11 Open Source ETL Tools For Business Data Integration

In any goal-driven organisation, managing data and achieving data integration are critical processes. Quality data allows a business company to evaluate marketing efforts return on investment, decipher consumer attitudes and identify market trends. Extract, Transform, Load (ETL) is the process of retrieving and integrating data from multiple sources for effective decision-making. There are several data automation tools available to make this process much easier. In this article, we discuss 11 open source ETL tools you can consider for your business data integration needs.

11 open source ETL tools for your data integration

Here are open source ETL tools you can use for business data integration:

1. Apache NiFi

Apache NiFi is an easy-to-use Java-based open source ETL tool that can process and disseminate data. This tool is dependable because it has advanced data transformation capabilities. It is not necessary to download and any files with Apache NiFi. Instead, it boasts of a user-friendly interface and accessible multiple capabilities for easy data design, management and monitoring.

Besides being an open source ETL tool, the Apache NiFi ETL software is easily customisable. Adjust the latencies of data streams, choose between high throughput and low latency or between guaranteed delivery and loss tolerance. It also allows for dynamic prioritisation of tasks.

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2. Jaspersoft EFL

Jaspersoft ETL is a full-featured ETL platform with data integration capabilities. It enables you to retrieve data from various locations and store it in a centralised data repository. Jaspersoft ETL includes a task designer platform for developing ETL processes. It also includes an in-built modelling tool which produces a simpler outlook of data streams. You can characterise complicated data processing and visualisation using its Transformation Mapper functionality.

Jaspersoft ETL can integrate information from XML formats, databases, FTP and POP servers. You can concurrently input and output information from these locations. Then, you can create portable Java or Perl code capable of running on multiple platforms. Jaspersoft ETL can also work with complicated formats and disparate data sources. This tool contains a debugger that keeps a record of your ETL metrics and runs in real-time.

3. Apache Camel

Apache Camel is an ETL framework designed to connect multiple systems that ingest or generate data. This tool is compatible with most enterprise integration patterns. Apache Camel is beneficial because of its portability and is useful in multiple situations. This open source ETL tool can function as a standalone product or integrate with other platforms, such as Application Servers and cloud platforms. There are many components and APIs available to support you in integrating Apache Camel with other systems.

Apache Camel supports multiple data formats. The software also supports different sectors' data formats, including health services, communication and financial services. The Apache Camel open source ETL tool is available for download and installation on various operating systems.

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4. Airbyte

Airbyte is one of the most recent open source ETL tool. It contrasts with other ETL tools because it offers out-of-the-box connectors via a UI and API that enables developers to monitor and manage the tool. The connectors are compatible with any language. Airbyte adds flexibility by offering modular components and extra feature subsets. Airbyte currently offers three pricing models, community, standard, and enterprise, based on the number of plugs and premium features.

5. KETL

KETL is an XML-based ETL tool that is useful for data deployment and development to and from multiple platforms. This tool is quick and efficient, allowing you to manage complicated data in a short time. This tool includes a central repository, allowing you to manage your data from one location. It includes a task execution and planning manager that handles a variety of data jobs, such as timed scheduling base and email notification. Because KETL is an open source platform, you can add your own executors.

With this tool, you can retrieve and stack data to or from a variety of sources, including flat files, relational databases and XML data. KETL works well with security software to ensure your information stays safe. You can keep track of your task history and active job metrics using the performance monitor. The detailed analysis makes it simple to handle even the most difficult ETL jobs. KETL works on a variety of servers and operating systems, regardless of the amount of data you are processing.

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6. CloverDX

Formerly known as Clover ETL, CloverDX software now can manage more enterprise information management tasks rather than solely handling ETL tasks. CloverDX Designer and CloverDX Server are the CloverDX tools that provide ETL functions. You can generate ETL tasks from primary and secondary data workflows using the designer. It also includes many configurable built-in components. CloverDX tool is adaptable because the components are customisable using any language, with Python and Java being the recommended languages.

CloverDX enables you to bundle and distribute your ETL jobs as subgraphs. You can also keep these jobs libraries for future use. CloverDX also allows you to keep track of each ETL action you take. You get a detailed view of the data you are processing, and you can use it to troubleshoot functions to quickly identify problematic data. CloverDX is dependable for collaboration because you can allocate and share projects with others while controlling the data from a central location.

7. Apatar

Apatar is an open source ETL tool whose core purpose includes migrating and integrating data. Apatar is popular because it is simple to operate. The Apatar interface is user-friendly, allowing you to pull data from various applications and drop those selections wherever you want. Apatar can also cleanse data and create a backup schedule. It generates a comprehensive report for each data job you perform.

The tool's built-in capabilities can also help you enhance data quality. Java is the software language, making Apatar compatible with multiple operating systems. There is also a developer's community where you access and exchange mapping schemas.

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8. GeoKettle

GeoKettle is a spatially configured ETL tool for data integration and the creation of geographically spaced data locations and databases. This tool is most appropriate when working with spatial data. The GeoKettle ETL tool is completely free and open source. You can use this software to source data from different locations, modify its structure, remove errors, enhance its quality and perform data cleansing. It can also load data into various databases, geo-referenced online services and GIS files.

GeoKettle is simple to use because it allows you to simplify information processing without having to code. Because of its spatial orientation, this tool is most suitable for highly skilled users and developers. It proves useful when converting data because an in-built debugger assists you in finding any errors resulting from data processing activity. GeoKettle aligns well with Linux operating systems. You can use a web-based emulator to operate the software on other operating systems.

9. Talend

Talend can assist organisations in keeping clean data. Talend's Trust Assessor automatically scans databases and quantifies the data quality. The Talend Trust Score output then tells you if your information is valid. This platform is highly versatile, as it allows you to integrate any data type. Talend is compatible with any cloud, on premise or hybrid set-up.

Talend data pipelines can operate on any other information management application. Because you use visual tools, Talend can help create applications and APIs. It also facilitates and improves collaboration and is therefore essential for remote working teams.

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10. Scriptella

Scriptella is both an ETL tool and a script operational tool. Written in Java, this tool makes ETL automation easier using data source scripting programming languages. It can migrate databases using multiple data sources, such as XML, JDBC and LDAP. It also facilitates ETL functions across databases, enabling you to transform from one file system to another.

This ETL tool performs well while consuming very few CPU resources. It is also a standalone tool and does not require installation or deployment to any server to operate. Java codes can directly operate ETL files. Scriptella's transaction-oriented execution capability allows it to reverse modifications in ETL tasks if the system encounters an error. It includes built-in databases adapters that support multiple drivers.

11. Xplenty

This is an ETL tool focusing on data governance and security. Xplenty includes features for building data pipelines. It can dispatch, track, plan, maintain and protect data. It is also useful for performing complex data processing and simple information activities. Xplenty comes with an easy-to-use graphical user interface for executing ETL tasks. Both technical and non-technical users can use Xplenty, as it is a no to low-code ETL platform. You can seamlessly execute complicated ETL data tasks using the workflow engine. You can use this tool to communicate with a variety of third-party databases and applications.