Atlan
Atlan is a cutting-edge data collaboration platform designed to streamline the complexities of data management and governance. Its core purpose is to enhance the discoverability, usability, and governance of data across organizations. With features like active metadata management, data discovery, and automated governance, Atlan positions itself as a pivotal tool for data teams aiming to foster a culture of data collaboration and accessibility.
Make a decision about Atlan
- Already use it? Add Atlan to Stack Autopsy — check cost, overlap and safe cancellations.
- Thinking about buying it? Ask AI Advisor — compare fit, alternatives and trade-offs.
- Want to leave it? Find a replacement — see feature losses and migration risks.
Pricing
- Free Trial: Get to know Atlan with a comprehensive free trial period.
- Standard Plan: Starts at $500 per month, offering full catalog features and basic governance.
- Enterprise Plan: Custom pricing, includes advanced governance tools and dedicated support.
Features
- Data Discovery and Catalog: Provides a centralized repository for all data assets, making it easier to find and understand data.
- Active Data Governance: Simplifies compliance and governance through automated policies and controls.
- Column-Level Lineage: Offers visual mapping of data flow from source to consumption, enhancing transparency and trust.
- Personalization & Curation: Delivers a tailored data experience, much like Netflix for data, ensuring relevant data is easily accessible to users.
- Open APIs: Facilitates integration with existing systems, allowing for extended functionality and connectivity.
Use cases
- Large Enterprises: Managing vast amounts of data across various departments.
- Data Scientists and Analysts: Engaging with complex datasets to derive insights.
- Compliance Officers: Ensuring data meets regulatory standards.
- IT and Data Governance Teams: Overseeing data security and accessibility.
- Uncommon Use Cases: Non-profits using data to drive fundraising strategies; educational institutions using it for research data management.