Managing expectations of artificial intelligence (AI) capabilities without addressing data proliferation and inaccessibility is the most immediate data leadership challenge. Data teams are struggling with siloed data, real-time data processing and data quality issues. Technical debt, tool sprawl and skills shortage further intensify these challenges.
IBM watsonx.data integration offers a unified control plane, allowing you to seamlessly work with extract, transform, load (ETL) or extract, load, transform (ELT) data pipelines, real-time streaming pipelines and data replication jobs, eliminating the need for fragmented tools. It provides the adaptability to deploy and execute pipeline anywhere, whether on cloud, on-premises or hybrid environments. With its continuous data observability capability, you can manage data pipeline health, ensuring quick detection and remediation of issues.
Transform raw data into AI-ready data and help ensure access to trusted and consistent data at speed and at scale.
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Unify diverse data sources, power model training and enhance AI's contextual understanding and capabilities.
Match integration styles to meet SLAs on performance, cost, latency, availability, quality and security.
Ingest data from applications regardless of where data resides in the data fabric—on-premises, in the cloud or in a hybrid environment.
IBM watsonx.data integration provides a unified control plane to enable you to seamlessly integrate any data, using any style, eliminating tool sprawl and technical debt.
IBM StreamSets enables streaming data pipelines through an intuitive graphical interface, facilitating seamless data integration across hybrid and multicloud environments.
IBM DataStage is an industry-leading data integration tool that helps you design, develop and run jobs that move and transform data.
IBM Databand is observability software for data pipelines and warehouses that automatically collects metadata to build historical baselines, detect anomalies and triage alerts to remediate data quality issues.
Create a well-designed data pipeline that uses the right integration style, whether ETL, ELT, all-at-once ingestion or change data capture (CDC), in batches or in real time.
Embed data integration capabilities anywhere in your existing hybrid, multicloud infrastructure, and manage everything with a single control plane.
Build reusable data pipelines that work regardless of technology shifts, including changes to underlying data storage architecture.
Detect data incidents earlier with continuous data observability, resolve them faster, and deliver higher-quality data to the business.
Manage all data types—structured, semistructured and unstructured—from a single platform.
Use cases
Create resilient, high performing and cost optimized data pipelines for your generative AI (gen AI) initiatives, real-time analytics, warehouse modernization and operational needs.
Explore the strategic steps to design and implement a data strategy that drives business advantage.
Access the report to learn why IBM has been named a Leader in the 2024 Gartner® Magic Quadrant™ for Data Integration Tools, yet again.
Learn how a multicloud data integration strategy can democratize data.