Move and transform large volumes of complex data with high performance
ETL/ELT pipelines for mission critical workloads
IBM watsonx.data integration offers industry leading modernized extract, transform, load (ETL) and extract, load, transform (ELT) capabilities so that organizations can move and transform trusted data across multicloud and hybrid cloud environments for downstream use cases.
Directly load data from any source and deliver to any target with multiple authoring experiences, all while using watsonx.data integration’s built-in parallel engine for scalability and best in class performance.
Run your data pipelines close to the data—whether on-prem, in the cloud, across regions, or in hybrid environments—while optimizing for speed, cost-efficiency, and security.
From no-code to pro-code, intuitive design options support users of all experience levels in creating pipelines and delivering trusted data.
Harness high-speed, complex data transformation to move from design to deployment faster—powering more pipelines with less delay.
Built-in capabilities for data quality and governance ensure pipeline stability and reliable outcomes.
Features
Leverage a cloud-native control plane for pipeline design, paired with a secure execution data plane that runs where your data lives—reducing data movement, latency, and risk.
A single design experience lets you create reusable pipelines and switch seamlessly between ETL, ELT, and TETL execution modes based on your workload—no rework required.
A powerful parallel engine automatically splits tasks into many smaller operations that run at once—boosting throughput, scalability, and performance.
A comprehensive Python SDK gives developers full control to write maintainable pipelines at scale—while keeping parity with graphical flows and enabling easy toggling between code and UI.
Use natural language to generate batch pipelines with help from an AI chatbot—turning intent into pipelines faster with minimal manual setup.
Clean, validate, and standardize address data using IBM Address Verification Interface (AVI)—offering certified parsing, transliteration, geocoding, and reverse geocoding to ensure accuracy and consistency.
Leverage a cloud-native control plane for pipeline design, paired with a secure execution data plane that runs where your data lives—reducing data movement, latency, and risk.
A single design experience lets you create reusable pipelines and switch seamlessly between ETL, ELT, and TETL execution modes based on your workload—no rework required.
A powerful parallel engine automatically splits tasks into many smaller operations that run at once—boosting throughput, scalability, and performance.
A comprehensive Python SDK gives developers full control to write maintainable pipelines at scale—while keeping parity with graphical flows and enabling easy toggling between code and UI.
Use natural language to generate batch pipelines with help from an AI chatbot—turning intent into pipelines faster with minimal manual setup.
Clean, validate, and standardize address data using IBM Address Verification Interface (AVI)—offering certified parsing, transliteration, geocoding, and reverse geocoding to ensure accuracy and consistency.
Use cases
Seamlessly migrate data from diverse on-prem systems—including legacy warehouses—to modern cloud platforms using watsonx.data integration. Gain improved speed and cost-efficiency over traditional ETL solutions.
Move transformed data across hybrid or multi-cloud environments into lakehouses or cloud warehouses to unlock analytics, drive insights, and support smarter decision-making.
Simplify complex data integration during M&A activity by unifying disparate datasets with built-in discovery, metadata management, and lineage tracking. Watsonx.data integration replaces niche ETL tools with a single solution capable of handling broader enterprise needs.
Transform high-volume transactional data for regulatory reporting and business intelligence. Batch processing minimizes system strain and cuts operational costs.
Unify patient data from fragmented systems for analytics and compliance. Track end-to-end data transformations to support regulatory and audit requirements.
Consolidate and standardize customer data from various operational sources. watsonx.data integration enables centralized analytics to power personalized marketing and business optimization.
