数据共享和交互与其他应用程序:在关系数据库的另一大优点是能够与多个应用程序交互,获取的数据通过查询是一个简单但有效的方法从关系数据库。上面讨论的锁定机制有助于维护数据完整性与多个应用程序交互。如果一个应用程序修改数据,数据只会给读了其他应用程序的唯一目的。因此,修改更新、插入、删除等的管理和数据并行修改是可以避免的。关系数据库的另一个重要方面就是将数据库分成更小的分布式块,可以包含本地信息,访问更频繁的基础上比其他信息。通过将GIS数据库分布式数据库,它提高了性能。拥有一个非数据库方法技术的分布式系统是高度复杂的,因为它会变得难以维护数据的完整性,但在关系数据库的所有数据在哪里在同一位置,分布式系统容易实现,这是支持这种新技术的一大因素。性能:唯一使用这种方法的缺点是性能。非数据库方法是有效时的性能。geoManager这个问题也解决了,可以在不同的格式提取数据解释以上,因此在处理请求有效。虽然非数据库更快处理单个请求时,图形信息存在于专业数据库、基于对象的方法是有用的对于复杂的请求。这一创新是很大的帮助,因为它是几乎不可能有一个GIS。关系数据库交互有助于不同GISs和非GIS应用程序和维护数据完整性在同一时间。IBM的贡献和geoManager的作用在这方面发挥了至关重要的作用(阿德勒,2001)。克服了上述缺陷的引入两种不同类型的数据格式是用于网络传输数据。光栅格式:格式、数据传输网络就像一个已知大小的图像。这是安全的因为只有图像转移,可以做任何修改。光栅格式遭受许多缺点,单一对象不能突出图像的光标移动的图像。有其他字体大小的问题。
Data sharing and interaction with other application: Another big advantage of having relational database is the ability to interact with multiple applications, as fetching of data by querying is a simple yet effective way from relational database. The locking mechanism discussed above helps in maintaining data integrity when interacting with multiple applications. If one application is modifying the data, the data will be only present for read only purpose by other applications. Thus, modifications like updating, insertion, deletion, etc. of data is managed and parallel modifications are avoided. Distributed system: Another important aspect of relational database is to break the database into smaller distributed chunks, which can contain local information, which is accessed on more frequent basis than other information. By breaking the GIS database into distributed databases, it improves performance. Having a distributed system for non- database approach technology was highly complex as it would become difficult to maintain data integrity, but with relational database where all the data is at the same location, distributed systems were easily implemented, which was one of the big factor favouring this new technology. Performance: The only disadvantage in the use of this approach was performance. Non-database approach was efficient when it comes to performance. This issue was also solved by geoManager, which can extract the data in different formats explained above and hence was efficient in processing requests. Though non-database was faster while processing single request, as graphical information is present in specialized databases, object-based approach was useful for complex requests. This innovation was of great help as it was nearly impossible to have a single GIS. A relational database helped in interacting different GISs and non GIS applications and maintaining data integrity at the same time. IBM’s contribution and the role of geoManager played a vital role in this area (Adler, 2001). The above drawbacks were overcome by the introduction of two different types of data format which were used to transfer data over internet. Raster format: In this format, data was transferred over internet like an image of known size. It was secure as only image was transferred and no modification can be done on it. Raster format suffer from many disadvantages as that single objects could not be highlighted in the image by moving cursor over the image. There were other problems of font size as well.