Open Source Linux Data Integration Tools - Page 2
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Data Integration Tools for Linux
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COMA Community Edition
Schema Matching Solution for Data Integration
COMA CE is the community edition of the well-established COMA project developed at the University of Leipzig. It comprises the parsers, matcher library, matching framework and a sample GUI for tests and evaluations. COMA was initiated at the database chair of the University of Leipzig in 2002 and got much positive feedback ever since. It excels due to numerous matching strategies, which can be combined to large matching workflows, and which enable reliable match results between different kind of schemas. -
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CellTypist
A tool for semi-automatic cell type classification, harmonization
CellTypist is an automated tool for cell type classification, harmonization, and integration. Classification, transfer cell type labels from the reference to query dataset. Harmonization, match and harmonize cell types defined by independent datasets. integration, integrate cell and cell types with supervision from harmonization. CellTypist recapitulates cell type structure and biology of independent datasets. Regularised linear models with Stochastic Gradient Descent provide a fast and accurate prediction. Scalable and flexible. Python-based implementation is easy to integrate into existing pipelines. A community-driven encyclopedia for cell types. -
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ChunJun
A data integration framework
ChunJun is a distributed integration framework, and currently is based on Apache Flink. It was initially known as FlinkX and renamed ChunJun on February 22, 2022. It can realize data synchronization and calculation between various heterogeneous data sources. ChunJun has been deployed and running stably in thousands of companies so far. Based on the real-time computing engine--Flink, and supports JSON template and SQL script configuration tasks. The SQL script is compatible with Flink SQL syntax. Supports a variety of heterogeneous data sources, and supports synchronization and calculation of more than 20 data sources such as MySQL, Oracle, SQLServer, Hive, Kudu, etc. Easy to expand, highly flexible, newly expanded data source plugins can integrate with existing data source plugins instantly, plugin developers do not need to care about the code logic of other plugins. -
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Civi Data Integration
This is a Pentaho Data Integration plugin for CiviCRM.
This is a Pentaho Data Integration plugin for CiviCRM. It allows you to take advantage of the power of Pentaho Data Integration tools and use it with your CiviCRM instance. -
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Common Core Ontologies
The Common Core Ontology Repository
The Common Core Ontologies (CCO) comprise twelve ontologies that are designed to represent and integrate taxonomies of generic classes and relations across all domains of interest. CCO is a mid-level extension of Basic Formal Ontology (BFO), an upper-level ontology framework widely used to structure and integrate ontologies in the biomedical domain (Arp, et al., 2015). BFO aims to represent the most generic categories of entity and the most generic types of relations that hold between them, by defining a small number of classes and relations. CCO then extends from BFO in the sense that every class in CCO is asserted to be a subclass of some class in BFO, and that CCO adopts the generic relations defined in BFO (e.g., has_part) (Smith and Grenon, 2004). Accordingly, CCO classes and relations are heavily constrained by the BFO framework, from which it inherits much of its basic semantic relationships. -
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Daffodil Replicator is a powerful Open Source Java tool for data integration, data migration and data protection in real time. It allows bi-directional data replication and synchronization between homogeneous / heterogeneous databases including Oracle, M
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DataSync Suite is an open source platform for integrating tools like Zimbra, SugarCRM, and Drupal. The tool is focused on a single sign-on, application data integration, and fast, flexible deployment.
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EasyDataQuality for Pentaho Kettle
EasyDataQuality for Pentaho Data Integration in Kettle
EasyDQ plugins for Contact cleansing in Pentaho Data Integration in Kettle. -
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ExAws
A flexible, easy to use set of clients AWS APIs for Elixir
ExAws is a comprehensive Elixir client library for interfacing with AWS services. It provides low-level request builders for nearly all AWS APIs—like S3, EC2, Lambda, DynamoDB, SQS, SES, Route 53, and more—while supporting streaming, request configuration overrides, telemetry, flexible HTTP clients, and codecs. Its modular architecture enables importing only the services you need with separate packages (e.g., ex_aws_s3, ex_aws_ec2). -
99.99% Uptime for MySQL and PostgreSQL DatabasesCloud SQL Enterprise Plus delivers near-zero downtime with 35 days of point-in-time recovery. Supports MySQL, PostgreSQL, and SQL Server.
