---
title: Atlan Reviews
meta_title: 'Atlan Reviews 2026: Details, Pricing, & Features | G2'
meta_description: Filter 134 reviews by the users' company size, role or industry
  to find out how Atlan works for a business like yours.
aggregate_rating:
  rating_value: 4.5
  review_count: 134
  scale: '5'
date_modified: '2026-08-09'
parent_category:
  name: IT Infrastructure
  url: https://www.g2.com/categories/it-infrastructure
---


# Atlan Reviews
**Vendor:** Atlan  
**Category:** [Machine Learning Data Catalog Software](https://www.g2.com/categories/machine-learning-data-catalog)  
**Average Rating:** 4.5/5.0  
**Total Reviews:** 134
## About Atlan
Atlan is the context layer for enterprise AI. It continuously reads your warehouses, databases, pipelines, BI tools, and business systems to reverse construct an enterprise data graph that captures assets, lineage, entities, metrics, policies, and relationships. On top of that graph, it enriches and curates machine-readable semantics — descriptions, popular joins, KPI and metric definitions, ontologies, and business rules — and organizes them into governed, versioned context repos: bounded bundles of context that reflect how your company defines key concepts and makes decisions. These context repos are then exposed through open interfaces (SQL, APIs, SDKs, OSI/MCP-style protocols) so that agents, copilots, and AI applications can call the same trusted context in real time, rather than each team hard-coding its own logic. Human-on-the-loop governance workflows for conflict resolution, deprecation, feedback, and certification keep that context trustworthy as the business, data, and models evolve.



## Atlan Pros & Cons
**What users like:**

- Users commend Atlan for its **ease of use** , enabling smooth data collaboration and making data management accessible to everyone. (7 reviews)
- Users value Atlan's **powerful data discovery and collaboration features** , enhancing data quality, governance, and accessibility. (6 reviews)
- Users value the **seamless collaboration** with Atlan, enhancing data understanding and team efficiency across organizations. (5 reviews)
- Users appreciate the **superior data cataloging** capabilities of Atlan, enhancing data discovery and collaboration effortlessly. (5 reviews)
- Users appreciate the **easy setup** of Atlan, which enhances collaboration and streamlines workflows effortlessly. (4 reviews)
- Integration Support (4 reviews)
- Metadata Management (4 reviews)
- Customer Experience (3 reviews)
- Users praise the **super quick response/support** from the Atlan team, enhancing their overall experience significantly. (3 reviews)
- Users value the **lineage feature** of Atlan for its ability to seamlessly integrate and reveal data dependencies. (3 reviews)

**What users dislike:**

- Users face **integration issues** with Atlan, particularly with Teams and non-native database setups requiring complex configurations. (4 reviews)
- Users experience significant **dependency issues** in Atlan, hindering functionality and complicating automated updates and integrations. (3 reviews)
- Users note the **limited customization** of Atlan, wishing for more flexibility to suit diverse team workflows. (3 reviews)
- Users experience **slow technical support** and inaccuracies in resolutions, impacting their overall satisfaction with Atlan. (3 reviews)
- Users experience **limited customization and technical complexity** in Atlan's UI, making it challenging for non-technical users. (3 reviews)
- UX Improvement (3 reviews)
- Alert Overload (2 reviews)
- Bug Issues (2 reviews)
- Bugs (2 reviews)
- Users often face **data lineage issues** due to overwhelming search results and lack of filtering options in Atlan. (2 reviews)

## Atlan Reviews
  ### 1. Atlan as a Central Metadata Hub with Powerful Lineage and AI-Assisted Documentation

**Rating:** 4.5/5.0 stars

**Reviewed by:** Keith G. | Senior Data Analyst, Enterprise (> 1000 emp.)

**Reviewed Date:** July 14, 2026

**What do you like best about Atlan?**

Atlan has become much more than a catalog for us. It acts as a central metadata platform that helps connect technical assets, business context, ownership, and lineage in a way that is accessible to both engineers and business users.

The lineage capabilities provide valuable visibility into how data flows across our ecosystem, while the business context and stewardship features help improve trust in enterprise data. We have also seen significant value from Atlan's AI-assisted metadata capabilities, which helped accelerate documentation activities across a large number of assets.

Another differentiator has been the vendor partnership. The Atlan team has been highly engaged, responsive to feedback, and willing to collaborate on emerging use cases involving Snowflake, semantic models, and AI-driven data experiences

**What do you dislike about Atlan?**

The platform is evolving quickly, which is generally positive, but to realize the full value of Atlan, you need well-defined stewardship processes, ownership models, and standards.

Some of the more advanced capabilities require organizational change management and process maturity to be successful. However, we found that these challenges were more related to governance adoption than limitations of the platform itself.

**What problems is Atlan solving and how is that benefiting you?**

Atlan has helped us establish a trusted metadata foundation for our Snowflake environment by improving visibility into data assets, lineage, ownership, and business definitions.

The platform has supported our efforts to enable self-service discovery, improve onboarding, and prepare for AI-powered use cases. The goal is for teams to spend less time searching for information or relying on tribal knowledge and more time focusing on delivering business value.

It has also become an important component of initiatives involving Snowflake Intelligence, semantic modeling, data products, and AI-driven data experiences by ensuring that trusted metadata and context are available wherever users need it.

  ### 2. Visual Design, Collaboration, and Outstanding Customer Support

**Rating:** 4.5/5.0 stars

**Reviewed by:** Verified User in Transportation/Trucking/Railroad | Enterprise (> 1000 emp.)

**Reviewed Date:** July 31, 2026

**What do you like best about Atlan?**

The support and enablement team has been excellent throughout the journey, and the platform is continuously evolving with new capabilities and improvements. It is a highly collaborative, user-friendly tool that makes it easy for both technical and business users to work together effectively.

