A paradigm shift in data integration is here: Introducing watsonx.data integration

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Author

Scott Brokaw

Vice President, Product, Data Integration

IBM

Today, IBM is introducing watsonx.data integration to help organizations scale reliable data delivery for analytics and AI, while liberating data teams from the constraints of fragmented and tool-focused approaches through a single data integration control plane.

The problem of constant data storage shifts

Poorly designed data integration strategies can impede the delivery of high-quality, secure and compliant data, undermining real-time analytics, AI initiatives, data warehouse modernization and other strategic projects.

As the volume of data pipelines increases, data engineers are finding it challenging to manage cost, performance and quality considerations. The majority of data engineers spend 50% or more of their time to merely maintain existing pipelines and infrastructure, and 95% of IT leaders report integration issues are impeding AI adoption.

Businesses are grappling with the relentless cycle of data storage paradigm shifts. This perpetual change has brought an overwhelming proliferation of data integration tools, data pipelines that are hard to maintain, and diminished long-term value of data assets. The scarcity of data engineering talent and the inability to reuse existing pipelines have resulted in substantial costs and technical debt.

A paradigm shift in data integration

Imagine a world where you're not forced to rewrite data pipelines with every emerging trend, where business logic within data pipelines is decoupled from storage infrastructure. Picture an approach where you can build for a business outcome without having to pick a style of integration (real-time streaming, batch ETL/ELT, or replication). Let’s stop data teams from having to context-switch or force-fit requirements into point solutions. What if your data engineers have the flexibility to work with their preferred authoring experience across no-code, low-code, and code-first to best leverage existing skills within your organization?

With watsonx.data integration, IBM offers a unified control plane to create reusable pipelines decoupled from a single integration style or storage architecture, eliminating reliance on specialized tools. It is the only adaptive data integration solution designed to reduce time spent on maintaining and rewriting old pipelines and eliminate tool sprawl while optimizing for cost and performance.

Watsonx.data integration is designed to offer several benefits to future proof your data integration strategy:

  • No more tool sprawl: With watsonx.data integration, data teams can construct data pipelines that can integrate both structured and unstructured data, blending various integration styles, including batch, replication and real-time data integration, underpinned by robust data observability capabilities. Goodbye, multi-tool juggling act!
  • Flexible pipeline creation: Regardless of whether your team prefers no-/low-code or code-first methods, watsonx.data integration has got you covered. Its user-friendly design canvas caters to a wide range of skill levels, further aided by an AI-powered pipeline-building assistant to simplify pipeline creation and maintenance.
  • FinOps and performance optimization: Adapt your pipelines to meet workload demands by dynamically optimizing for cost, performance, and other requirements. Remote engines and ELT Pushdown capabilities ensure optimal performance by processing data where it resides in your hybrid cloud environments, all while minimizing egress costs through reduced data movement.
  • Adapt to technology shifts with reusable pipelines: The architecture of watsonx.data integration decouples the pipeline design plane from the underlying storage architecture and execution engines, allowing you to focus on what matters by reusing data pipelines and reducing redundant rewrites.
  • Proactive issue detection and remediation: Embedded data observability capabilities facilitate continuous monitoring of data quality, ensuring swift identification of data issues and prompt resolution. This not only fosters trust in data but also enhances overall data integrity.
  • Build for AI and have AI help you build: Ingest, transform and deliver unstructured data to fuel your AI with reliable data. Streamline data pipeline creation, deployment and maintenance by leveraging AI-augmented pipeline building assistants (text2SQL), low-code pipeline authoring, integration with DevOps tools and automatic adaptability to data drifts.

Simplify integration, supercharge AI 

Watsonx.data integration allows organizations to deliver AI-ready data with any integration style through a single data integration control plane. Organizations will no longer need to constantly rewrite pipelines with every new technology shift and can embrace a future of flexible, efficient and reliable data delivery. Watsonx.data integration is available as a standalone product or as an integrated capability within IBM watsonx.data for organizations seeking data integration, data lakehouse, and data intelligence capabilities together.

Join us live for this IBM webinar where we'll delve into how watsonx.data integration can empower data teams to scale data delivery for AI and analytics initiatives, or book a live demo to gain personalized advice on how watsonx.data integration can help your organization minimize tool sprawl, reduce technical debt and optimize cost and performance of your data pipelines. Together, let's redefine the boundaries of what's possible with data integration.

Learn how you can scale the delivery of reliable data to accelerate AI-powered innovation within your enterprise.

Explore the watsonx.data integration page