Open Source Linux Data Integration Tools - Page 3
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Data Integration Tools for Linux
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$300 Free Credits to Build on Google CloudPut your $300 in credit toward real workloads, then keep building with free monthly usage for 20+ products. No commitment and no charge until you upgrade.
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Fully Managed MySQL, PostgreSQL, and SQL ServerCloud SQL handles your database ops end to end, so you can focus on your app.
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KETL(tm) is a production ready ETL platform. The engine is built upon an open, multi-threaded, XML-based architecture. KETL's is designed to assist in the development and deployment of data integration efforts which require ETL and scheduling
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KubeRay
A toolkit to run Ray applications on Kubernetes
KubeRay is a powerful, open-source Kubernetes operator that simplifies the deployment and management of Ray applications on Kubernetes. It offers several key components. KubeRay core: This is the official, fully-maintained component of KubeRay that provides three custom resource definitions, RayCluster, RayJob, and RayService. These resources are designed to help you run a wide range of workloads with ease. -
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LD-FusionTool
Data Fusion and Conflict Resolution tool for Linked Data
LD-FusionTool covers the Data Fusion step in the integration process for RDF, where data are merged to produce consistent and clean representations of objects, and conflicts which emerged during data integration need to be resolved. -
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Developing a "bridge" to facilitate transfer of data between various databases(ith dis-similar schemas). JDBC and XML would be used.
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Ship Agents FasterGemini Enterprise Agent Platform lets you rapidly build, scale, govern and optimize production-ready agents grounded in your organization's data. The platform enables developers to build custom or pre-built agents for virtually any use case. New customers get $300 in free credits.
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Mara Pipelines
A lightweight opinionated ETL framework, halfway between plain scripts
This package contains a lightweight data transformation framework with a focus on transparency and complexity reduction. Data integration pipelines as code: pipelines, tasks and commands are created using declarative Python code. PostgreSQL as a data processing engine. Extensive web ui. The web browser as the main tool for inspecting, running and debugging pipelines. GNU make semantics. Nodes depend on the completion of upstream nodes. No data dependencies or data flows. No in-app data processing: command line tools as the main tool for interacting with databases and data. Single machine pipeline execution based on Python's multiprocessing. No need for distributed task queues. Easy debugging and output logging. Cost based priority queues: nodes with higher cost (based on recorded run times) are run first. -
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Metl ETL Data Integration
Simple message-based, web-based ETL integration
Metl is a simple, web-based ETL tool that allows for data integrations including database, files, messaging, and web services. Supports RDBMS, SOAP, HTTP, FTP, SFTP, XML, FIXLEN, CSV, JSON, ZIP, and more. Metl implements scheduled integration tasks without the need for custom coding or heavy infrastructure. It can be deployed in the cloud or in an internal data center, and it was built to allow developers to extend it with custom components. -
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Nest Manager
NST Manager (SmartThings)
Nest Manager is a community SmartThings solution that integrates Nest devices—thermostats, Protects, and cameras—into the SmartThings ecosystem via a comprehensive SmartApp and device handlers. It offers a unified dashboard, rich device tiles, and automation hooks so users can monitor and control temperature, modes, and alerts alongside other smart home devices. The project emphasizes usability with guided setup flows, status summaries, and in-app diagnostics to help troubleshoot connectivity or permission issues. It exposes detailed attributes and commands, enabling powerful rules and scenes that coordinate Nest with sensors, presence, and schedules in SmartThings. Historical and environmental data can be surfaced to support energy-aware automations and notifications. For advanced users, it provides granular preferences to tune polling, event verbosity, and safety behaviors, turning SmartThings into a capable hub for Nest-centric homes. -
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OPENSUITE - an integration platform to enable process data integration between independently developed business applications.OPENSUITE integration platform takes advantage of the SOA best integration practices to supply the middleware layer functionality
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Custom VMs From 1 to 96 vCPUs With 99.95% UptimeLive migration and automatic failover keep workloads online through maintenance. One free e2-micro VM every month.
