IBM DataStage Features

As reported in 11 IBM DataStage reviews. View ETL process data via reports and visualizations like charts and graphs.

Record ETL historical data for auditing and potential data correction needs. This feature was mentioned in 10 IBM DataStage reviews.

As reported in 12 IBM DataStage reviews. Extract data from the designated source(s) like relational databases, JSON files, and XML files.

Cleanse and re-format extracted data to the needed target format. 12 reviewers of IBM DataStage have provided feedback on this feature.

Load reformatted data into target database, data warehouse, or other storage location. 12 reviewers of IBM DataStage have provided feedback on this feature.

Arrange ETL processes to occur automatically on needed time schedule (e.g., daily, weekly, monthly). 12 reviewers of IBM DataStage have provided feedback on this feature.

As reported in 12 IBM DataStage reviews. Capable of scaling processing power up or down based on ETL volume.

As reported in 13 IBM DataStage reviews. Creates a visual map of the data from the source to the target database for the user to see.

Transforms the data into the appropriate format before being transferred. 13 reviewers of IBM DataStage have provided feedback on this feature.

Moves the data from one database to another. 13 reviewers of IBM DataStage have provided feedback on this feature.

Based on 13 IBM DataStage reviews. The software can process numerous type of data and formats.

The software can create the data map with no use of code. This is typically done via drag-and-drop. This feature was mentioned in 13 IBM DataStage reviews.

Allows the data to be merged or executed before being mapped and transformed. This feature was mentioned in 13 IBM DataStage reviews.

Offers built-in analytics functionality. This feature was mentioned in 12 IBM DataStage reviews.

Offers reporting functionality. 11 reviewers of IBM DataStage have provided feedback on this feature.