Atlan logo

Atlan

by Atlan · Since 2019
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ActiveAvailable globallyCloud
Quick facts
VendorAtlan
Year launched2019
StatusActive
LocationIndia
Countries servedGlobal
Languages10
Integrations7+
Free tier
Free trial
Contact salesYES

About Atlan

Atlan is a collaborative data workspace platform from Atlan that supports data teams in their workflow. It combines project management, data governance, and documentation features so teams can work together effectively on data projects. Atlan provides a centralized hub for data-related tasks, allowing users to organize their work, maintain data integrity, and document processes clearly. Key capabilities: project tracking data cataloging version control integrations with various data tools collaborative documentation Best for: data teams and analysts that need a unified platform to manage data tasks and coordinate efforts.

Atlan is a comprehensive data management platform that offers a range of features for Data Management, Metadata Management, and PIM. This software is designed to help organizations effectively manage and analyze large volumes of data, ensure data quality and governance, and enable collaboration among data teams. The user interface of Atlan is intuitive and user-friendly, making it easy for users to navigate and access the various functionalities of the software. The design elements are clean and modern, enhancing the overall user experience and making it a pleasure to work with the platform. The dashboard provides a clear overview of key metrics and data insights, allowing users to quickly access the information they need. One of the standout features of Atlan is its ability to automate data collection and processing tasks, saving users time and effort. The platform also offers robust data governance capabilities, allowing organizations to establish rules and policies for data management and ensure compliance with regulations. Additionally, Atlan facilitates collaboration among data teams, enabling them to easily share and work on data projects together.

Pros & Cons

What users like
  • +1. Centralized Data Management: Keeps everything in one place, making it easier to manage data across teams.
  • +2. Collaborative Features: Promotes effective collaboration among data teams, ensuring efficient communication and decision-making.
  • +3. Wide Integrations: Integrates well with popular data tools and cloud platforms.
  • +4. Real-Time Data Sharing: Enables teams to access and collaborate on data in real time.
  • +5. Automation: Reduces manual work with automation features for data pipelines and workflows.
What users flag
  • 1. Learning Curve: Some users may find the platform difficult to navigate initially.
  • 2. Feature Overload: Might be overwhelming for smaller teams who need only basic data management features.
  • 3. Requires Technical Expertise: While designed for collaboration, users may still need a basic understanding of data operations.
  • 4. Complex Setup for Large Organizations: Large teams may require significant configuration to align with specific workflows.

Features

Key features

1. Centralized Data Workspace
A single platform where data professionals can manage datasets, projects, and workflows in real time.
2. Collaboration Tools
Tools to allow data teams to communicate, share insights, and collaborate on projects seamlessly.
3. Data Cataloging
Organizes and tags data sources, making it easier to search and manage.
4. Version Control
Tracks and manages changes to data and workflows, ensuring that teams are always on the same page.
5. Integration with Popular Tools
Seamlessly integrates with various data management, BI tools, and cloud platforms.

Additional features

1. Advanced Search and Metadata Management
Helps teams quickly locate and understand data sources.
2. Custom Workflows
Facilitates custom pipelines and workflows that meet specific data project needs.
3. Real-Time Collaboration
Enables seamless collaboration on data analysis, reporting, and decision-making.
4. Data Quality Monitoring
Tracks the quality of data inputs and outputs, ensuring that high-quality, reliable data is used.
5. Data Lineage
Provides clear visibility into the journey of data from source to destination.
6. Automation
Automates repetitive tasks and data processing workflows to reduce manual effort.
7. Security and Permissions
Offers granular control over who has access to specific datasets and workflows.

Pricing

Free trial
Free version
Request a quote
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Countries & Languages

Global
Countries served
10
Interface languages
9
Billing currencies

Interface languages

EnglishSpanishFrenchGermanItalianJapaneseDutchPortugueseRussianChinese

Billing currencies

🇺🇸USD🇪🇺EUR🇬🇧GBP🇯🇵JPY🇦🇺AUD🇨🇦CAD🇨🇭CHF🇨🇳CNY🇮🇳INR

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