**What do you dislike about Atlan?**

Some connectors that would be necessary for us are still missing, as well as some workflow and policy capabilities that would help us automate governance processes more effectively. While the platform’s continuous evolution is certainly a positive aspect, it also creates additional effort to assess, test, and adopt new features, which can sometimes make it difficult to stay focused on the original objectives. In addition, the platform is not yet able to automatically detect certain types of information, such as PII and other data classifications, which increases the manual effort required for governance and compliance activities.

**What problems is Atlan solving and how is that benefiting you?**

Atlan solves our lack of visibility into what data exists, where it lives, and whether it's trustworthy, previously that knowledge lived only in a few people's heads. It gives us searchable data discovery, end-to-end lineage, and clear ownership/documentation in one place. This has cut down repetitive "where do I find X" questions, sped up root-cause analysis when reports break, and reduced our dependency on a handful of key people. Overall, it's made data more self-service and trustworthy across both technical and business teams.

  ### 3. Powerful Tool Backed by an Exceptionally Responsive, Collaborative Atlan Team

**Rating:** 5.0/5.0 stars

**Reviewed by:** Verified User in Leisure, Travel & Tourism | Mid-Market (51-1000 emp.)

**Reviewed Date:** August 04, 2026

**What do you like best about Atlan?**

Atlan is not only a powerful tool; the people behind the product truly make the difference. From the POC through implementation, we’ve worked closely with the Atlan team, and they’ve consistently remained responsive, engaged, and easy to collaborate with.

**What do you dislike about Atlan?**

For my company specifically, I think we’ve mainly positioned Atlan for technical teams. I’d like to see how we can better keep business stakeholders and other teams engaged as well.

**What problems is Atlan solving and how is that benefiting you?**

Before Atlan, our teams struggled to understand the downstream impact of data changes across our environments and systems. Atlan’s column-level lineage has been a huge unlock for us, and it has significantly reduced the time it takes to troubleshoot issues.

  ### 4. Outstanding AI Features, Easy UI, and a Truly Responsive Atlan Team

**Rating:** 4.5/5.0 stars

**Reviewed by:** Verified User in Apparel & Fashion | Enterprise (> 1000 emp.)

**Reviewed Date:** April 30, 2026

**What do you like best about Atlan?**

We value the strong partnership with Atlan's Product and Engineering Teams, their innovative roadmap and the ease of the UI. The team is highly responsive, open to feedback, and willing to collaborate with us to deliver new capabilities we want. We have regular and easy communication with Atlan employees. Atlan's new AI features are outstanding, built on their extensible and easy integrations.

**What do you dislike about Atlan?**

Mostly we are very happy but one feedback would be the focus on innovation can often come at the expense of prior features and fundamental needs that make the support and maintenance easier. Atlan does have some features that don't get much attention and would benefit from better defined roadmaps.

**What problems is Atlan solving and how is that benefiting you?**

Data Quality features embedded in the data catalogue. The new Context Agents Studio is amazing and will scale enrichment incredibly fast but with quality. Overall they allow us to maintain a very small data Governance team.

  ### 5. Transforms Data Collaboration with Ease and Efficiency

**Rating:** 4.5/5.0 stars

**Reviewed by:** Verified User in Information Services | Enterprise (> 1000 emp.)

**Reviewed Date:** November 09, 2025

**What do you like best about Atlan?**

What I appreciate most about Atlan is how it transforms working with data into a truly collaborative and seamless experience. By bringing together people, data, and context in a single platform, it enables teams to genuinely understand and trust their data. I find it incredibly easy to locate what I need, document my work, and maintain organization without the usual confusion. Atlan is clearly designed to make data serve people, rather than forcing people to adapt to data. Its smooth integration with modern tools allows teams to work more efficiently, and it makes the entire data process feel more human, transparent, and enjoyable.

**What do you dislike about Atlan?**

One aspect I find challenging about Atlan is that it can sometimes feel overwhelming due to the sheer number of features and configuration options. For newcomers, the learning curve is quite steep before you can fully appreciate its value. There are also times when performance slows down, especially when handling very large datasets or complex integrations. Additionally, I would appreciate more flexibility in some customization options to better accommodate specific team workflows. However, these concerns are relatively minor compared to the overall experience—once you become familiar with the platform, Atlan proves to be both powerful and enjoyable to use.

**What problems is Atlan solving and how is that benefiting you?**

Atlan addresses one of the most significant challenges in the data world: the lack of visibility, collaboration, and trust in data. By bringing together scattered data assets, documentation, and context into a single, unified workspace, it becomes much easier to discover, understand, and confidently use data without wasting time searching or doubting its accuracy. Personally, Atlan has made collaboration across teams more efficient, reduced reliance on individual expertise, and enhanced overall data quality. It has also simplified onboarding for new team members and sped up decision-making by ensuring everyone has clear and reliable access to the right data when they need it.

  ### 6. Modern, metadata‑driven governance that teams actually want to use

**Rating:** 5.0/5.0 stars

**Reviewed by:** Greg S. | Principal Director, Data Intelligence & Privacy, Enterprise (> 1000 emp.)

**Reviewed Date:** May 05, 2026

**What do you like best about Atlan?**

Deep metadata, lineage, and ownership—finally governance that enables teams.

**What do you dislike about Atlan?**

Some advanced features require ramp-up, but docs and support help.

**What problems is Atlan solving and how is that benefiting you?**

Modern, metadata‑driven governance that teams actually want to use. Clearly compiling the enterprise data intelligence related to metadata cataloging, ownership, lineage, quality, and more.

  ### 7. Great Service and Product—Easy, Intuitive, and Accessible

**Rating:** 5.0/5.0 stars

**Reviewed by:** