Projects

Eclipse SMILA

claimed by Eclipse Foundation

The amount and diversity of information is growing exponentially, mainly in the area of unstructured data, like emails, text files, blogs, images etc. Poor data accessibility, user rights integration and the lack of semantic meta data are constraining factors for building next generation ... [More] enterprise search and other document centric applications. Missing standards result in proprietary solutions with huge short and long term cost. SMILA is an extensible framework for building search solutions to access unstructured information in the enterprise. Besides providing essential infrastructure components and services, SMILA also delivers ready-to-use add-on components, like connectors to most relevant data sources. Using the framework as their basis will enable developers to concentrate on the [Less]

UltraESB

The UltraESB is a Free and Open Source Enterprise Service Bus [ESB] that facilitates the integration of different systems. Integration is facilitated via "messages" which maybe HTTP/S messages (such as SOAP, REST, JSON, XML, Hessian, AS2, HTML, Binary, Text etc) or messages over many other ... [More] transports such as JMS, Email, TCP, MLLP/S etc, or Files FTP/S, SFTP etc. Messages may carry different types of payloads such as SOAP, XML, Text, CSV, EDI, HL7, JSON, Maps etc., and the UltraESB can accept messages over one transport in one format, and forward it to another system over another transport and another format. Messages passing through the UltraESB can be "mediated" via fragments of Java code or JSR 223 Scripting languages such as Ruby,Groovy,Javascript,etc. It supports Java IDE integration. [Less]

Storm Project

Storm is a free and open source distributed realtime computation system. Storm makes it easy to reliably process unbounded streams of data, doing for realtime processing what Hadoop did for batch processing. Storm is simple, can be used with any programming language. Storm is fast: a benchmark ... [More] clocked it at over a million tuples processed per second per node. It is scalable, fault-tolerant, guarantees your data will be processed, and is easy to set up and operate. Storm integrates with the queueing and database technologies you already use. A Storm topology consumes streams of data and processes those streams in arbitrarily complex ways, repartitioning the streams between each stage of the computation however needed. [Less]