15+ Best ETL Tools Available in the Market in 2018

List of Best Commercial and Open Source ETL Tools and Solutions with Detailed Comparison:

ETL stands for Extract, Transform and Load. It is the process in which the Data is extracted from any data sources and transformed into a proper format for storing and future reference purpose.

Finally, this data is loaded into the database. In the current technology era, the word ‘data’ is very crucial as most of the business is run around this data, data flow, data format, etc. Modern applications and working methodology require real-time data for processing purposes and in order to satisfy this purpose there are various ETL tools available in the market.

Using such databases and ETL tools makes the data management task much easier and simultaneously improves data warehousing.

ETL Tools

ETL tools that are available in the market save money as well as time to a great extent. Some of them are commercial, licensed tools and few are open sourced ones.

In this article, we will take an in-depth look at the most popular ETL tools that are available in the market along with their download links and key features for your easy understanding.

List of Most Popular ETL Tools

Given below is the list of ETL tools that are most popular in the current trend.


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#1) Informatica – PowerCenter

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Informatica is a leader in Enterprise Cloud Data Management with more than 500 global partners and more than 1 trillion transactions per month. It is a software Development Company that was found in 1993 with its headquarters in California, United States. It has a revenue of $1.05 billion and a total employee headcount of around 4,000.

PowerCenter is a product which was developed by Informatica for data integration. It supports data integration lifecycle and delivers critical data and values to the business. PowerCenter supports a huge volume of data and any data type and any source for data integration.

Key Features:

  • PowerCenter is a commercial licensed tool.
  • It is a readily available tool and has easy training modules.
  • It supports data analysis, application migration and data warehousing.
  • PowerCenter connects various cloud applications and is hosted by Amazon Web Services and Microsoft Azure.
  • PowerCenter supports agile processes.
  • It can be integrated with other tools.
  • Automated result or data validation across development, testing and production environment.
  • A non-technical person can run and monitor jobs which in turn reduces the cost.

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#2) IBM – Infosphere Information Server


IBM is a multinational Software Company found in 1911 with its headquarters in New York, U.S. and it has offices across more than 170 countries. It has a revenue of $79.91 billion as on 2016 and total employees currently working are 380,000.

Infosphere Information Server is a product by IBM that was developed in 2008. It is a leader in data integration platform which helps to understand and deliver critical values to the business. It is mainly designed for Big Data companies and large-scale enterprises.

Key Features:

  • It is a commercial licensed tool.
  • Infosphere Information Server is an end to end data integration platform.
  • It can be integrated with Oracle, IBM DB2, and Hadoop System.
  • It supports SAP via various plug-ins.
  • It helps to improve data governance strategy.
  • It also helps to automate business processes for a more cost-saving purpose.
  • Real-time data integration across multiple systems for all data types.
  • Existing IBM’s licensed tool can be easily integrated with it.

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#3) Oracle Data Integrator

Oracle Data Integrator

Oracle is an American multinational company with its headquarters in California and was found in 1977. It has a revenue of $37.72 billion as on 2017 and a total employee headcount of 138,000.

Oracle Data Integrator (ODI) is a graphical environment to build and manage data integration. This product is suitable for large organizations which have frequent migration requirement. It is a comprehensive data integration platform which supports high volume data, SOA enabled data services.

Key Features:

  • Oracle Data Integrator is a commercial licensed RTL tool.
  • Improves user experience with re-design of flow based interface.
  • It supports declarative design approach for data transformation and integration process.
  • Faster and simpler development and maintenance.
  • It automatically identifies faulty data and recycles it before moving into the target application.
  • Oracle Data Integrator supports databases like IBM DB2, Teradata, Sybase, Netezza, Exadata etc.
  • Unique E-LT architecture eliminates the need for ETL server thereby resulting in cost saving.
  • It integrates with other Oracle products for processing and transforming data using existing RDBMS capabilities.

