12 Best ETL Tools 2022

A large number of ETL tools are available on the market in 2022, and according to their infrastructure and supporting organizations or vendors, they could be divided into four categories, namely, enterprise software ETL tools, open source ETL tools, cloud-based ETL tools, and custom ETL tools. However, with so many ETL tools out there, it is a far from easy to find the best ones. If you happen to be looking for the best ETL tools, then you’ve come to the right place. To make your life easier, Gudu SQLFlow team compiled a list of the best ETL tools 2022 based on their use case, budget, capabilities, data sources, and technical literacy.

Best ETL Tools

As a data lineage analysis tool, Gudu SQLFlow can not only analyze SQL script files, obtain data lineage, and perform visual display, but also allow users to provide data lineage in CSV format and perform visual display. Without further ado, here is our list of the 12 best  ETL tools available on the market of 2022.

Best ETL Tools – 1. IBM DataStage

Type: Enterprise

IBM DataStage is a data integration tool built around a client-server design to create and execute tasks from a Windows client against a central data repository on a server, designed to support ETL and Extract, Load, and Transform (ELT) models and enable data integration across multiple sources and applications while maintaining high performance. Built for on-premise deployment, IBM DataStage is also available in a cloud-enabled version: DataStage for IBM Cloud Pak for Data.

Best ETL Tools – 2. Oracle Data Integrator

Type: Enterprise

As a platform designed to build, manage, and maintain cross-organizational data integration workflows, Oracle Data Integrator (ODI) supports all data integration requests from high-volume bulk loads to service-oriented architecture data services. In addition, to speed up data processing, it supports parallel task execution and provides built-in integration with Oracle GoldenGate and Oracle Warehouse Builder. Through the Oracle Enterprise Manager, ODI and other Oracle solutions can be monitored for greater visibility across the toolstack.

Best ETL Tools – 3. Informatica PowerCenter

Type: Enterprise

As a metadata-driven platform focused on improving collaboration between business and IT teams and simplifying data pipelines, Informatica PowerCenter parses advanced data formats, including JSON, XML, PDF, and iot machine data, and automatically validates transformed data to perform defined standards. It also has pre-built transformations that are easy to use and provide high availability and optimized performance to scale to meet computing needs.

Best ETL Tools – 4. SAS Data Management

Type: Enterprise

As a data integration platform, SAS Data Management is designed to connect any data that exists, including clouds, legacy systems, and data lakes. These integrations provide a holistic view of the organization’s business processes. By reusing data management rules and empowering non-IT stakeholders to extract and analyze information within the platform, the tool optimizes workflow. In addition, another feature of SAS Data Management is that it is very flexible, the tool can work in a variety of computing environments and databases, and can also integrate with third-party data modeling tools to produce compelling visualizations.

Best ETL Tools – 5. Talend Open Studio

Type: Open Source

As an open source tool, Talend Open Studio is designed to quickly build data pipelines. Data components can be connected to run jobs from Excel, Dropbox, Oracle, Salesforce, Microsoft Dynamics, and other data sources via Open Studio’s drag-and-drop GUI. With built-in connectors, Talend Open Studio can extract information from a variety of environments, including relational database management systems, software-as-a-service platforms and packaged applications.

Best ETL Tools – 6. Pentaho Data Integration

Type: Open Source

The tool manages the data integration process, including capturing, cleaning, and storing data in a standardized and consistent format, sharing this information with end users for analysis, and enabling data access from IoT technologies to facilitate machine learning. Additionally, Pentaho Data Integration (PDI) also provides the Spoon desktop client for use in building transformations, scheduling jobs, and manually starting processing tasks when needed.

Best ETL Tools – 7. Singer

Type: Open Source

As an open source scripting technology, Singer is designed to enhance the transfer of data between an organization’s applications and storage. The tool defines the relationship between data extraction and data loading scripts and allows information to be extracted from any source and loaded to any destination. These scripts use JSON, so they can be accessed in any programming language. Additionally, they support rich data types and enforce data structure through JSON Schema.

Best ETL Tools – 8. Hadoop

Type: Open Source

Apache Hadoop software library is a framework which is designed to support processing large data sets by distributing computing load across clusters of computers. Designed to detect and handle failures at the application and hardware layers, the library provides high availability, and combines the computing power of multiple machines. The framework also supports job scheduling and cluster resource management through the Hadoop YARN module.

Best ETL Tools – 9. Dataddo

Type: Cloud

As a code-free, cloud-based ETL platform, Dataddo gives technical and non-technical users the flexibility to integrate data and provides a wide range of connectors, fully customizable metrics, a central system for managing all data pipelines simultaneously, and seamless integration into existing technology architectures. Users can deploy pipelines within minutes of account creation, and all API changes are managed by the Dataddo team, so there is no need to maintain pipelines. New connectors can be added within 10 business days upon request. The platform is GDPR, SOC2 and ISO 27001 compliant.

Best ETL Tools – 10. AWS Glue

Type: Cloud

AWS Glue provides a cloud-based data integration service which supports visualization and code-based clients to support technical and non-technical business users. The serverless platform provides a variety of capabilities to offer additional capabilities, like AWS Glue data directory for finding data across the organization and AWS Glue Studio for visually designing, executing, and maintaining ETL pipelines. Also, it should be pointed out that AWS Glue also supports custom SQL queries for more actual data interaction.

Best ETL Tools – 11. Azure Data Factory

Type: Cloud

As a serverless data integration service, Azure Data Factory is built on a pay-as-you-go model which scales to meet computing demands. The service provides no-code and code-based interfaces to pull data from over 90 built-in connectors. Additionally, Azure Data Factory integrates with Azure Synapse Analytics to offer advanced data analysis and visualization. Also, it’s worth mentioning that the platform also supports Git for version control and continuous integration/continuous deployment workflows for DevOps teams.

Best ETL Tools – 12. Google Cloud Dataflow

Type: Cloud

As a fully hosted data processing service, Google Cloud Dataflow is designed to optimize computing power and automate resource management. The service focuses on reducing processing costs through flexible scheduling and automatic resource scaling to ensure usage matches demand. In addition, Google Cloud Dataflow provides AI capabilities that support predictive analytics and real-time anomaly detection during data conversion.

Conclusion

Thank you for reading our article and if you’ve enjoyed it, we would be very happy. However, since there are hundreds of ETL tools available online, please forgive us if our list doesn’t include your favorites. Feel free to leave a comment below to let us know which ETL tools you like best and we’ll update this list very soon. (Published by Ryan on May 4, 2022)