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Brief
Bigeye

Bigeye

Data Infrastructurebigeye.com

Bigeye provides automated data quality monitoring and anomaly detection to help data teams proactively identify and resolve data issues before they impact business decisions, ensuring data reliability and trust across the organization.

Last updated Jun 23, 2026

Founded
2018
HQ
San Francisco, California, United States
Connections
6

At a glance

Employees
51-200
Funding
$65M
5integrations

About

Emerging player in the data observability market focused on automated data quality monitoring

Bigeye is a data observability platform founded to help data teams monitor and maintain the quality of their data pipelines. The company provides automated data quality monitoring, anomaly detection, and root cause analysis capabilities to ensure data reliability across modern data stacks. While Bigeye operates in the broader data infrastructure space rather than traditional advertising technology (AdTech), it serves companies across various industries including those in digital advertising and marketing technology who rely on accurate data for campaign optimization, audience targeting, and performance measurement. Bigeye's platform addresses the critical challenge of data quality and trust in organizations that have adopted cloud data warehouses and modern data architectures.

Business model

SaaS

Target market

Mid-Market to Enterprise

What they offer

  • Autometrics

    Automated metric generation and monitoring that learns data patterns without manual configuration

  • Anomaly Detection

    Machine learning-based detection of data quality issues and anomalies in data pipelines

  • Root Cause Analysis

    Tools to quickly identify the source and impact of data quality issues

  • Data Lineage

    Visualization of data dependencies and impact analysis across the data stack

Key features

Automated data quality monitoringML-based anomaly detectionRoot cause analysisData lineage trackingCustom metrics and rulesSlack and email alertingSQL-based monitoringDashboard and visualization tools

Use cases

Data pipeline monitoringData warehouse quality assuranceAnalytics reliabilityML model data validationBusiness intelligence data qualityRegulatory compliance data monitoring

Customer segments

Data teamsAnalytics teamsData engineersData scientistsBusiness intelligence teams

Tech & specs

Technology stack

Cloud data warehousesSQLMachine learningPython

Security & compliance

SOC 2 Type IIGDPRCCPA

Deployment

Cloud

API

Yes

Corporate history
  1. 2018 · Founded
Connection details
See integrations with Bigeye (5)

Explore further

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