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.
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 | Atlan | Soda |
|---|---|---|
| Website | atlan.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 | 2018 | 2018 |
| Headquarters | Singapore, Singapore | Brussels, Belgium |
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.
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
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.
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
Atlan 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
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
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