ETL/ELT modernized with IBM DataStage

Transform data silos into AI-ready data 

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Introducing IBM® watsonx.data integration, the new way forward for data engineering

 

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Powering the world’s mission critical workloads   

IBM DataStage is an industry-leading data integration solution supporting extract, transform, load (ETL) and extract, load, and transform (ELT) patters so that organizations can connect disparate sources, transform large volumes of complex data at scale, and deliver trusted data across multicloud and hybrid cloud environments for analytics and AI. 

The powerful capabilities of DataStage are now available within watsonx.data integration to create reusable pipelines across any integration style - batch, real-time streaming, replication, data observability and data types, including unstructured.  

Benefits
Design pipelines once, run anywhere

Flexibility to execute your data pipelines wherever your data resides - in any region, on-premises, cloud, or hybrid cloud, optimizing for cost, performance, and security. 

Empower any user  

Simplified pipeline design offers no-code, low-code, and pro-code options—enabling users of all skill levels to build pipelines and deliver high-quality data.

Execute more data pipelines, faster  

Scale data transformation with high-performance processing, accelerating time from design to production.

Built-in reliability 

Integrated observability, quality, lineage, and governance help minimize pipeline anomalies and deliver more trustworthy data. 

Capabilities

Remote engine deployment ETL/ELT flexibility Parallel processing engine Python SDK AI pipeline assistant Data quality transformations

Use cases

Cloud modernization Data lakehouse/warehouse migration Mergers & acquisitions Banking Healthcare Retail
Customer reviews BI / ETL Developer - IT Services

"Datastage is a powerful tool that allows us to define ETL / Data Integration processes in a very simple way. It allows us to integrate data from multiple sources and coordinate the ETL processes in a single tool."

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Data Integration Engineer Leader

"Overall experience is good. I have been working with Datastage since last 5 years. The tool is easy to learn and has a wide variety of options to transform data. The version upgrade was simple, it was easy to deploy entire projects across different environments."

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