Alright. So how does WAMP stack up versus other technologies Do we really need another wheel Yes. Please read below to find out why we think so. Below youll find a table comparing WAMP to other technologies according to six criteria. Pub. Sub. Does it support Publish Subscribe out of the boxRPCDoes it support Remote Procedure Calls out of the box Routed RPCDoes it support routed not only point to point Remote Procedure Calls Web native. Does it run natively on the Web without tunneling or bridging Cross Language. Does it work from different programming languages and run timesOpen Standard. Is there an open, official specification implemented by different vendors See also. Web Technologies for the Internet of Things. A master thesis which contains a comparison of WAMP, MQTT, Co. AP, REST, SOAP, STOMP and MBWS for Io. T applications. AJAXAJAX is neither a protocol nor. API, but a programming pattern for Java. Script in browsers that uses HTTP requests. RPC like communication between frontends browsers and backends. AJAX being a programming practice, isnt a complete RPC system either. You need to agree. See JSON RPC and XML RPC. Thrift Serialization Example Java' title='Thrift Serialization Example Java' />Even when you bake some RPC mechanism using AJAX techniques, this is point to point RPC. Further, AJAX does not provide Pub. Sub in fact, it doesnt address how to actively push any. Comet. Since AJAX uses plain HTTP for wrapping any kind of RPC like messages, it suffers. HTTP. E. g. you cannot have more than. RPCs, as browsers will limit the number of HTTP connections to a single. Top. Apache Thrift. Apache Thrift is a cross language RPC system. It uses a statically typed approach where procedures first need to be described using. Interface Definition Language. Compared to WAMP, Apache Thrift only provides RPC as an application messaging pattern, not Pub. Sub. While Thrift uses a statically typed approach involving IDLs and code generation, WAMP follows. There is no IDL and no code generation. Instead, WAMP will provide run time reflection capabilities instead. Different from WAMP, Thrift also only runs over raw TCP and cannot natively run over the Web. It is designed for communication within the data center, between backend. Similar to WAMP, Apache Thrift features different serialization formats, and also is able to. WAMP currently offers two serializations JSON and Msg. Pack. and can run over standard, compressed Web. Socket permessage deflate to further reduce wire traffic. Apache Thrift currently has a lot more language bindings than WAMP and is usedpushed by Facebook. Top. CORBACORBA is a. CORBA Notification Services. Top. Java Message Service JMSJava Message Service JMS is. Java API specification for an abstract Pub. Sub service. Programs are written in Java against the JMS API. JMS does not provide RPC but see Java RMI. JMS does not guarantee interoperability between implementations, and the JMS compliant messaging. In contrast, WAMP is a wire level protocol specification. Conforming WAMP implementations will. Top. OPC UAOPC UA is protocol and communication stack with roots in industrial automation. Its an open standard with a complex and abstract set of specifications that have different conrete mappings or bindings, eg for the transport layer there are two transport layer bindings defined. OPC UA UA TCP runs over port 4. The binary format is proprietory to OPC UA it is not used anywhere else. When using OPC UA with UA TCP as a transport, the resulting protocol cannot traverse the Web and cant be implemented eg in browsers. UA TCP is a bandwidth efficient transport, and can transport binary payload natively without escaping. OPC UA UA SOAP is based on HTTPSOAP, runs over ports 8. XML enoded payload. When using OPC UA with UA SOAP as a transport, the resulting protocol can traverse the Web and can be implemented in browsers. UA SOAP suffers from excessive verbosity and inefficient use of wire bandwidth. Binary payloads can only be transmitted in reencoded escaped form. OPC UA, both when using UA TCP and UA SOAP transports, suffer from open ports requirement each and every devicemachine, running an OPC UA server, has to open a listening port for incoming OPC UA client connections. This is a security issue, since the attack surface now is the whole collection of all devices and machines. It is also a networking issue, since OPC UA servers need to be directly reachable from OPC UA clients, and firewalls, NATs and proxies will hide OPC UA servers. DataFrameDataFrame Operations DataFramesScalaJavaPythonScalaJava. Pratice Hadoop questions and answers for interviews, campus placements, online tests, aptitude tests, quizzes and competitive exams. Fork Me on GitHub The Hadoop Ecosystem Table This page is a summary to keep the track of Hadoop related projects, focused on FLOSS environment. Jar File Download examples example source code Organized by topic. Jar File Download a. Tunerpro Definition Files. I3kOVTMlgmpSEEh_QFCK5w.png' alt='Thrift Serialization Example Java' title='Thrift Serialization Example Java' />Apache Thrift. Andrew Prunicki, Senior Software Engineer Object Computing, Inc. OCI Introduction. Thrift is a framework for creating interoperable