IBM DataStage Features

View ETL process data via reports and visualizations like charts and graphs. 11 reviewers of IBM DataStage have provided feedback on this feature.

Record ETL historical data for auditing and potential data correction needs. 10 reviewers of IBM DataStage have provided feedback on this feature.

Extract data from the designated source(s) like relational databases, JSON files, and XML files. 12 reviewers of IBM DataStage have provided feedback on this feature.

As reported in 12 IBM DataStage reviews. Cleanse and re-format extracted data to the needed target format.

Based on 12 IBM DataStage reviews. Load reformatted data into target database, data warehouse, or other storage location.

As reported in 12 IBM DataStage reviews. Arrange ETL processes to occur automatically on needed time schedule (e.g., daily, weekly, monthly).

Capable of scaling processing power up or down based on ETL volume. 12 reviewers of IBM DataStage have provided feedback on this feature.

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

Based on 13 IBM DataStage reviews. Transforms the data into the appropriate format before being transferred.

As reported in 13 IBM DataStage reviews. Moves the data from one database to another.

The software can process numerous type of data and formats. This feature was mentioned in 13 IBM DataStage reviews.

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.

As reported in 12 IBM DataStage reviews. Offers built-in analytics functionality.

As reported in 11 IBM DataStage reviews. Offers reporting functionality.