies of temporal consistency result in new protocols and timing constraints with the goal of handling real-time transactions more effectively.