IBM watsonx.data integration is a data integration tool that offers a unified experience for data teams to seamlessly handle diverse data integration styles.
Capabilities of IBM watsonx.data integration include:
Bulk/batch ETL/ELT
You can build reusable, repeatable data flows that can be deployed wherever data resides
Real-time streaming
You can create streaming data flows with structured, semi-structured, or unstructured data, and insulate the flows from change and unexpected shifts using prebuilt processors designed to automatically identify and adapt to data drift
Data observability
You can pinpoint unknown data incidents and reduce mean time to detection from days to minutes, while improving mean time to resolution from weeks to hours through incident alerting and real-time routing
Unstructured data integration
You can ingest unstructured data documents from diverse sources and transform them using pre-built operators. You can then use the transformed data for Retrieval-Augmented Generation (RAG) and agentic workflows
To enable the unstructured data integration capability, you must separately acquire watsonx.ai Runtime and watsonx.data. You may optionally acquire watsonx.data intelligence for additional unstructured data governance functionality
Capabilities vary by region. For the most current regional capability matrix, refer to "Regional availability of the watsonx.data integration service" within IBM documentation.
IBM InfoSphere QualityStage Address Verification Interface (AVI) is available via private offering
Highlights
Integrated capabilities: Unified control plane and interface for bulk/batch, real-time streaming, data observability and unstructured data integration
Personal authoring experience: Eliminate skill compromise by providing multiple pipeline authoring entry points across engineering modalities of no code, low code, or SQL
AWS Marketplace now accepts line of credit payments through the PNC Vendor Finance program. This program is available to select AWS customers in the US, excluding NV, NC, ND, TN, & VT.
Pricing is based on the duration and terms of your contract with the vendor, and additional usage. You pay upfront or in installments according to your contract terms with the vendor. This entitles you to a specified quantity of use for the contract duration. Usage-based pricing is in effect for overages or additional usage not covered in the contract. These charges are applied on top of the contract price. If you choose not to renew or replace your contract before the contract end date, access to your entitlements will expire.
Additional AWS infrastructure costs may apply. Use the AWS Pricing Calculator to estimate your infrastructure costs.
Includes a total of 4,800 Resource Units for 12 months (165 VPCs for bulk/batch, or 114 VPCs for real-time streaming, or 4,800 Observed Assets, or 10 Million Pages for unstructured data)
Pricing centers on the Premium contract, which gives you 4,800 Resource Units over 12 months. You can spend those units across bulk/batch pipelines, real-time streaming, observed assets, or unstructured data pages, so the same pool covers different integration styles. Two separate overage charges apply when you use more Resource Units than your contract covers. One overage rate applies to Annual Subscriptions, the other to Monthly Subscriptions. These overage charges are usage-based add-ons, billed only when you exceed the contracted amount.
Top-of-mind questions for buyers
What does one Resource Unit measure, and how do I know how many I use?
A Resource Unit is a shared credit you spend across integration styles. Your 4,800 units can cover about 165 VPCs for bulk/batch, 114 VPCs for real-time streaming, 4,800 observed assets, or 10 million pages for unstructured data. The mix you choose determines how fast the pool depletes.
What happens if I use more Resource Units than my contract includes?
You are charged an overage rate for units used beyond the contracted 4,800. Two separate overage rates exist: one for Annual Subscriptions and one for Monthly Subscriptions. Overage charges apply only when you exceed your contracted amount, so staying within the pool avoids extra charges.
Can I split my Resource Units across bulk/batch, streaming, and unstructured data at the same time?
Yes. The 4,800 Resource Units form one shared pool. You can allocate them across bulk/batch pipelines, real-time streaming, observed assets, or unstructured data pages. The stated figures are single-style maximums, so mixing styles divides the pool proportionally among them.
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Vendor refund policy
All orders are non-cancellable and all fees and other amounts that you pay are non-refundable. If you have purchased a multi-year subscription, you agree to pay the annual fees due for each year of the multi-year subscription term.
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IBM watsonx.data intelligence as a Service is a fully managed SaaS solution that empowers organizations to manage, govern, and share trusted data by unifying data governance, quality, lineage, and data sharing, providing consumers with reliable data products.
IBM watsonx.data is an open, hybrid data lakehouse with built-in data fabric and multi-engine optimization to prepare structured and unstructured data for AI.
IBM watsonx.data integration is self-managed data integration software on AWS that delivers AI-ready data at scale. It provides a unified control plane for batch, streaming, replication, and unstructured data integration pipelines using no-code, low-code, and pro-code experiences. Built-in observability and optimized execution reduce complexity and accelerate analytics and AI workloads.
IBM watsonx.data intelligence is a self-managed software solution that empowers organizations to manage, govern, and share trusted data by unifying data governance, quality, lineage, and data sharing, providing consumers with reliable data products.