Transform data silos into AI-ready data
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.
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.
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.
Scale data transformation with high-performance processing, accelerating time from design to production.
Integrated observability, quality, lineage, and governance help minimize pipeline anomalies and deliver more trustworthy data.
Capabilities
Separation between a fully managed, cloud-based control plane for designing pipelines and a secure data plane for execution wherever data resides, minimizing egress/ingress, latency, and security risks.
Singular design interface allows users to create reusable pipelines and choose runtime style depending on the use case - toggle between ETL/ELT/TETL runtimes without manual re-coding.
Best-in-class parallel processing engine executes jobs concurrently with automatic pipelining that divides data tasks into numerous small, simultaneous operations, enhancing speed, scalability, and performance.
Full-featured software development kit (SDK) enables programmatic users to build and maintain pipelines in their language of choice—while preserving the reusability of graphical pipelines and offering the flexibility to switch between code and graphical user interface (GUI).
Build DataStage pipelines entirely using natural language. Leverage an interactive chatbot to type intent and get started developing pipelines faster and easier than ever before.
IBM Address Verification Interface (AVI) verifies, organizes, and transforms address data with CASS certification, parsing, transliteration, geocoding, and reverse geocoding.
Use cases
Move data from heterogenous on-prem sources, including data warehouses, to cloud data stores using DataStage’s modern ETL pipelines and experience better performance and cost efficiency compared to traditional technologies.
Leverage DataStage to move transformed data across hybrid and multi-cloud environments into a data lakehouse to enable insights and support analytics for empowering data-driven decision making.
Employ DataStage to merge large volumes of heterogenous data with data discovery and metadata management to help users streamline ETL processes and understand data lineage across complex consolidation projects. Replace smaller, specialized ETL tools with DataStage to address a broader range of use cases.
Use DataStage to transform transactional data for analytics and reporting. Batch processing reduces system load, optimizes resources, and lowers operational costs.
Integrate large volumes of patient records from disparate sources in preparation for analytics and reporting. DataStage tracks origin and transformation of data across pipeline, helping ensure regulatory compliance.
Using DataStage, aggregate customer data from transactional and operational systems, transform it into a standardized format, and load it into a centralized data store for reporting and advanced analytics to enable personalized marketing.
"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."
"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."
IBM® watsonx.data integration unifies your data—structured and unstructured—across all integration styles and storage architectures, helping it become AI ready.
watsonx.data intelligence discovers, curates, and governs data assets, turning raw information into accurate AI and meaningful insights across on-prem and cloud environments.
IBM® watsonx.data® shatters traditional lakehouse limitations, pioneering new standards for data integration, enrichment and governance that foster more accurate AI.
Footnotes
1 Workload balancing with IBM DataStage on IBM Cloud Pak for Data, November 2020
2 Forrester, New Technology: The Projected Total Economic Impact Of IBM Cloud Pak For Data, February 2020