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If you're reading this article, you probably heard of the term "ETL" used in connection with data, data warehouse, and analytics. It is an acronym that stands for "Extract, Transform, and Load." If you have information from multiple sources and you wish to combine into a single database, you need ETL.

Top 19 ETL Tools: The Introduction

ETL is a product that has its roots in the 1970s and the development of centralized data repositories. However, it wasn't until the late 1980s and the early 1990s when data warehouses were taking center stage that we witnessed the development of tools specifically designed to aid in loading data into new warehouses.

ETL is an abbreviation. It is short for Extract, Transform, and Load. These three functions are performed in a database. They are integrated into a tool that extracts data from one database and transfers it to another database.

• Extract the method of extracting data from the database. In this phase, the data is usually gathered from multiple and various types of sources.
• Transform is the method of changing the extracted data from its earlier format into the required format to be inserted into a different database. Transformation is accomplished by using lookup tables, rules or mixing them with additional information.
• Load is the method of recording the information into the database of choice.

List of Top 19 ETL Tools 

1. Xplenty:

Xplenty is a cloud-based ETL solution that offers simple and easy visual data pipelines for automated data flow across a broad array of sources and locations. In addition, they transform tools for platforms that allow customers to cleanse, transform and normalize their data while following best practices for compliance.

Features

• Preparing and centralizing data to be used in BI.
• Transform and transfer data between internal databases or warehouses. 

2. CData Sync:

It is easy to replicate all of your Cloud/SaaS information on any data warehouse or database within minutes. CData Sync is a user-friendly data pipeline that lets you integrate data from any application and data source to your Database or Data Warehouse of choice. The data you connect fuels your business by integrating BI, Analytics, and Machine Learning.

Features:

• Intelligently automated incremental data replication.
• Fully customizable data transformation for ETL/ELT.
• The software can run anywhere, on-premise as well as in Cloud.

3. Rivery:

Rivery automatizes and manages all data processing, empowering enterprises to discover the opportunities that lie within their data. Rivery's ETL is a platform that consolidates, transforms, and handles all the company's external and internal data sources that are stored in the cloud.

Features:

• Pre-built data models for Data: Rivery has an extensive collection of pre-built data models, which allows teams of data to develop robust data pipelines quickly.
• Multi Environments It allows groups to build and create customized environments for particular groups or projects.
• Reverse ETL Companies can automatically transfer data from cloud storage to CPDs, marketing clouds, and much more.

4. Dataddo:

Dataddo is a non-coding cloud-based ETL platform that is focused on flexibility. The extensive list of connectors and customizable data sources gives you complete freedom to select specific metrics and attributes. Dataddo's user-friendly interface, speedy deployment, and cutting-edge integration technology allows you to create robust data pipelines that are stable and reliable. Additionally, the platform integrates right into existing data stacks, which means you don't have to change the data structure to use it.

Features:

• Simple for users who are not as technically savvy and provides a simple user interface.
• No-maintenance API changes are handled by Dataddo internally.
• New connectors are available within ten-day.

5. Big Evil:

Big Evil is a full set of software tools, designed for maximizing the value of data from enterprises by constantly monitoring and validating their quality. It automates testing tasks in ETL and DWH development and gives quality metrics during production.

Features:

• Data Quality Measuring and Assisted Problem Solving.
• High-performance in-memory scripting and rules engine.
• Abstraction for any data (RDBMS, APIs, Flat Files, Business applications cloud / on-premises).
• Clear dashboards and alerting processes.

6. DBConvert:

DBConvert Studio is a data ETL solution that works with on-premise and cloud databases. It converts, extracts, and loads data into various databases such as Oracle, MS SQL, MySQL, PostgreSQL, MS FoxPro, SQLite, Firebird, MS Access, DB2, and Amazon RDS, Amazon Aurora, MS Azure SQL, and Google Cloud cloud data.

Features:

• DBConvert Studio is a commercially licensed tool.
• A free trial is offered to test.
• Automated Schema migration as well as Data Type Mapping.
• Wizard-based programming is not required.

7. AWS Glue:

AWS Glue is an ETL service that allows you to prepare and load your data to run analytics. It is among the most effective ETL softwares used for Big Data that helps you design and execute various kinds of ETL tasks within the management console in Amazon Web Services.

Features:

• Automatic schema discovery.
• This ETL tool automatically generates the code needed to extract, transform, and load the data.
• AWS Glue jobs permit users to run their jobs on-demand, scheduled, or based on a timeframe.

8. Alooma:

Alooma is an ETL product that allows teams to gain visibility and control. It is among the most effective ETL tools with built-in safety nets that enable you to deal with errors without stopping the pipeline.

Features:

• Offers a contemporary approach to data migration.
• Alooma's infrastructure is scalable to meet your requirements.
• It assists you in resolving your issues with data pipelines.

