IBM® DataStage® products offer industry-leading real-time data integration for access to trusted data across data lakes and multicloud and hybrid cloud environments for AI. Real-time analytics is now easier than ever, with a cloud-native architecture built on containers and microservices and a best-of-breed parallel engine. DataStage solutions can be deployed on hyperconverged systems such as IBM Cloud Pak® for Data, as a managed service on IBM Cloud®, or on premises.
IBM DataStage on IBM Cloud Pak for Data allows you to simplify operations by automating and accelerating administration tasks to reduce total cost of ownership (TCO) and meet business service-level agreements (SLAs). Avoid vendor lock-in by deploying on any cloud or multicloud environment, and leverage industry-leading security, reliability and scalability from Red Hat® OpenShift®.
Accelerate DataOps and AI innovation through automated integration templates and seamless out-of-the-box integration with governance, BI, data virtualization and data science services with IBM DataStage on IBM Cloud Pak for Data.
Design once, run anywhere with built-in workload balancing, parallelism and dynamic scalability
Separate the design from the runtime to run remote jobs where your data resides. A parallel engine optimizes extract, transform and load (ETL) performance, and automatic load balancing maximizes throughput while scaling with your data volumes.
Automated delivery pipelines to release jobs to production
Container-based integration components along with git-based source control tooling allow for automation of CI/CD pipelines for jobs from dev to test to production.
User-friendly design with infused ML capabilities and rich set of connectors and transformations
IBM DataStage Flow Designer, with infused machine learning capabilities, built-in search and prebuilt connectors and transformations, allows you to quickly create and run DataStage jobs and connect with governance.
In-flight data quality and data security for trusted data delivery
Automatically resolve quality issues using IBM InfoSphere® QualityStage® when data is ingested by target environments such as data lakes. Provide metadata support for policy-driven access to sensitive data.
Seamless integration with Netezza, Db2 and other warehouses
Prebuilt connectors allow you to quickly connect and move data between cloud data sources and IBM data warehouses on IBM Cloud Pak for Data System.
Job templates to auto-generate jobs
Quickly create reusable job templates to auto-generate jobs and use custom rules to enforce patterns.
IBM Cloud Pak for Data enhances DataOps to deliver agility and reduce risk and costs.
IBM Cloud Pak for Data enhances DataOps to deliver agility and reduce risk and costs.Read the blog post
IBM DataStage clients paving the way with AI-powered data integration
Danske Bank, the largest Danish Bank and one of the largest banks in the Nordics, uses IBM DataStage on IBM Cloud Pak for Data to feed data from various sources into their data warehouse and data lake environment. They have chosen IBM Watson® Knowledge Catalog on IBM Cloud Pak for Data as an important piece of their data governance strategy for data lineage across the bank, allowing business users to search, find and use relevant quality data through self service.
Gazprombank, one of the largest banks in Russia, is using IBM InfoSphere Information Server with IBM DataStage as the main ETL tool for data movement and transformation, and for improving quality and managing data within their enterprise data warehouse environment.
LocalTapiola, the leading non-life insurer in Finland, covering all types of voluntary and statutory non-life insurance, uses IBM DataStage to move data between their operational systems. This includes the loading of their data warehouses and data marts as well as the integration of data from operational systems to their IBM InfoSphere Master Data Management-powered system.
NNIT is one of Denmark's leading IT service providers, developing, implementing, operating and advising on IT solutions across industries in 12 countries worldwide. NNIT is using IBM DataStage to execute data transformation jobs for their customers, ensuring availability of the right data at any time.