Data observability for reliable pipelines

Detect and fix data issues before they impact downstream processes

A screenshot of a computer screen displaying a dashboard with various metrics and alerts.

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

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Deliver trusted and timely data

IBM watsonx.data integration features advanced data observability capabilities that are designed to proactively monitor data pipelines, detect anomalies, alert on data incidents and remediate issues. It provides continuous data observability to ensure optimum health and performance of data pipelines. By investing in data observability, organizations can mitigate data risks, improve productivity and maximize the returns on their data and AI investments.

Complex pipelines, proactively managed

Detect data incidents in real-time 

Embrace a proactive posture to data incident identification, rather than a reactive approach. 

Resolve errors faster

Facilitate faster resolution of pipeline issues with tailored notifications and root cause analysis, immediately alerting pertinent stakeholders.

Enhance data reliability

Detect data anomalies from metadata in near real time to build analysts' trust in their findings, leading to better-informed decisions and improved outcomes.

Guarantee data SLAs 

Implementing data freshness rules ensures the ability to promptly identify a dataset that hasn't been updated within a service level agreement (SLA) time frame.

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Highlighted features

Screenshot of Alert configuration

Customize alert configurations using predefined thresholds for process and pipeline run durations, data quality deviations, input and output counts. Gain a consolidated view of all alerts, complete with details around severity.

Data observability UI screenshot of triggered alerts

When a data incident occurs, route alerts to the right data stakeholders in real-time using tools you already work with, like Slack, PagerDuty, email and more.

Data observability UI screenshot of triggered alerts

Track and analyze the complete failure histories and pipeline dependencies to provide a comprehensive context to achieve consistent pipeline operations.

Screenshot of Alert configuration

Customize alert configurations using predefined thresholds for process and pipeline run durations, data quality deviations, input and output counts. Gain a consolidated view of all alerts, complete with details around severity.

Data observability UI screenshot of triggered alerts

When a data incident occurs, route alerts to the right data stakeholders in real-time using tools you already work with, like Slack, PagerDuty, email and more.

Data observability UI screenshot of triggered alerts

Track and analyze the complete failure histories and pipeline dependencies to provide a comprehensive context to achieve consistent pipeline operations.

Resources

Introducing watsonx.data integration - the way forward for data engineering.
Explore an interactive demo of watsonx.data integration.
Discover the full spectrum of capabilities within watsonx.data integration.
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