Data integration solutions

Deliver actionable data at speed and at scale

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Real-world impact: from data strategy to AI innovation

 

Discover how one organization leverages trusted data to power AI and combat financial crime. Join this concise, insight-packed webinar and gain practical strategies to accelerate your own AI roadmap on December 10th.

 

 

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Tailored data integration for your hybrid world

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.

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IBM is named a Leader in the 2025 IDC MarketScape for Worldwide Data Integration Software Platforms

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Democratize data access

Unify diverse data sources, power model training and enhance AI's contextual understanding and capabilities.

Pick the right integration pattern

Match integration styles to meet SLAs on performance, cost, latency, availability, quality and security.

Eliminate data silos 

Ingest data from applications regardless of where data resides in the data fabric—on-premises, in the cloud or in a hybrid environment.

Cost optimized pipeline

Create resilient, high performing and cost optimized data pipelines for your generative AI (gen AI) initiatives, real-time analytics, warehouse modernization and operational needs.

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The future is hybrid data integration

 

 

Join us for an insightful webinar to know why hybrid data integration is emerging as the optimal strategy for modern organizations.

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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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Use cases

Screenshot of IBM Cloud Pak for data UI, showing how to create a new connection
Provide trusted and timely data to AI

Unifies diverse data sources, powers model training and enhances AI's contextual understanding and capabilities.

Screenshot of IBM Cloud Pak for data UI, showing real-time analytics
Simplify real-time data integration

Enable real-time analytics and timely decision making with reliable and easy-to-create streaming data pipelines.

Screenshot of IBM Cloud UI, showing data analysis and organization
Turn raw data into quality information fast

Quickly transform large amounts of raw data from any format, complexity or size into consumable, quality information.

Screenshot of IBM Cloud Pak for data UI, showing data organizing
Break down data silos

Gain a single view of data across different data types and sources without data movement and in a secure, governed fashion.

Screenshot of IBM Cloud Pak for data UI, showing data receive
Deliver reliable data

Detect unknown data incidents earlier, resolve them faster, deliver reliable and readily consumable data.

Screenshot of IBM Cloud Pak for data UI, showing how to create a new connection
Provide trusted and timely data to AI

Unifies diverse data sources, powers model training and enhances AI's contextual understanding and capabilities.

Screenshot of IBM Cloud Pak for data UI, showing real-time analytics
Simplify real-time data integration

Enable real-time analytics and timely decision making with reliable and easy-to-create streaming data pipelines.

Screenshot of IBM Cloud UI, showing data analysis and organization
Turn raw data into quality information fast

Quickly transform large amounts of raw data from any format, complexity or size into consumable, quality information.

Screenshot of IBM Cloud Pak for data UI, showing data organizing
Break down data silos

Gain a single view of data across different data types and sources without data movement and in a secure, governed fashion.

Screenshot of IBM Cloud Pak for data UI, showing data receive
Deliver reliable data

Detect unknown data incidents earlier, resolve them faster, deliver reliable and readily consumable data.

Case study

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Data engineering AutoDesk success story A reactive approach to resolving data incidents. Read the case study
Read the case study

Related solutions

Featured resources

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A paradigm shift in data integration
Announcing watsonx.data integration, the new way forward for data engineering.
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Is your data ready for gen AI?
High-quality data is essential for businesses to make informed decisions, drive innovation, and stay competitive.
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IBM was named a Leader for the 19th year in a row
IBM named a Leader for the 19th year in a row in the 2024 Gartner® Magic Quadrant™ for Data Integration Tools.
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Data integration for data leaders
This ebook explores the complex data integration landscape, solutions and real-life examples to help achieve effective data integration.
Take the next step

Design data pipelines for reliable, real-time data at scale. 

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