Best Open Source Data Integration Tools

In the previous blog, I listed out the Best Independent Data Integration Tools that help in integrating all the different tools across the Big Data Architecture in order to make the whole process of Big Data function smoothly. In this blog, I would be listing the Best Data Integration Tools that are open source.

A data integration project usually involves the following steps:

  1. Accessing Data from all the on-premise sources, cloud sources and if any other.
  2. Integrating Data: the data accessed in the previous step.
  3. Delivering integrating data in real time or near real time to the business.

Best Open Source Data Integration Tools

1. Apatar


Apatar is the most famous Open Source Data Integration Tool written in Java. The Gartner Group estimates that corporate developers spend 65% of their effort building bridges between applications. Apatar effectively integrates data and applications, and provides data cleansing and validation capabilities to the developer saving time while integrating information between heterogeneous databases, files, and applications.

Apatar has a set of unmatched capabilities in an open source package:

  1. Flexible Deployment options
  2. Bi-directional integration
  3. Platform-independent, runs from windows, Linux, Mac; 100% Java-based
  4. Easy customization, Java Source code included
  5. Non-developers can also design and perform transformations.
  6. Connectivity to Salesforce, SugarCRM, Goldmine, any JDBC data sources, Sybase, DB2, Oracle, MS SQL, MySQL, XML

See Also: Applications of LIDAR Technology

2. Clover –


Clover Data Integration Tool has a version that is built on a JAVA Open Source Engine. It does not have any Graphic User Interface Components. It allows you to efficiently develop, deploy and automate transparent data transformations, from file-to-database loads to automating complex data movement between databases, files and Web Service APIs. This edition of Clover also have access to most of powerful data transformation and ETL features that are available throughout its own product range.

3. Jaspersoft ETL –

Jaspersoft ETL is easy to deploy and out-performs many proprietary Data integration Tool. It helps in creating data ware house or data mart by extracting data from the transactional system for reporting and analysis. It is powered by Talend is the most flexible, powerful, and affordable open source tool for data integration requirements. The tool is designed to support one to many developers while scaling to the highest levels of data volumes and process complexity. Users can graphically design, schedule, and execute data movements and transformations for business intelligence projects, such as loading an Operational Data store (ODS), Data Mart, or Data Warehouse.

See Also: Best 19 Free Data Mining Tools

4. KETL –

It is among the best open source data integration tools. KETL data integration platform has features like portable, java-based architecture and open, XML-based configuration and job language. It is stands equal to all other commercial tools in competition. Other important features are:

  1. Integration of security and data management tools is supported in the tool.
  2. The tool is scalable across multiple servers and CPU’s and any volume of data.
  3. No requirement to engage with third party schedule, dependency and notification tools.

5. Pentaho’s Data Integration –


It is one of the best data integration tools and is also known as Kettle. It has powerful extraction, transformation and loading capabilities, which uses a groundbreaking meta-driven approach. It has an intuitive, graphical, drag and drop design environment. You can use this standalone application to visually design transformations and jobs that extract your existing data and make them available for easy reporting and analysis.

6. Talend Open Studio –


This open source data integration software gives you unmatched flexibility so you can solve integration challenges. It offers powerful and versatile set of open source products for developing, testing, deploying and administrating data management and application integration projects. It has proven to be a productive tool as it has easy-to-use, Eclipse-based graphical environment that combines data integration, data quality, MDM, application integration and big data.

7. Jedox –


Jedox is user friendly and powerful data integration tool. It enables you to combine all database systems with the multidimensional Jedox OLAP server and thus integrate BI/ PM applications with Jedox fast and easy into existing IT Landscapes. Jedox Integrator can be operated both from the command-line level and, more conveniently, using the web-based component Integrator of Jedox Web.

See Also: Things To Remember About Cloud Computing: Dos

With the help of the Jedox Integrator, flexible data imports can be carried out easily and fully automatically. All established relational databases can be connected as data sources via a standardized interface. Furthermore, complex transformations and aggregations can be modeled.

Data integration involves combining data from several disparate sources, which are stored using various technologies and provide a unified view of the data. Delivering the right data in the right format and at the right time will enhance the analytics and business processes.

This blog gave you the list of all open source data integration tools. In the next blog we will see the list of tools in the 3rd group i.e. integration built-in in Larger Suite of Products.


  • comment_avtar
    Thank you for the post.

    7 years ago
    • comment_avtar
      You are welcome!

      7 years ago

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