IBM watsonx.data integration

Description

Watsonx.data integration provides unified tools that you can use to transform, integrate, and observe your data. You can use a range of diverse data integration styles, such as streaming, replication, observability, and bulk or batch processing.

Transform batch data

Transform batch data with DataStage to create batch data flows that extract data from multiple source systems, transform the data as required, and deliver the data to target systems. Batch data flows support extract, transform, and load (ETL) and extract, load, and transform (ELT) patterns.

Stream real-time data

Stream real-time data with StreamSets to create streaming data flows that act on time-sensitive data. A streaming data flow runs continuously to read, process, and write data as soon as the data becomes available. Streaming data flows support light in-flight transformations.

Replicate data

Replicate data with Data Replication to build a replication pipeline that synchronizes data between a source and target data store. Data Replication provides near-real-time data delivery with low impact to sources.

Prepare unstructured data

Prepare unstructured data with Unstructured Data Integration to ingest, transform, and enrich unstructured data from diverse sources.

Observe data

Create alerts with Data Observability to notify you when a data integration process encounters errors or behaves differently than you expect. For example, you can set up alerts that monitor DataStage job status. Investigate data incidents with Data Observability to solve any problems or issues that occur in data quality, integrity, and access.

Licensing information

Quick links

• Install: Install the service
• Use: Work with the service
• Administer: Manage and maintain the service
• What's new: See a list of new features

Integrated services