Data Observability

Get actionable visibility into your pipeline health and data quality

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Native AI-powered Observability + Quality

Understand the operations of your data, along with multiple quality dimensions, without extra point tool costs

Streamline your data operations

Centralize alerts, incident management, and collaboration workflows into a single workspace

Prevent issues from impacting the business

Proactively catch quality issues, reduce MTTD and MTTR for pipelines, and accelerate troubleshooting

Understand all your data and pipelines from a single source of truth

Get visibility on Day 1 through AI and Automation

Automatic Data Profiling

Understand the shape of your data, including NULLs, distributions, and custom metrics

AI-driven Data Quality Tests

Native no-code and SQL tests for accuracy, freshness, and more, generated on Day 1

Real-time data pipeline monitoring

Monitor ETL jobs for errors, quality issues, and failures both upstream & downstream

Health dashboards & reports

Track data quality health trends and analyze incident response performance

Organize the way you assign, track, and fix data issues

Incident management spanning your data teams

Native Incident Manager

Coordinate, assign, and resolve data issues in context and preserve institutional knowledge

Change management alerting

Notify users of schema modifications, ownership shifts, and tagging updates

Customizable notification system

Setup, filter, and triggers alerts to route different owner and team destinations

Collaboration and integrations

Native workflows and discussion threads, integrated with email, Slack, MS Teams, and webhooks

Troubleshoot and fix data operation problems faster

Root cause analysis for pipelines

Anomaly Detection AI

Customizable sensitivity to proactively catch unexpected spikes or drops in unfamiliar data

Actionable lineage and asset views

See pipeline health and quality test results in lineage to troubleshoot upstream and downstream

Impact radius visibility

Understand how ETL failures & quality issues impact downstream tables, dashboards, and ML

APIs and automations

Customize your troubleshooting workflows to adapt the platform to your existing systems

Built for modern data & AI practices

Designed for changing needs of data & AI teams

AI-Driven Automation

Improve productivity, enforce governance and reduce costs with AI driven automation

Unified Platform

One platform for all your teams for data discovery, observability and governance

Collaborate Around Data

Accelerate development of data assets with social workspaces and knowledge centers

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Managed Service for Production Data Teams

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