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.
Soda
Soda is a data quality platform that provides automated monitoring, testing, and observability to help you detect, resolve, and prevent data issues across your entire data stack.
Quick Comparison
| Feature | Bigeye | Soda |
|---|---|---|
| Website | bigeye.com | soda.io |
| Pricing Model | Custom | Freemium |
| Starting Price | Custom Pricing | Free |
| FREE Trial | ✘ No free trial | ✓ 45 days free trial |
| Free Plan | ✘ No free plan | ✓ Has free plan |
| Product Demo | ✓ Request demo here | ✓ Request demo here |
| Deployment | ||
| Integrations | ||
| Target Users | ||
| Target Industries | ||
| Customer Count | 0 | 0 |
| Founded Year | 2019 | 2018 |
| Headquarters | San Francisco, USA | Brussels, Belgium |
Overview
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.
Soda
Soda helps you maintain high-quality data by providing a unified platform for automated monitoring and observability. You can catch data issues before they impact your business by setting up automated checks that scan your datasets for anomalies, schema changes, and missing values. It acts as a collaborative space where data engineers and analysts can define what 'good' data looks like using a simple, human-readable language called SodaCL.
The platform integrates directly into your existing data pipelines, allowing you to stop bad data from moving downstream. You can visualize data health through centralized dashboards and receive instant alerts when quality thresholds are breached. Whether you are managing a small data warehouse or a complex enterprise data lake, Soda provides the visibility you need to build and maintain trust in your data products.
Overview
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.
Soda Features
- SodaCL Language. Write data quality checks in a simple, human-readable language that both technical and business users can easily understand.
- Automated Monitoring. Detect anomalies and schema changes automatically so you can identify silent data failures before your users do.
- Data Quality Dashboards. Track the health of your datasets over time with visual reports that show trends and highlight recurring issues.
- Incident Management. Assign owners to data issues and track the resolution process from start to finish within a centralized interface.
- Pipeline Integration. Insert quality checks directly into your Airflow or dbt workflows to prevent bad data from entering production.
- Self-Service Testing. Empower your data consumers to create their own quality agreements and verify the data they use for reporting.
Pricing Comparison
Bigeye Pricing
Soda Pricing
- CLI-based data testing
- SodaCL check execution
- Support for 20+ data sources
- Programmatic API access
- Community-led support
- Everything in Core, plus:
- Centralized web interface
- Automated anomaly detection
- Historical health reporting
- Slack and MS Teams alerts
- User roles and permissions
Pros & Cons
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
Soda
Pros
- Human-readable syntax makes writing checks fast
- Excellent integration with modern data stack tools
- Strong open-source core for developer flexibility
- Unified view of quality across different sources
Cons
- Initial setup of SodaCL requires learning time
- Cloud pricing requires contacting sales for quotes
- Advanced reporting features locked behind higher tiers