The ETL can be signified as a data tool. It involves the whole process from data warehousing to its completion, which includes refining data by verifying it, validating the credentials, and qualifying it. ETL is useful for eradicating extra non-useful records, duplicate records, and preventing loss of the data. All of the information acquired during this process is then used for data analytics and business intelligence purposes. The use of ETL testing tools helps in lowering the business risk for owners by developing data integrity.

Importance of ETL in organizations

Since everything is moving towards advancement and the world is globalizing. Organizations also keep updating their practices and policies to sustain in such a competitive environment. They tend to keep adapting to new tools, technologies, and innovations. With all of these factors associated, organizations deal with huge chunks of data. Which is not comprehensible by human labor alone; it becomes difficult to handle it without the intervention of data tools. ETL is used as one of the most famous data tools. It collects data from various sources and then loads it into a centralized data warehousing. 

‘Not all tools are the same.’

Talking about efficiency and performance, it differs from one tool to another. Individuals and organizations as a whole look forward to selecting the best one for their data processing. Tools need to be chosen carefully because of their integral importance in data warehousing and analytics. 

We’ve come up with the seven best ETL testing tools for the year 2022. Through this blog, things will be made easier for you. 

Top 7 ETL tools to learn in 2020

7 best ETL tools for 2022 

  • Matillion 

Matillion, an ETL tool that works for cloud data warehousing. It is used by clients particularly interested in stacking data. This tool makes stacking of your data into a warehouse of decisions direct and basic. Through the use of this tool, clients stack data more often into Google BigQuery, Snowflake, or Amazon Redshift. Matillion has a great opportunity in front of it in regards to future expansion and scope. 

  • Fivetran 

It can be said as the ultimate need of data analysts. Fivetran is the fastest and smartest way to replicate your databases, applications, and events into a top-notch performance cloud warehouse. Fivetran makes your data teamwork easier and will eventually be desired more in the future. 

  • Workato

Workato can be identified as a known platform for data integration and automation. It enables both business and IT teams to automate their business workflows by integrating their apps. Workato doesn’t comprise governance and security along with providing real-time outcomes. Its technology is 10x faster than others and has a marketplace in 2022.  

  • Adverity 

This ETL apparatus is an end-to-end market analytics platform. Adverity helps make faster and better decisions and also improves performance across all marketing channels and campaigns. This ETL tool makes it easier to identify opportunities to generate more revenue and demonstrate marketing ROI. 

  • Stitch 

Stitch data loader is an ETL tool used for almost all organizations, from small to enterprise. Above 3,000 companies make use of Stitch for moving billions of records daily. The data is moved from SAAS applications and databases into data lakes and warehouses. It will continue to be a need of many organizations in the year 2022. 

  • Skyvia 

It is a universal SAAS platform, providing quick and easy solutions for many interrelated data tasks. It deals with tasks that don’t include coding, such as building reports and dashboards, cloud data backup, data integration, automation of workflows and CSV import/export, etc. 

  • Talend 

It can be identified as an open-source solution of ETL data integration. Talend includes data sources compatibility both in-cloud and on-premises. It includes features of management, productivity, monitoring, and data governance. It can be said as a useful all-purpose data integration tool that includes a clear and easy-to-understand interface. 



The future of ETL can be seen bright and high as it will be a source of providing a framework of data management. It’s a hybrid and comprehensive approach for managing massive data. Solutions provided by ETL in the future will cover the concept of data integrity and data quality, governance, and security.