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#4) Microsoft – SQL Server Integrated Services (SSIS)


Microsoft Corporation is an American multinational company launched in 1975 based out of Washington. With a total employee headcount of 124,000, it has a revenue of $89.95 billion.

SSIS is a product by Microsoft and was developed for data migration. The data integration is much faster as the integration process and data transformation is processed in the memory. As it is the product of Microsoft, SSIS only supports Microsoft SQL Server.

Key Features:

  • SSIS is a commercial licensed tool.
  • SSIS import/export wizard helps to move data from source to destination.
  • It automates the maintenance of SQL Server Database.
  • Drag and Drop user interface for editing SSIS packages.
  • Data transformation includes text files and other SQL server instances.
  • SSIS has inbuilt scripting environment available for writing a programming code.
  • It can be integrated with salesforce.com and CRM using plug-ins.
  • Debugging capabilities and easy error handling flow.
  • SSIS can also be integrated with change control software’s like TFS, GitHub etc.

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#5) Ab Initio

AB Initio

Ab Initio is an American private enterprise Software Company launched in 1995 based out of Massachusetts, USA. It has offices worldwide in UK, Japan, France, Poland, Germany, Singapore and Australia. Ab Initio is specialized in application integration and high volume data processing.

It contains six data processing products such as Co>Operating System, The Component Library, Graphical Development Environment, Enterprise Meta>Environment, Data Profiler, and Conduct>It. “Ab Initio Co>Operating System” is a GUI based ETL tool with a drag and drop feature.

Key Features:

  • Ab Initio is a commercial licensed tool and a most costlier tool in the market.
  • The basic features of Ab Initio are easy to learn.
  • Ab Initio Co>Operating system provides a general engine for data processing and communication between rest of the tools.
  • Ab Initio products are provided on a user-friendly platform for parallel data processing applications.
  • The parallel processing gives capabilities to handle a large volume of data.
  • It supports Windows, Unix, Linux and Mainframe platform.
  • It performs functionalities like batch processing, data analysis, data manipulation etc.
  • Users who are using Ab Initio product have to maintain confidentiality by signing NDA.

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#6) Talend – Talend Open Studio for Data Integration


Talend is a US based Software Company launched in 2005 with its headquarters in California, USA. It currently has a total employee count of around 600.

Talend Open Studio for Data Integration is the company’s first product which was introduced in 2006. It supports data warehousing, migration, and profiling. It is a data integration platform which supports data integration and their monitoring. The company provides services for data integration, data management, data preparation, enterprise application integration etc.

Key Features:

  • Talend is a free open source ETL tool.
  • It is a first commercial open source software vendor for data integration.
  • Over 900 inbuilt components for connecting various data sources.
  • Drag and drop interface.
  • Improves productivity and time required for deployment are using GUI and inbuilt components.
  • Easily deployable in a cloud environment.
  • Data can be merged and transforms traditional and Big Data into Talend Open Studio.
  • Online user community available for any technical support.

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#7) CloverETL


CloverETL is developed by a company named Javlin which was launched in 2002 with offices across the globe like USA, Germany, and the UK. Javelin majorly provides services like data processing and data integration.

CloverETL is a high-performance data transformation and robust data integration platform. CloverETL processes a huge volume of data and transfers the data to various destinations. CloverETL consists of three packages such as – CloverETL Engine, CloverETL Designer, and CloverETL Server.

Key Features:

  • CloverETL is a commercial ETL software.
  • CloverETL has a Java-based framework.
  • Easy to install and simple user interface.
  • Combines business data in a single format from various sources.
  • It supports Windows, Linux, Solaris, AIX and OSX platforms.
  • It is used for data transformation, data migration, data warehousing and data cleansing.
  • Support is available from Clover developers.
  • It helps to create various reports using data from the source.
  • Rapid development using data and prototypes.

