Extraction, Transformation and Load
Modern ETL tool stack has a variety of options - from "do it all" end to end tools, to highly purpose-specific components that are responsible for one narrow area of an ETL process.
dbt
Modern ETL tool stack has a variety of options - from "do it all" end to end tools, to highly purpose-specific components that are responsible for one narrow area of an ETL process.

Azure Data Factory
Modern ETL tool stack has a variety of options - from "do it all" end to end tools, to highly purpose-specific components that are responsible for one narrow area of an ETL process.
Google Dataform
Google Dataflow
Modern ETL tool stack has a variety of options - from "do it all" end to end tools, to highly purpose-specific components that are responsible for one narrow area of an ETL process.
Informatica Cloud
Modern ETL tool stack has a variety of options - from "do it all" end to end tools, to highly purpose-specific components that are responsible for one narrow area of an ETL process.
IBM DataStage
Modern ETL tool stack has a variety of options - from "do it all" end to end tools, to highly purpose-specific components that are responsible for one narrow area of an ETL process.
Pentaho Data Integration
Choosing the right data platform shapes everything that happens downstream and has great implications on data availability, performance of your solution, and ultimately the capacity of your ecosystem to fully meet the business needs.
Oracle Data Integrator
Modern ETL tool stack has a variety of options - from "do it all" end to end tools, to highly purpose-specific components that are responsible for one narrow area of an ETL process.
SAP Data Services
Modern ETL tool stack has a variety of options - from "do it all" end to end tools, to highly purpose-specific components that are responsible for one narrow area of an ETL process.