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Enterprise Layer Intelligence
Categories/Data Platform & Integration/Bigeye
Bigeye

Bigeye

Founded by Kyle Kirwan & Egor Gryaznov in 2019

Monitor data quality, trace lineage, and identify sensitive information across your enterprise data pipelines

Pricing model

Demo, Paid

Rating

★ People love it

Time to value

Quick Setup (< 1 hour)

You can use Bigeye to monitor data quality and track lineage across all enterprise data systems. The system runs anomaly detection to catch data outages, broken pipelines, and format changes before they affect business decisions. You can map dependencies across modern and legacy data warehouses to quickly pinpoint where errors originated. Bigeye also scans both structured and unstructured storage to discover sensitive records like personal identity numbers, credit card data, and medical details, while enforcing data access policies for internal artificial intelligence models.

What Bigeye does

Monitor data pipelines for anomaliesTrace end-to-end data lineageScan tables for sensitive PII and PHIEnforce runtime data access policiesCatalog metadata and assign domain ownershipTrack data quality metric trends over timeLineage-enabled anomaly detection across data pipelinesEnd-to-end data lineage mapping across modern and legacy data stacksAutomated scanning and classification for sensitive data like PII and PHIRuntime enforcement of data access rules for AI applicationsAutomated metric learning and alert tuning to reduce false alertsMetadata cataloging with domain ownership and tag trackingInteractive self-guided product tours for evaluation

Pricing breakdown

Pricing model: Book a demo

Frequently asked

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Bigeye, data observability, data lineage, data quality monitoring, anomaly detection, metadata management, sensitive data scanning, data governance, runtime policy enforcement, AI governance, pipeline monitoring, PII detection, data reliability, enterprise data