Datorios provides a specialized observability solution for Apache Flink, enabling real-time monitoring of data quality, operational continuity, and issue resolution across data, code, and infrastructure. This platform helps organizations mitigate risks associated with operational disruptions and poor data quality, ultimately protecting revenue and maintaining customer trust.
Funding
$22M raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
Founders
Product
Problem
Organizations running Apache Flink face challenges in maintaining operational quality, including ensuring continuous operation, delivering high-quality data, and responding quickly to issues. Without adequate observability, they risk revenue loss, damaged reputation, regulatory compliance failures, and increased troubleshooting costs.
Solution
Datorios provides a comprehensive observability solution specifically designed for Apache Flink, enabling organizations to maintain operational quality in complex real-time data environments. The platform facilitates the detection, isolation, and resolution of issues across data, code, and infrastructure before they impact the business. Datorios unifies relevant metrics, logs, and data traces on a single platform, correlating data from various domains to provide a holistic view of Flink operations. Its lineage capabilities help understand the upstream data sources, Flink jobs, and developers contributing to an issue.
Target Audience
Datorios targets organizations that rely on Apache Flink for real-time data processing and need to ensure operational continuity, data quality, and rapid issue resolution.
Features
- Unified platform for metrics, logs, and data traces related to Apache Flink operations
- Correlation of data across data, code, and infrastructure for faster issue resolution
- Data lineage tracking to understand the origin and transformations of data
- Automated insights and alerts for potential data quality issues
- Investigation tools to understand the root cause of incidents
- Lineage Analyzer to visualize data flow through operators and identify bottlenecks
- Ability to replay Flink program executions for troubleshooting without accessing live data