FLUENT is a data observability platform that provides real-time monitoring and automated anomaly detection for organizational data systems. The platform helps prevent downtime by offering SLA tracking and alerting for unexpected events, ensuring data reliability.
Funding
Funding not disclosed
Founders
Product
Problem
Organizations struggle to maintain data accuracy and reliability across increasingly complex data stacks, leading to wasted time, flawed decision-making, and potential compliance issues. Data teams spend significant time fixing data errors, and the cost of remediation increases as bad data moves further down the pipeline.
Solution
FLUENT is a data observability platform that empowers organizations to monitor, track, and triage data incidents in real-time, preventing downtime and ensuring data health. The platform provides a dashboard offering an operational view of all data pipelines, along with alerting for unexpected events and anomalies identified by data profilers. By tracking specific events along the chain of pipelines and services, FLUENT enables in-depth analysis and faster issue resolution through standardized logging. The platform also facilitates SLA tracking, measuring data quality and pipeline metadata against predefined standards.
Target Audience
FLUENT is designed for data-driven organizations, including data engineers, data scientists, and business analysts, who need to ensure the accuracy, reliability, and consistency of their data for informed decision-making and operational efficiency.
Features
- Real-time monitoring of data pipelines and datasets
- Automated anomaly detection using machine learning
- Customizable alerts based on business rules and data profilers
- End-to-end tracking of data events across pipelines and services
- Standardized logging for faster incident resolution
- SLA tracking to measure data quality against predefined standards
- Data profiling to identify potential data issues (range, unicity)
- Interactive visualizations for quick and informed decision-making