In today’s data-driven business environment, the need for fast access to information is more vital than ever before. Effectively analysing these details plays a key role in driving organisations’ strategies and ensuring that customers receive the highest-quality personalized service.
As a result of this, many companies are discovering their existing legacy database solutions are ill-equipped to deal with their new demands. In order to effectively compete in the current market, the ability to read and write data at high-speed is essential, but it is something many traditional tools lack.
The need for lightning-fast access
In order to provide the most relevant results, the modern breed of big data applications need to be able to input huge quantities of information very quickly and analyse them in order to provide instant results. Constant demands for real-time and predictive information mean that any delays in delivering results from data analytics may see key opportunities for gaining revenue pass businesses by.
Businesses using relational database management systems in particular may notice degradations in performance as they scale up to handle large volumes of data. One of the key reasons for this is they have to deal with the ‘impedance mismatch’ between modern object-oriented development technologies and the rows-and-columns data structures used on disk. To handle this, many companies simply add hardware to increase throughout – which can lead to highly complex, expensive, difficult to manage systems.
The Cache solution
A modern Cache database can answer many of these issues. This is a new generation of ultra-high performance database that combines an object database, high-performance SQL, and a powerful multidimensional data access. All of these use data that is only described once in a single integrated data dictionary and can access this information simultaneously.
As a result of this, users of Cache databases can take advantage of lightning-fast performance, comprehensive scalability, and robust reliability, all with minimal maintenance and hardware requirements.
Benchmark tests of an application based on Cache technology revealed a sustainable rate of 8.9 million database accesses per second, with a peak of 16.9 million accesses per second. This is a level of performance that was previously unheard of for an object database, and gives users all the speed benefits of an in-memory database, without the drawbacks – such as the lack of reliability that can be caused by the fact they do not persist data.
Go beyond a database
Cache also offers users much more than just a lightning-fast database to cope with big data environments. The tool goes beyond traditional databases with the incorporation of a rich environment for developing browser-based web applications. Cache Server Pages technology allows the rapid development and execution of dynamically generated Web pages, while thousands of simultaneous web users are able to an access database applications, even on low-cost hardware.
It provides several built-in scripting languages: Cache ObjectScript, a powerful yet easy-to-learn object-oriented programming language; Cache Basic, a superset of the widespread Basic programming language, and Cache MVBasic, a variant of Basic used by MultiValue applications. Other key languages such as Java, C#, C++ and .NET are also supported through direct call-in to give developers all the tools they need to create ultra-high performance solutions.