Atlan Reviews & Pricing

Key Features

• Data Discovery: Enables users to search and locate data assets quickly using a Google-like search experience.
• Data Cataloging: Automatically catalogs data assets across the enterprise, classifying and organizing them for easy access.
• Data Lineage: Provides visualization of data from origin to destination, offering insights into the data’s lifecycle and transformations.
• Collaborative Workspaces: Users can share queries, scripts, and visualizations, creating a hub for teamwork and idea exchange.
• Tagging and Annotation: Allows users to tag and annotate datasets, contributing to a shared understanding and context.
• Data Profiling: Generates data profiles with statistics and patterns, helping users assess data quality and structure.
• Access Control and Permissions: Controls who can see and edit data assets, ensuring data is secure and compliant with regulations.
• Query and Computation Management: Users can write, run, and manage queries in a web-based SQL editor, streamlining analytics workflow.
• Custom Visualizations: Integration with BI tools supports the creation of data visualizations and dashboards directly within the platform.
• Data Governance Framework: Sets up governance frameworks to standardize the treatment of data across the organization.
• Third-party Integration: Integrates with numerous data sources and tools, including ETL, BI, and AI/ML tools, centralizing data workstreams.
• Metadata Management: Manages metadata effectively, providing users with detailed information about data origin, usage, and relevance.
• Self-service Data Preparation: Allows users to prepare data for analysis without extensive technical expertise, facilitating a self-service model.
• API Access: Offers APIs for advanced users to programmatically interact with data and platform features.

Approach to Common Challenges

• Data Quality: Ensuring data accuracy, completeness, and consistency across the organization.
  • Atlan provides data validation rules and data quality dashboards to identify and flag poor data quality.
  • Data profiling and data cleansing capabilities help improve data quality over time.
• Data Security: Protecting sensitive data from unauthorized access, corruption, or loss.
  • Atlan provides fine-grained access control, encryption, and masking to secure data.
  • Audit logs and data lineage track data access and changes for compliance and security purposes.
• Data Governance: Establishing policies, procedures, and standards for data management and use.
  • Atlan provides a centralized repository for data policies, standards, and procedures.
  • Workflows and approval processes ensure compliance with data governance policies.
• Data Discovery: Finding and understanding relevant data across disparate systems and formats.
  • Atlan provides a searchable inventory of data assets, including metadata and lineage information.
  • Data catalogs and glossaries facilitate data discovery and understanding.
• Data Integration: Combining data from multiple sources into a unified view.
  • Atlan provides data integration tools to combine data from various sources.
  • Data transformation and mapping capabilities ensure data consistency across systems.
• Data Management: Managing data across its lifecycle, from creation to deletion.
  • Atlan provides data management tools to create, update, and delete data.
  • Data retention and deletion policies ensure compliance with regulatory requirements.

Cost Of Ownership

• Q: What is the pricing model for Atlan?
  A: Atlan offers a variety of pricing models, including per-user licenses, tiered pricing based on data volume, and custom enterprise pricing. This allows organizations to choose the pricing model that best suits their needs and budget.
• Q: What are the typical costs associated with implementing and using Atlan?
  A: The total cost of ownership (TCO) for Atlan will vary depending on the size and complexity of the organization, as well as the specific features and functionality required. However, Gartner estimates that the TCO for Atlan is typically between 15% and 25% of the initial license cost. This includes the cost of software, hardware, maintenance, and training.
• Q: What are some of the hidden costs of Atlan?
  A: Some of the hidden costs of Atlan include the cost of data migration, data cleansing, and change management. Data migration can be a complex and time-consuming process, and it is important to factor in the cost of this upfront. Data cleansing is also important, as it can help to improve the quality of data in the Atlan system. Change management is also important, as it can help to ensure that users are properly trained on the new system and that changes are implemented smoothly.

Limitations

• Limited native integrations: Atlan does not have native integrations with many popular enterprise applications, which can require additional effort to connect and manage data.
• Scalability considerations: While Atlan can handle large data volumes, its scalability may require careful planning and infrastructure provisioning for extensive data growth.
• Maturity and adoption: As a relatively new entrant in the data governance landscape, Atlan's long-term viability and widespread adoption may not yet be fully established.

Demo Resources

• Atlan Documentation: Detailed documentation providing an overview of the platform, its features, and how to use it.
• Atlan Tutorials: Step-by-step tutorials that cover various aspects of the platform, such as data integration, data quality, and data security.
• Atlan Use Cases: Real-world use cases that demonstrate how Atlan can be used to solve specific data management challenges.
• Atlan Customer Stories: Case studies and success stories from customers who have implemented Atlan in their organizations.
• Atlan Blog: A blog that provides updates, tips, and best practices on data management and Atlan.
• Atlan Community: An online community where users can ask questions, share knowledge, and collaborate with others who are using the platform.
• Atlan Sandbox: A virtual sandbox environment where users can try out Atlan without having to install or configure anything.
• Atlan Support: A comprehensive support portal that provides access to product experts, knowledge base articles, and other resources.

FAQ

• Q: How does Atlan handle data security?
  A: Atlan provides robust security features, including role-based access control to ensure that sensitive data is protected and only accessible by authorized personnel.
• Q: Can Atlan integrate with other data tools and platforms?
  A: Yes, Atlan offers extensive integration capabilities, allowing users to connect and work with a variety of data sources and analytical tools seamlessly within the platform.
• Q: How does Atlan support data governance?
  A: Atlan includes built-in data governance tools that allow organizations to set comprehensive governance frameworks, helping to enforce standardization and compliance throughout the data lifecycle.
• Q: Is Atlan suitable for teams with limited technical expertise?
  A: Atlan is designed with a user-friendly interface and self-service capabilities which are accessible for users with various levels of technical proficiency.
• Q: How does Atlan streamline collaboration among data teams?
  A: The platform promotes collaboration through shared workspaces, annotation features, and the ability to share queries and insights directly within the platform, making it easy for teams to work together.
• Q: Does Atlan aid in data compliance and audit requirements?
  A: Absolutely, Atlan's data lineage and auditing capabilities help satisfy compliance and regulatory audit requirements by providing clear visibility into data origins and changes.
• Q: How is metadata managed within Atlan?
  A: Metadata management in Atlan is central to its operation, enabling users to access detailed information about data sources, which is critical for understanding and trust in data.
• Q: Can Atlan accommodate complex data environments?
  A: Yes, Atlan is built to handle complex data environments, allowing organizations to manage and glean insights from vast and varied data sources.