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IBM® DataStage® is an industry-leading data integration tool that helps you design, develop and run jobs that move and transform data. At its core, the DataStage tool supports extract, transform and load (ETL) and extract, load and transform (ELT) patterns. A basic version of the software is available for on-premises deployment, but to reduce data integration time and costs, upgrade to DataStage for IBM Cloud Pak® for Data and experience powerful automated integration capabilities in a hybrid or multicloud environment.
Seamlessly ingest prepared, actionable data into data lakehouses, including watsonx.data, with improved features to simplify data management. Read the blog for more details.
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IBM Cloud Pak for Data is a cloud-native insight platform built on the Red Hat® OpenShift® container orchestration platform. It integrates the tools needed to collect, organize and analyze data within a data fabric architecture. It dynamically and intelligently orchestrates data across a distributed landscape, to create a network of instantly available information for data consumers. IBM Cloud Pak for Data can be deployed on-premises, as a service on IBM Cloud® or on any vendor’s cloud.
DataStage is available as an add-on to an IBM Cloud Pak for Data software license or as a service through IBM Cloud Pak for Data as a Service.
Run workloads 30% faster with workload balancing and a parallel engine.¹
Bring data integration to your data. Design jobs once and move runtimes to where data resides.
Extend capabilities while preserving existing DataStage investments.
Use governance capabilities on IBM Cloud Pak for Data.
Included with the purchase of IBM DataStage, S&S provides real-time access to new software versions, releases, and fixes plus 24x7x365 technical support to help maximize software performance.
Manage the data and analytics lifecycle on the IBM Cloud Pak for Data platform. Services include data science, event messaging, data virtualization and data warehousing.
Process data at scale by optimizing ETL performance with a best-in-breed parallel engine and load balancing that maximizes throughput.
Protect sensitive data with metadata exchange using IBM Knowledge Catalog. Use data lineage to see how data flows through transformation and integration.
Automate continuous integration/continuous delivery (CI/CD) job pipelines from development to testing to production and help reduce development costs.
Use prebuilt connectivity and stages to move data between multiple cloud sources and data warehouses, such as IBM Netezza® and IBM Db2® Warehouse SaaS
Increase developer productivity with machine learning-assisted design in a user-friendly interface, helping cut development costs.
Trust data delivery using IBM InfoSphere® QualityStage® to automatically resolve quality issues when data is ingested by target environments.
Reduce infrastructure management effort by 65% - 85%, allowing users to focus on higher-value tasks.²
Execute cloud runtimes remotely wherever the data resides, while maintaining data sovereignty and minimizing costs.
Access all the latest capabilities available as part of IBM DataStage on IBM Cloud Pak for Data as a Service, a subscription model for a set of integrated services fully managed on IBM Cloud.
Add IBM DataStage Enterprise (or IBM DataStage Enterprise Plus) to IBM DataStage on IBM Cloud Pak for Data as a Service to run workloads on-premises or on any cloud.
Run basic ETL jobs on-premises using IBM DataStage on IBM Cloud Pak for Data as a Service. Parallel processing and enterprise connectivity delivers a scalable platform.
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An open, extensible data and AI platform that runs on any cloud. Check out the solution to deliver reliable data for all.
An end-to-end data integration platform to help you cleanse, monitor, transform and deliver quality data.
Understand the transformations and perform impact analysis by combining Manta and DataStage. Improve your data management, risk and impact analyses with automated workflows and easy-to-view data maps.
"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."
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