and scalable. And finally, its a coupling issue, since the host names IP addresses of all OPC UA servers machinesdevices need to be known to or discovered by OPC UA clients, which introduces a coupling between application code and infrastructuredeployment artifacts the hostnames IP addresses. OPC UA servers can provide Notification services that are roughly modeled after a Publish Subscribe model. However, OPC UA clients have to poll for notifications and cannot receive events asynchronously and in real time. Increasing the polling frequency reduces the latency between the occurence of an event in the machine a change of a value in the node tree of an OPA UA server and the actual reception of the event in an OPC UA client via a response to a polling request on a subscription, but the tradeoff is an increase in the wire traffic as well polling when no change occured. Top. RESTREST is neither a library, nor protocol or framework. Its a software architecture style. REST stands for Representational State Transfer and assumes that data should be transfered over network in one of the standard formats like HTML, XML or JSON and follows an architecture based on 6 limitations. Uniform Interface. Stateless. Cacheable. Client Server. Layered System. Code on Demand optional. In a World Wide Web, RESTful systems use URL for an information unit address, and http status codes for corresponding CRUD operations. It is difficult to compare the WAMP protocol and a software architecture paradigm. They both are multilayered and can use different data presentation format. But one of the clearest difference is that WAMP is bidirectional, while REST pattern is not. In RESTful applications only client acts as initiator for data manipulations, and there is no options about how server can send data to client. In contrast to this, WAMP workflow allows data to be transfered to and form server. Another difference is that REST deliberately uses URLs from the HTTP scheme which serve a dual function of identifying and addressing resources. With WAMP, URIs are formed com. NOT address the procedure to be called. This means, the implementation of the procedure can reside anywhere its location is only known to the WAMP router. This provides location transparency for WAMP application components. There is no problem to use WAMP and REST together. For example, you can make basic CRUD operations over HTTP using GETPOSTPUTDELETE methods, and in parallel, use WAMP Pub. Sub service for notifications about changes, and WAMP RPCs for making some explicit business logic operations like sending SMS, or batch picture resizing and so on. SOAPSOAP is a. Being based on XML Information Set and XML for serialization, SOAP is extremely. Any kind of binary application payload. Further, parsing and serialization. XML can produce significant CPU loads. For these reasons alone, SOAP. Io. T and mobile. SOAP usually runs over HTTP or SMTP as a transport. Recently, Microsoft. SOAP over Web. Socket. Ecosystem of Hadoop Animal Zoo. Hadoop is best known for Map Reduce and its Distributed File System HDFS. Recently other productivity tools developed on top of these will form a complete Ecosystem of Hadoop. Most of the projects are hosted under Apache Software Foundation. Hadoop Ecosystem projects are listed below. Hadoop Common A set of components and interfaces for Distributed File System and IO serialization, Java RPC, Persistent data structures http hadoop. Hadoop Eco. System. HDFS A distributed file system that runs on large clusters of commodity hardware. Hadoop Distributed File System, HDFS renamed form NDFS. Scalable data store that stores semi structured, un structured and structured data. Hdfs. User. Guide. HDFSMap Reduce. Map Reduce is the distributed, parallel computing programming model for Hadoop. Inspired from Google Map Reduce research paper. Hadoop includes implementation of Map Reduce programming model. In Map Reduce there are two phases, not surprisingly Map and Reduce. To be precise in between Map and Reduce phase, there is another phase called sort and shuffle. Job Tracker in Name Node machine manages other cluster nodes. Map Reduce programming can be written in Java. If you like SQL or other non Java languages, you are still in luck. You can use utility called Hadoop Streaming. Hadoop. Map. Reduce. Hadoop Streaming A utility to enable Map Reduce code in many languages like C, Perl, Python, C, Bash etc., Examples include a Python mapper and AWK reducer. Avro A serialization system for efficient, cross language RPC and persistent data storage. Avro is a framework for performing remote procedure calls and data serialization. In the context of Hadoop, it can be used to pass data from one program or language to another, e. C to Pig. It is particularly suited for use with scripting languages such as Pig, because data is always stored with its schema in Avro. Apache Thrift Apache Thrift allows you to define data types and service interfaces in a simple definition file. Taking that file as input, the compiler generates code to be used to easily build RPC clients and servers that communicate seamlessly across programming languages. Instead of writing a load of boilerplate code to serialize and