Transactions for the REST of Us. SOAP vs REST in the service layer for mobile applications. With the surge in native mobile applications and the advent of players like Android, IPhone, Palm and other big players into this market, providing frameworks to develop applications native to the device, it is important for developers to understand performance implications for every operation that the application is going to perform. The service layer has always been a most important factor for any enterprise as that is where they have put all their money in. During the last ten years, organizations have made significant investments in SOAP-based infrastructure such as Enterprise Service Buses (ESBs) and Business Process Management (BPM) software based on WS-BPEL. The SOAP binding will allow organizations to leverage those investments in building interoperable content repositories. Within the enterprise and in B2B scenarios, SOAP is still very attractive.
This is not to say that REST is not enterprise ready. Verdict: SOAP Verdict: ReST Verdict: SOAP/ReST Who uses ReST? Who uses SOAP? Facilitating the spread of knowledge and innovation in enterprise software development. TheServerSide.com: your Java Community discussing server side development. Open Source - SOA, Cloud Computing, Java PaaS | WSO2 Oxygen Tank. Javalobby | The heart of the Java developer community. JAXenter - Java Development & Software Architecture. Java Everything!
Google Tech Talks. Event Driven Architecture. AggregateOrientedDatabase. Database ยท noSQL tags: One of the first topics to spring to mind as we worked on Nosql Distilled was that NoSQL databases use different data models than the relational model. Most sources I've looked at mention at least four groups of data model: key-value, document, column-family, and graph. Looking at this list, there's a big similarity between the first three - all have a fundamental unit of storage which is a rich structure of closely related data: for key-value stores it's the value, for document stores it's the document, and for column-family stores it's the column family.
The rise of NoSQL databases has been driven primarily by the desire to store data effectively on large clusters - such as the setups used by Google and Amazon. An aggregate also makes a lot of sense to an application programmer. An aggregate makes for a much simpler mapping - which is why many early adopters of NoSQL databases report that it's an easier programming model.