Atlan
Atlan is a collaborative data governance and metadata management platform that helps your team discover, manage, and trust data through an automated, user-friendly interface for modern data stacks.
Bigeye
Bigeye is an enterprise data observability platform that helps data engineering teams monitor data quality, detect anomalies automatically, and maintain reliable data pipelines through automated metadata analysis and alerting.
Quick Comparison
| Feature | Atlan | Bigeye |
|---|---|---|
| Website | atlan.com | bigeye.com |
| Pricing Model | Custom | Custom |
| Starting Price | Custom Pricing | Custom Pricing |
| FREE Trial | ✘ No free trial | ✘ No free trial |
| Free Plan | ✘ No free plan | ✘ No free plan |
| Product Demo | ✓ Request demo here | ✓ Request demo here |
| Deployment | ||
| Integrations | ||
| Target Users | ||
| Target Industries | ||
| Customer Count | 0 | 0 |
| Founded Year | 2018 | 2019 |
| Headquarters | Singapore, Singapore | San Francisco, USA |
Overview
Atlan
Atlan acts as a collaborative home for your data team, bringing together data discovery, cataloging, and governance into one workspace. You can automatically crawl your entire data stack—from Snowflake and Databricks to Tableau and Power BI—to create a unified view of your data assets. It eliminates the manual work of documenting data by using AI to suggest descriptions and identify sensitive information across your ecosystem.
You can track data lineage visually to see exactly how data flows from source to dashboard, helping you troubleshoot broken reports in minutes. The platform is built for collaboration, allowing you to discuss data assets, assign owners, and manage access requests directly within the tools you already use like Slack. It helps data engineers, analysts, and business users stay aligned on data definitions and quality without constant back-and-forth meetings.
Bigeye
Bigeye helps you ensure your data stays reliable and trustworthy across your entire stack. Instead of manually writing thousands of tests, you can use automated monitoring to detect issues like missing values, schema changes, or distribution shifts before they impact your business dashboards. You can connect it to your existing data warehouse and start seeing health metrics immediately without moving your data.
The platform is designed for data engineers and analysts at mid-to-large organizations who manage complex data pipelines. You can track data lineage to see exactly how a broken table affects downstream reports and use the automated root cause analysis to fix problems faster. It integrates directly into your existing workflows with alerts for Slack, PagerDuty, and ServiceNow.
Overview
Atlan Features
- Automated Data Catalog Discover your data instantly with an automated crawler that indexes metadata from your entire modern data stack.
- End-to-End Lineage Map your data's journey from source to BI tool to understand dependencies and perform impact analysis visually.
- Active Governance Apply security tags and access policies automatically across your ecosystem to ensure compliance without slowing down your team.
- AI-Powered Documentation Generate READMEs and column descriptions automatically using built-in AI to keep your data documentation up to date.
- Collaboration Center Share data assets and discuss definitions with your team using integrated social features and Slack notifications.
- Data Quality Monitoring View trust signals and quality scores directly on your data assets so you know which tables are reliable.
Bigeye Features
- Automated Monitoring. Deploy thousands of data quality metrics automatically without writing manual SQL tests or complex configuration scripts.
- Anomaly Detection. Identify outliers and unexpected changes in your data using machine learning models that adapt to your specific patterns.
- End-to-End Lineage. Map your data journey from source to dashboard so you can see exactly which reports are affected by issues.
- Root Cause Analysis. Pinpoint the exact source of data failures quickly with detailed metadata insights and historical comparison tools.
- SLA Tracking. Define and monitor data reliability targets to ensure your team meets internal performance and availability standards.
- Smart Alerting. Receive critical notifications in Slack or PagerDuty only when significant issues occur to avoid alert fatigue.
Pricing Comparison
Atlan Pricing
Bigeye Pricing
Pros & Cons
Atlan
Pros
- Intuitive interface feels like modern consumer software
- Excellent automated lineage tracking across complex stacks
- Strong integration with popular tools like Slack
- Fast setup compared to legacy governance platforms
Cons
- Pricing is high for smaller organizations
- Initial metadata crawling can be resource intensive
- Advanced customization requires a learning curve
Bigeye
Pros
- Fast setup with immediate visibility into data health
- Automated metric suggestions save significant engineering time
- Excellent technical support and proactive customer success
- Intuitive interface makes complex lineage easy to navigate
Cons
- Custom pricing requires sales contact for quotes
- Initial configuration of complex alerts takes time
- Focuses primarily on enterprise-scale data environments