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#8) Pentaho Data Integration


Pentaho is a Software Company which offers a product known as Pentaho Data Integration (PDI) and is also known as Kettle. It is headquartered in Florida, USA and offers services like data integration, Data mining, and STL capabilities. In 2015, Pentaho was acquired by Hitachi Data System.

Pentaho Data Integration enables the user to cleanse and prepare the data from various sources and allows migration of data between applications. PDI is a open source tool and is a part of Pentaho business intelligent suite.

Key Features:

  • PDI is available for Enterprise and Community edition.
  • Enterprise platform has additional components which increase the capability of Pentaho platform.
  • Easy to use and simple to learn and understand.
  • PDI follows metadata approach for its implementation.
  • User-friendly graphical interface with drag and drop feature.
  • ETL developers can create their own jobs.
  • Shared library simplifies the ETL execution and development process.

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#9) Apache Nifi

Apache Nifi

Apache Nifi is a software project developed by Apache Software Foundation. Apache Software Foundation (ASF) was established in 1999 with its headquarters at Maryland, USA. The software developed by ASF is distributed under Apache License and is a Free and Open Source Software.

Apache Nifi simplifies the data flow between various systems using automation. The data flows consist of processors and a user can create their own processors. These flows can be saved as templates and later can be integrated with more complex flows. These complex flows can then be deployed to multiple servers with minimal efforts.

Key Features:

  • Apache Nifi is an open source software project.
  • Easy to use and is a powerful system for data flow.
  • Data flow includes user to send, receive, transfer, filter and move data.
  • Flow-based programming and simple user interface supporting web-based applications.
  • GUI is customized based on specific needs.
  • End to end data flow tracking.
  • It supports HTTPS, SSL, SSH, multi-tenant authorization etc.
  • Minimal manual intervention to build, update and remove various data flows.

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#10) Jasper


Jaspersoft is a leader in data integration which is launched in 1991 with its headquarters in California, United States. It extracts, transforms and loads data from various other sources into the data warehouse.

Jaspersoft is a part of Jaspersoft Business Intelligent suite. Jaspersoft ETL is a data integration platform with high performing ETL capabilities.

Key Features:

  • Jaspersoft ETL is an open source ETL tool.
  • It has activity monitoring dashboard which helps to monitor the job execution and its performance.
  • It has connectivity to applications like SugarCRM, SAP, Salesforce.com, etc.
  • It also has connectivity to Big Data environment Hadoop, MongoDB etc.
  • It provides a Graphical editor to view and edit the ETL processes.
  • Using GUI, it allows the user to design, schedule and execute data movement, transformation etc.
  • Real-time, an end to end process and ETL statistic tracking.
  • It is suitable for small and medium-size business.

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#11) SAS – Data Integration Studio


SAS Data Integration Studio is a graphical user interface to build and manage data integration processes.

The data source can be any applications or platforms for the integration process. It has powerful transformation logic using which a developer can build, schedule, execute and monitor jobs.

Key Features:

  • It simplifies the execution and maintenance of data integration process.
  • Easy to use and wizard-based interface.
  • SAS Data Integration Studio is a flexible and reliable tool to respond and overcome any data integration challenges.
  • It resolves issues with speed and efficiency which in turn reduces the cost of data integration.

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#12) SAP – BusinessObjects Data Integrator

SAP BusinessObjects Data Integrator

BusinessObjects Data Integrator is data integration and ETL tool. It mainly consists of data integrator Job Servers and data integrator Designer. BusinessObjects Data Integration process is divided into – Data unification, Data profiling, Data auditing and Data Cleansing.

Using SAP BusinessObjects Data Integrator, data can be extracted from any source and loaded into any data warehouse.

Key Features:

  • It helps to integrate and load data in the analytical environment.
  • Data Integrator is used to build Data Warehouses, Data Marts etc.
  • Data Integrator web administrator is a web interface allowing to manage various repositories, metadata, web services, and job servers
  • It helps to schedule, execute and monitor batch jobs.
  • It supports Windows, Sun Solaris, AIX and Linux platforms.