9. Stitch:

Stitch can be described as a cloud-first open-source platform that allows users to quickly move data. It's a simple flexible ETL designed for teams working with data.

Features:

• It gives you the ability to protect, analyze, and control your data by integrating it within the data structure.
• Transparency and management tools for your data flow.
• Add multiple users across your organization.

10. Fivetran:

Fivetran can be described as a really adaptable ETL tool. It is among the top Cloud ETL Tools that automatically adjust to changes in APIs and schemas, which means access to your data is straightforward and reliable.

Features:

• It helps you build automated solid pipelines that are based on standard schemas.
• You can add new sources of data when required.
• There is no training or custom code needed.

11. Streamset:

It is StreamSets ETL software that lets you provide continuous data to all aspects of your company. It also tackles data drift by using a new method of integrating data and engineering.

Features:

• Provides significant data insights for your business using Apache Spark. Apache Spark.
• Let's you execute huge ETL and machine-learning processes without the need for Scala or the Python language.
• Faster action with a single interface that allows you to develop, test, and then deploy Spark applications.
• It provides greater insight into Spark’s execution, including drift and the handling of errors.

12. Open Studio:

Talend is an American-based Software Company launched in 2005 with its headquarters located in California, USA. The company currently has around a 600 employees team.

Talend Open Studio for Data Integration was their first product launched in 2006. It allows data warehouse, profiling, and migration. In addition, it is a platform for data integration that supports data integration and monitoring. The company offers data integration services, data processing management, data preparation, and integration of enterprise applications.

Features:

• Talend is a no-cost open-source ETL tool.
• It's the first open-source commercial software vendor for data integration.
• Over 900 built-in components to connect various data sources.
• Drag-and-drop interface.

13. Informatica Power Center:

Informatica is a pioneer of Enterprise Cloud Data Management with more than 500 partners across the globe and more than one trillion transactions each month. Informatica is a software development company established in 1993, with its headquarters located in California, United States. The company's annual revenue is $1.05 billion and has a headcount of approximately 4,000 employees.

PowerCenter is software created by Informatica to facilitate data integration. It is a part of the entire lifecycle of data integration and provides crucial data and value to businesses. PowerCenter can handle a large amount of data and take any data and source of data integration.

Features:

• PowerCenter is a licensed commercial tool.
• It's an easily accessible tool with easy-to-use learning modules.
• PowerCenter can support agile processes.
• It is possible to integrate it with other instruments.

14. Blendo:

Blendo can synchronize analytics-ready data to your data warehouse with just a click of a button. This tool will help you reduce the implementation time needed. It offers a 14-day, full-featured free trial.

Features:

• Ensures you have Analytics Ready Data in your cloud service for your data warehouse.
• It allows you to blend information from various sources such as marketing, sales, or support to provide information related to your company.
• This tool will allow you to increase your exploration time using reliable data, schemas, and tables and it is analytics-ready.

15. Azure:

Azure Data Factory is a tool for data integration that makes it easier to complete its ETL process. It's cost-effective and also a serverless cloud-based data integration tool.

Features:

• Does not require maintenance to construct ETL hybrid pipelines.
• Increases productivity by reducing time to market.
• Azure security measures to connect to on-premises, cloud-based, and software-as-a-service apps.
• SSIS integration runtime enables hosting of on-premises SSIS packages.

16. IRI Voracity:

IRI Voracity is high-performance data management, all-in-one ETL program. It helps you monitor your data at each stage of its lifecycle and extract the maximum value from it.

Features:

• IRI Voracity offers faster data monitoring and management solutions.
• It allows you to create and manage the test data.
• The tool allows you to integrate data discovery and integration and migration and analytics into one platform.
• Combine and improve data transformation with help of CoSort and Hadoop engines.

17. Logstash:

Logstash is the pipeline for data collection tools. It is a tool that collects data inputs and feeds them into Elasticsearch. It allows you to collect the various types of data available from various sources and then makes them accessible for further use.

Features:

• It lets you cleanse and make your data accessible to analyze and visualize on various use scenarios.
• Centralizes the processing of data.
• It analyzes a large variety of structured/unstructured data and events.
• The plugins allow you to connect to diverse input sources and platforms.

18. SAS:

SAS is a renowned ETL tool that lets you access information from multiple sources. As a result, SAS can conduct sophisticated analyses and provide information to the entire organization.

Features:

• The activities are managed from central locations. Therefore, users can access applications remotely using the Internet
• The delivery of applications is typically more like a one-to-many model than a one-to-model.

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19. Pentaho:

Pentaho is a simple and interactive user interface that helps customers gain access to, explore and combine all kinds of display data.

Features:

• Extensive data integration without the need for programming.
• Simple embedded analytics.
• Access to nearly any source of data.
• Create custom dashboards to display.

Top 19 ETL Tools: The Conclusion:

In short, ETL tools are the initial element of the data warehousing process. They allow you to make better decisions with less time.

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