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 integration is self-managed data integration software that helps organizations deliver AI-ready data by unifying how data is ingested, transformed, synchronized, and observed across structured and unstructured sources. It provides a unified control plane to design, run, and optimize batch, real-time streaming, replication, and unstructured data integration pipelines using no-code, low-code, and pro-code experiences, enabling faster collaboration across data teams.
The platform is built to support both scale and reliability. Enterprise-grade batch processing enables efficient handling of large data volumes, while real-time streaming pipelines support low-latency analytics and event-driven use cases. Continuous data replication keeps systems synchronized, and integrated data observability delivers end-to-end visibility into pipeline health, performance, and data movement, helping teams detect issues early and operate with confidence.
watsonx.data integration is designed to adapt as data needs evolve. Its flexible architecture supports changing data types, formats, and workloads, including advanced unstructured data processing for documents, logs, and text used in analytics and AI workloads. Optimized execution and centralized management reduce operational complexity, allowing organizations to deliver trusted data faster and accelerate analytics, AI, and generative AI initiatives.
Key features
-- Unified integration control plane : Design, run, and manage batch, streaming, replication, and unstructured data pipelines from a single interface.
-- Batch data processing : Ingest, transform, and move high-volume data efficiently for analytics, warehousing, and reporting use cases.
-- Real-time data streaming : Build low-latency streaming pipelines to support real-time insights and event-driven applications.
-- Data replication : Maintain data consistency across systems with continuous, low-latency replication.
-- Unstructured data integration : Process and integrate documents, text, logs, and other unstructured data alongside structured data for AI-ready workloads.
-- Built-in data observability : Monitor pipeline health, performance, and data flows with centralized visibility and diagnostics.
-- Flexible authoring experiences : Support diverse user skill sets with no-code, low-code, and pro-code development options.
For trials and customized IBM watsonx.data integration pricing contact your IBM Sales Representative or email us at wxdintegration@ibm.com.
Highlights
Unified integration control plane : Design, run, and manage batch, streaming, replication, and unstructured data pipelines from a single interface.
Flexible authoring experiences : Support diverse user skill sets with no-code, low-code, and pro-code development options.
Optimized pipeline execution: Improve performance and efficiency through execution optimization and runtime monitoring.
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. This entitles you to a specified quantity of use for the contract duration. If you choose not to renew or replace your contract before it ends, access to these entitlements will expire.
Additional AWS infrastructure costs may apply. Use the AWS Pricing Calculator to estimate your infrastructure costs.
This listing uses a single contract dimension: the Starting Configuration, billed by Units. You buy a base configuration measured in units rather than choosing among separate tiers or instance sizes. Pricing scales with the number of units you commit to under your contract term. The unit-based model lets you size your purchase to your data integration workload. Since only one dimension applies, there are no add-ons or upgrade paths within this listing to compare. You commit to the Starting Configuration and adjust the quantity of units to match your needs.
Top-of-mind questions for buyers
What does the Starting Configuration include for building and running data pipelines?
The Starting Configuration supports building data pipelines that prepare structured and unstructured data. You can author pipelines with code or describe intent in natural language. It includes pipeline monitoring, data observability, and the ability to switch between ETL and ELT processing without recoding.
Can I run pipelines across different environments under this configuration?
Yes. The Starting Configuration lets you run pipelines where your data resides, whether on premises, in the cloud, or at the edge. It supports hybrid data integration across these environments. You buy one base configuration measured in units and scale the unit quantity to match your deployment needs.
How does my cost change if my data integration workload grows?
Cost scales with the number of units you commit to under your contract. To handle a larger workload, you increase the unit quantity of the Starting Configuration. There are no separate tiers or add-ons within this listing; you adjust units within the single dimension.
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