watsonx.data integration

watsonx.data integration is a data integration tool that offers a unified experience for data teams to seamlessly handle real-time streaming, replication and bulk/batch integration patterns, without having to switch context or preselect the integration style. Modernize your data flows with a SaaS-based architecture that promotes reusability of data flows, enhances security and cost effectiveness, leveraging deployment flexibility across hybrid cloud environments. Boost data reliability with continuous monitoring of data quality issues with data observability.

With data observability, you can pinpoint unknown data incidents and reduce mean time to detection from days to minutes, while improving mean time to resolution from weeks to hours through incident alerting and real-time routing. Additionally, you can guarantee data delivery service-level agreements (SLAs) by providing visibility into data quality issues.

With real-time streaming, you can create streaming data flows with structured, semi-structured, or unstructured data, and insulate the flows from change and unexpected shifts using prebuilt processors designed to automatically identify and adapt to data drift. Additionally, you can build data flows that address low-latency data processing requirements.

With bulk/batch ETL/ELT capabilities for data integration, you can build reusable, repeatable data flows that can be deployed wherever data resides. Additionally, you can leverage robust connectors and prebuilt transformations that allow you to move and transform data seamlessly between multiple cloud sources and targets.

With data replication, you can synchronize structured data in real-time to ensure continuous data availability, while minimizing the impact of outages and ensuring high availability through seamless disaster recovery. To reduce costs, you can select specific types of source database updates to replicate to the target database.

With unstructured data integration, you can ingest unstructured data documents from diverse sources and transform them using pre-built operators. You can then use the transformed data for Retrieval-Augmented Generation (RAG) and agentic workflows. To enable the unstructured data integration capability, you must separately acquire the following services: watsonx.ai Studio, watsonx.ai Runtime, watsonx.data intelligence and watsonx.data.