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The Fluxion framework is a prototype data integration system using Semantic Web technologies.
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Open source Application and Data Integration Platform that allows developers and end-users to integrate and transform information using a web-based drag-and-drop interface that doesn't require coding or programming skills.
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Gradle Docker Compose Plugin
Simplifies usage of Docker Compose for integration testing
The Gradle Docker Compose Plugin by Avast integrates Docker Compose lifecycle management into Gradle builds. It allows developers to define and manage Docker containers required for integration testing or local development directly from their Gradle build scripts. This plugin automates the startup and shutdown of services, supports container health checks, and enables tight integration between application code and containerized services, enhancing reproducibility and automation in development pipelines. -
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Grinn
graph database and R package for omic data integration
http://kwanjeeraw.github.io/grinn/ -
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The Hanalyzer is a tool designed to help biologists explain results observed in genome-scale experiments and to generate new hypotheses. It combines information extraction, semantic data integration, reasoning, and visualization.
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Harmony Data Integration
Fast, sensitive and accurate integration of single-cell data
Harmony is a general-purpose R package with an efficient algorithm for integrating multiple data sets. It is especially useful for large single-cell datasets such as single-cell RNA-seq. Harmony has been tested on R versions =4. Please consult the DESCRIPTION file for more details on required R packages. Harmony has been tested on Linux, OS X, and Windows platforms. -
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Hetionet
Hetionet: an integrative network of disease
Hetionet is a hetnet — network with multiple node and edge (relationship) types — which encodes biology. The hetnet was designed for Project Rephetio, which aims to systematically identify why drugs work and predict new therapies for drugs. The JSON and Neo4j formats contain node and edge properties, which are absent in the TSV and matrix formats, including licensing information. Therefore the recommended formats are JSON and Neo4j. Our hetio package in Python reads the JSON format, but it is otherwise a simple yet new format. The Neo4j graph database has an established and thriving ecosystem. However, if you would like to access Hetionet without Neo4j, then we suggest the JSON format. The matrix format refers to HetMat archives, which store edge adjacency matrices on disk. Additional usage information is available at the corresponding download locations. -
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INDUS is a porject for knowledge acquisition and data integration from heterogeneous distributed data, particularly from bio-informatics databases
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This disease-centric project contributes data integration and analysis tools from the Institute for Systems Biology (ISB). We offer this project to the research community to further our efforts in disease prediction and prevention.
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An extension package to Pentaho Data Integration, providing plug-ins. Steps/job entries can be downloaded independently and each comes with source code in the .zip file. All are licensed as LGPL or GPL.
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The JasperSoft Business Intelligence Suite provides integrated reporting, analysis, and data integration to make faster, better decisions. * Integrated or stand-alone * Analytic & operational data integration * Embeddable with ERP or CRM
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Jitsu
Jitsu is an open-source Segment alternative
Jitsu is a fully-scriptable data ingestion engine for modern data teams. Set-up a real-time data pipeline in minutes, not days. Installing Jitsu is a matter of selecting your framework and adding few lines of code to your app. Jitsu is built to be framework agnostic, so regardless of your stack, we have a solution that'll work for your team. Connect data warehouse (Snowflake, Clickhouse, BigQuery, S3, Redshift ot Postgres) and query your data instantly. Jitsu can either stream data in real-time or send it in micro-batches (up to once a minute). Apply any transformation with Jitsu. Just write JavaScript code right in the UI to do anything with incoming data. And yes, the code editor supports code completion, debugging and many more. It feels like a full-featured IDE! -
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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.