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#13) Oracle Warehouse Builder


Oracle has introduced an ETL tool known as Oracle Warehouse Builder (OWB). It is a graphical environment which is used to build and manage the data integration process.

OWB uses various data sources in the data warehouse for integration purposes. The core capability of OWB is data profiling, data cleansing, fully integrated data modeling and data auditing. OWB uses Oracle database to transform the data from various sources and is used to connect various other third-party databases.

Key Features:

  • OWB is a comprehensive and flexible tool for data integration strategy.
  • It allows a user to design and build the ETL processes.
  • It supports 40 metadata files from various vendors.
  • OWB supports Flat files, Sybase, SQL Server, Informix and Oracle Database as a target database.
  • OWB supports data types such as numeric, text, date, etc.

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#14) Sybase ETL


Sybase is a strong player in data integration market. Sybase ETL tool is developed for loading data from different data sources and then transforming them into data sets and finally loading this data into data warehouse.

Sybase ETL use sub-components such as Sybase ETL Server and Sybase ETL Development.

Key Features:

  • Sybase ETL provides automation for data integration.
  • Simple GUI to create data integration jobs.
  • Easy to understand and no separate training is required.
  • Sybase ETL dashboard provides a quick view of where exactly the processes stand.
  • Real-time reporting and better decision-making process.
  • It only supports Windows platform.
  • It minimizes the cost, time and human efforts for data integration and extraction process.

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#15) DBSoftlab


DB Software Laboratory introduced an ETL tool which delivers end to end data integration solution to the world-class companies. DBSoftlab design products will help to automate the business processes.

Using this automated process a user will be able to view ETL processes at any time to get a view of where exactly it stands.

Key Features:

  • It is a commercial licensed ETL tool.
  • Easy to use and faster ETL tool.
  • It can work with Text, OLE DB, Oracle, SQL Server, XML, Excel, SQLite, MySQL, etc.
  • It extracts data from any data source such as an email.
  • End to End business automated process.

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Few others on the list:

#16) Information Builders – iWay Software

iWay DataMigrator is a powerful data integration tool and B2B integration tool which simplifies the ETL processes.

It retrieves the data from XML, Relational Database, and JSON. iWay Data-migrator runs on almost all the platforms such as UNIX, Linux, and Windows. It also uses JDBC, ODBC connectivity to connect to various database accesses.

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#17) Cognos Data Manager

IBM Cognos Data Manager is used for to perform ETL processes and high-performance business intelligence.

It has a special feature of multilingual support using which it can create a global data integration platform. IBM Cognos Data Manager automates business processes and it supports Windows, UNIX, and Linux platform.

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#18) QlikView Expressor

QlikView Expressor is a simple and easy to understand ETL tool. It is now integrated with Qlik. Qlik is a metadata management and ETL tool.

It has three different versions – Free Desktop Edition, Standard Edition and Enterprise Edition. And QlikView Expressor consists of three components – Desktop, Data Integration Engine, and Repository.

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#19) Pervasive Data Integrator

Pervasive Data Integrator tool is an ETL tool. It helps to make a quick connection between any data source and application.

It is a robust data integration platform which supports real-time data exchange and data migration. The components used in the tool are reusable so that these components can be deployed any number of times.

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#20) Apache Airflow

Apache Airflow is in a premature status and it is supported by Apache Software Foundation (ASF).

Apache Airflow programmatically creates, schedules and monitor workflows. It can also modify the scheduler to run the jobs as and when required.

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So far we took an in-depth look at the various ETL tools that are available in the market. In the current market, ETL tools have a significant value and they are very important to identify the simplified way of extraction, transformation and loading method.

Various tools that are available in the market will help you to get the job done but it depends upon the requirement.

Several companies are using data warehouse concept and the combination of technology and analytics will lead to the continuous growth of data warehouse, which in turn will increase the usage of ETL tools.


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