Open Source Linux Distributed Computing Software
Sort By:
Distributed Computing Software for Linux
View 58 business solutionsBrowse free open source Distributed Computing software and projects for Linux below. Use the toggles on the left to filter open source Distributed Computing software by OS, license, language, programming language, and project status.
-
Gen AI apps are built with MongoDB AtlasMongoDB Atlas provides built-in vector search and a flexible document model so developers can build, scale, and run gen AI apps without stitching together multiple databases. From LLM integration to semantic search, Atlas simplifies your AI architecture—and it’s free to get started.
-
Photo and Video Editing APIs and SDKsUnlock Picsart's full editing suite by embedding our Editor SDK directly into your platform. Offer your users the power of a full design suite without leaving your site.
-
1
Blazegraph (powered by bigdata)
Fast, scalable, robust graph database platform
Blazegraph has moved to Github. Please see https://github.com/blazegraph/database/. -
2
ActiveGrid is an Enterprise Web 2.0 solution that allows the composition of code-free applications that comply with corporate IT standards. Technologies include Python, Java, XForm, Xpath, WSDL, CSS, XML Schema (XSD), XACML, and BPEL.
-
3
Moved to sf.net/projects/cloveretl/ !!! CloverETL is a Java ETL framework which transforms structured or unstructured data. Works as a standalone application or embedded in other applications as a data transformation library of functions.
-
4
OpenHMS brands a collection of projects and many subprojects developed by Health Market Science. This is a robust collection of development libraries, APIs, and tools oriented around data manipulation and professional software development.
-
Build Securely on Azure with Proven FrameworksMoving to the cloud brings new challenges. How can you manage a larger attack surface while ensuring great network performance? Turn to Fortinet’s Tested Reference Architectures, blueprints for designing and securing cloud environments built by cybersecurity experts. Learn more and explore use cases in this white paper.
-
5
Sqlcached is a memory cache daemon, inspired by memcached, but offering more granular control by using SQL interface instead of key-value pairs.
-
6
A framework for building, deploying and managing well-described REST-ful Web services, including REST-ful Web Services realizations for RSS, XML Topic Maps, Structured Arguments, and Workflow.
-
7
The goal of this project is to make possible to access Progress database from any external program that can use sockets. The server (broker and agents) are written in Progress 4GL and made use of sockets capabilities of Progress V9.
-
8
A collection of implementations of the Paxos and FastPaxos algorithms for solving consensus in a network of unreliable processors. Visit http://libpaxos.sourceforge.net/ for more informations
-
9
-
Build Securely on AWS with Proven FrameworksMoving to the cloud brings new challenges. How can you manage a larger attack surface while ensuring great network performance? Turn to Fortinet’s Tested Reference Architectures, blueprints for designing and securing cloud environments built by cybersecurity experts. Learn more and explore use cases in this white paper.
-
10
VJDBC (Virtual JDBC) is a JDBC type 3 driver which provides efficient tunneling of JDBC commands/results over different communication protocols (RMI, HTTP, HTTPS ...).
-
11
Atomatrix is a multithreaded execution system of atomic matrices with a dynamic compiler and a network eviron. It is the next generation object-orientated environment. XML, MUD-OO CLI, GnucDNA support, windows and many subprojects are built-in.
-
12
-
13
Python DB driver for Java JDBC. Allows CPython programs to use a java JDBC driver to connect with a database server. It's API is Python DB compliant. ZJdbcDA (a zope database adapter) is also included.
-
14
Framework for software component integration, interoperability and adoptability through a XML based vocabulary: Software Component Integration Mark-up Language (SCIML)
-
15
Askemos is an autonomous, distributed operating system, which significantly raises the level of abstraction in comparison with todays operating systems. An alternativ, equally valid view is that of an XML object store with procedures in XSLT.
-
16
-
17
Brain Net. A Distributed Search Engine Network. Aims to be a scalable distributed search engine allowing dynamic connection of nodes. Performance depends on bandwidth.
-
18
A unique persistence layer for Java. CODO (Cursor Oriented Data Objects) maps generated Entity interfaces (suitable for DTOs) to a relational database via rendered SQL, reflection and JDBC Cursors where possible - avoiding associations.
-
19
Cheshire3 is a fast Z39.50, SRW, XML search engine, written in Python for extensability and using C libraries for speed. Next generation of the Cheshire system (http://cheshire.berkeley.edu) and designed around a distributable, object oriented model.
-
20
CloudBase is a data warehouse system for Terabyte & Petabyte scale analytics. It is built on top of Map-Reduce architecture. It allows you to query flat log files using ANSI SQL. Visit CloudBase home page for details- http://cloudbase.sourceforge.net
-
21
Colle is the glue of a properly designed web application. It is written on several popular technologies of the Java and XML world including Servlet API, EJB 2.0, XSLT, JDBC, XML Schema, jdom, JAXP and others.
-
22
Cos provides a high level interface to application developers wishing to manipulate objects stored in a corportate wide data source lightweight data entries are manipulated by services that are able to appear and dissapear across the network as needed.
-
23
DBReplicator is a powerful open-source java application for network-based multi-master heterogeneous database replication or filtered synchronization.
-
24
EmGeeGen is a server-client information distribution system, tailored for use with the EmGee role playing system (though the theoretical platform should be useful for a variety of tasks).
-
25
HadoopDB is a hybrid of parallel database and MapReduce technologies. It approaches parallel databases in performance and efficiency, yet still yields the scalability, fault tolerance, and flexibility of MapReduce systems.
