Data teams often struggle with monitoring the complex web of tasks within their data pipelines, leading to delayed issue detection and increased troubleshooting time. Identifying the root cause of failures or performance bottlenecks requires manually piecing together information from disparate systems, hindering efficiency and potentially impacting data quality.

Seismiq offers a real-time monitoring and anomaly detection platform for data pipelines, providing end-to-end visibility and intelligent alerting. By leveraging OpenTelemetry, the platform captures comprehensive context across all data processes, enabling users to quickly drill down into task-level details within a unified UI. Seismiq automatically notifies users of failed tasks, missing runs, and performance anomalies, helping data teams proactively address issues and maintain data pipeline reliability. The platform integrates with existing data stacks through a single line of code, webhook, or plugin, and requires no system privileges or data access, ensuring zero-trust security and compliance.

Real-time monitoring of scripts, notebooks, and no-code platforms

End-to-end visibility across all data processes in a unified view

Automatic notifications for failed tasks, missing runs, and performance anomalies

Seamless integration with existing data pipelines via a single line of code, webhook, or plugin

Zero-trust security model that requires no system privileges or data access

Compatibility with custom Python tasks, Databricks and Hex notebooks, dbt, Airbyte, Fivetran, and Airflow

Support for multi-cloud and multi-service pipelines

Metadata collection without accessing sensitive data or code

Seismiq is designed for analytics and data platform engineering teams seeking to improve the reliability and observability of their data pipelines.