transport your objects and invoke remote methods, you can get right down to business. Hive and Hue If you like SQL, you would be delighted to hear that you can write SQL and Hive convert it to a Map Reduce job. But, you dont get a full ANSI SQL environment. Hue gives you a  browser based graphical interface to do your Hive work. Hue features a File Browser for HDFS, a Job Browser for Map ReduceYARN, an HBase Browser, query editors for Hive, Pig, Cloudera Impala and Sqoop. It also ships with an Oozie Application for creating and monitoring workflows, a Zookeeper Browser and an SDK. Pig A high level programming data flow language and execution environment to do Map Reduce coding The Pig language is called Pig Latin. You may find naming conventions some what un conventional, but you get incredible price performance and high availability. Ja. QL JAQL is a functional, declarative programming language designed especially for working with large volumes of structured, semi structured and unstructured data. As its name implies, a primary use of JAQL is to handle data stored as JSON documents, but JAQL can work on various types of data. For example, it can support XML, comma separated values CSV data and flat files. A SQL within JAQL capability lets programmers work with structured SQL data while employing a JSON data model thats less restrictive than its Structured Query Language counterparts. JAQL in Google Code. What is Ja. QL by IBMSqoop Sqoop provides a bi directional data transfer between Hadoop HDFS  and your favorite relational database. For example you might be storing your app data in relational store such as Oracle, now you want to scale your application with Hadoop so you can migrate Oracle database data to Hadoop HDFS using Sqoop. OOZIE Manages Hadoop workflow. This doesnt replace your scheduler or BPM tooling, but it will provide if then else branching and control with Hadoop jobs. Zoo. Keeper A distributed, highly available coordination service. Zoo. Keeper provides primitives such as distributed locks that can be used for building the highly scalable applications. It is used to manage synchronization for cluster. HBase Based on Googles Bigtable, HBase is an open source, distributed, version, column oriented store that sits on top of HDFS. A super scalable key value store. It works very much like a persistent hash map for python developers think like a Dictionary. It is not a conventional relational database. It is a distributed, column oriented database. HBase uses HDFS for its underlying. Supports both batch style computations using Map Reduce and point queries for random reads. Cassandra A column oriented No. SQL data store which offers scalability, high availability with out compromising on performance. It perfect platform for commodity hardware and cloud infrastructure. Cassandras data model offers the convenience of column indexes with the performance of log structured updates, strong support for de normalization and materialized views, and powerful built in caching. Flume A real time loader for streaming your data into Hadoop. It stores data in HDFS and HBase. Flume channels data between sources and sinks and its data harvesting can either be scheduled or event driven. Possible sources for Flume include Avro, files, and system logs, and possible sinks include HDFS and HBase. Mahout Machine Learning for Hadoop, used for predictive analytics and other advanced analysis. There are currently four main groups of algorithms in Mahout recommendations, a. Mahout is not simply a collection of pre existing algorithms many machine learning algorithms are intrinsically non scalable that is, given the types of operations they perform, they cannot be executed as a set of parallel processes. Algorithms in the Mahout library belong to the subset that can be executed in a distributed fashion. Listofmachinelearningalgorithmshttps www. Fuse Makes the HDFS system to look like a regular file system so that you can use ls, rm, cd etc., directly on HDFS data. Whirr Apache Whirr is a set of libraries for running cloud services. Whirr provides a cloud neutral way to run services. You dont have to worry about the idiosyncrasies of each provider. A common service API. The details of provisioning are particular to the service. Smart defaults for services. You can get a properly configured system running quickly, while still being able to override settings as needed. You can also use Whirr as a command line tool for deploying clusters. Giraph An open source graph processing API like Pregel from Google https giraph. Chukwa Chukwa, an incubator project on Apache, is a data collection and analysis system built on top of HDFS and Map Reduce. Tailored for collecting logs and other data from distributed monitoring systems, Chukwa provides a workflow that allows for incremental data collection, processing and storage in Hadoop. It is included in the Apache Hadoop distribution  as an independent module. Drill Apache Drill, an incubator project on Apache, is an open source software framework that supports data intensive distributed applications for interactive analysis of large scale datasets. Drill is the open source version of Googles Dremel system which is available as an Iaa.