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Ondex Web
Web-based visualisation of networks using Java
Ondex Web is a new web-based implementation of the network visualization and exploration tools from the Ondex data integration platform. New features such as context-sensitive menus and annotation tools provide users with intuitive ways to explore and manipulate the appearance of heterogeneous biological networks. Ondex Web is open source, written in Java and can be easily embedded into Web sites as an applet. Ondex Web supports loading data from a variety of network formats, such as XGMML, NWB, Pajek and OXL -
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Open Information Integration Tool Suite (Open II) is used by analysts and programmers to accelerate data integration and harmonization across organizations. OpenII has a neutral schema repository for browsing and comparing all sorts of data models. OpenII is built as a Rich Client Platform Application on top of Eclipse 3.x. Developers need to download Eclipse, install the RCP support, the Fatjar plugin and the Delta Pack in one of the 3.x flavors. Release Notes Release Date: Jan 2014 Build Version: 1.0.2666 Notes: 1. Now support for AVRO and HCatalog imports 2. Better support for OWL 3. New OWL and Containing Relationship viewers 4. Added case insensitive option in exact matcher for Harmony
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Open Source Data Quality and Profiling
World's first open source data quality & data preparation project
This project is dedicated to open source data quality and data preparation solutions. Data Quality includes profiling, filtering, governance, similarity check, data enrichment alteration, real time alerting, basket analysis, bubble chart Warehouse validation, single customer view etc. defined by Strategy. This tool is developing high performance integrated data management platform which will seamlessly do Data Integration, Data Profiling, Data Quality, Data Preparation, Dummy Data Creation, Meta Data Discovery, Anomaly Discovery, Data Cleansing, Reporting and Analytic. It also had Hadoop ( Big data ) support to move files to/from Hadoop Grid, Create, Load and Profile Hive Tables. This project is also known as "Aggregate Profiler" Resful API for this project is getting built as (Beta Version) https://sourceforge.net/projects/restful-api-for-osdq/ apache spark based data quality is getting built at https://sourceforge.net/projects/apache-spark-osdq/ -
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The aim of this project is to publish releases of Pentaho Data Integration not provided by pentaho.org
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PHPCI
PHPCI is a free and open source continuous integration tool
PHPCI is a continuous integration (CI) server designed specifically for PHP applications. It automates tasks such as testing, code quality checks, and deployment, helping developers maintain code consistency and detect issues early. PHPCI supports various plugins and tools, including PHPUnit, PHPMD, and Codeception, making it highly customizable for different project needs. -
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PaloKettlePlugin is for Pentaho Data Integration aka Kettle. It's a Cell Input und Output Step for Palo Molap. The first code was developed by mybiq/3A-Strategy, the PDI-3 version has been developed by Stratebi. Now by 3A-Strategy and Litebi for PDI
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PhantomJS-Node
PhantomJS integration module for NodeJS
PhantomJS-Node is a Node.js bridge to PhantomJS, enabling programmatic control of the headless browser for tasks like web scraping, automated testing, and page rendering. -
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Pytente
Uma Ferramenta Computacional para Análise e Recuperação de Patentes
O Pytente é uma solução avançada para automatizar o processo de coleta, armazenamento e tratamento de dados bibliográficos de patentes. A ferramenta foi projetada para simplificar a coleta de grandes volumes de dados em repositórios de acesso aberto. O Pytente garante o armazenamento estruturado das informações, além da validação e eliminação de registros duplicados. Dentre as diversas funcionalidades disponibilizadas pela ferramenta, destacam-se a extração personalizada de subconjuntos de dados e a possibilidade de realizar buscas semânticas no conjunto de dados armazenados, sem a necessidade de elaborar expressões lógicas de busca. -
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A lightweight, browsing-based, 100% Python, federated data integration framework. Users may create custom schemas for disparate sources, query and expand results across sources to find related data; for use in fields such as bioinformatics and datamining
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RDF Content Provider for iQser GIN
Plugin to connect RDF sources with the GIN Server
GIN Server is a semantic middleware for easy data integration and automized analysis. The extendable architecture allows to plugin in data sources, analytics and event handling. This RDF Content Provider enables access to Semantic Web Content as an RDF file or SPAEQL endpoint. -
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SnapLogic is an Open Source Data Integration framework that combines the power of state-of-the-art dynamic programming languages with standard Web interfaces to solve today's most pressing problems in data integration.
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Stanford Data Miner
Tools for integration and analysis of heterogeneous immunological data
An extensive description of this system is published in the Journal of Translational Medicine (http://www.translational-medicine.com/). In brief, the system consists of two main web applications, a data integration app and a data exploration app. The data integration app is a fully custom Java "Web 2.0" product called Sherpa. Sherpa uses Seam, a platform integrating Asynchronous JavaScript and XML (AJAX), JavaServer Faces (JSF), the Java Persistence API (JPA), and Enterprise Java Beans (EJB) 3.0. The data exploration app is an open source business intelligence product called JasperServer (version 3.7), customized through supported configuration changes. Both apps use MySQL for back-end data persistence. Currently, the documentation contained herein is not intended to provide comprehensive instructions on installing and configuring the system. Please contact a project administrator for more information. -
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Interoperability enabling tools, for exchanging technical data between companies, or for internal data integration, alpha-numeric, 2D or 3D data. Compatible with ISO 15926 and expressed in ontology using RDF/OWL.
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Steps for Kettle ( data integration by pentaho) to manage ( import and export ) TinyErp information.
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Tracking and reporting system for the processing, monitoring, and enforcement of permits issued by the Oklahoma State Department of Environmental Quality. Features web access, CDX gateway for the EPA, and an automatic document assembly system for Word.
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XAware Data Integration Project
Create XML and JSON data services from any data source
Create services to integrate applications & move data of any type. Build data views across DBMS, SOAP, HTTP/REST, Salesforce, SAP, Microsoft, SharePoint, Text, LDAP, FTP sources to read, write & transfer data. Eclipse designer & run-time engine.
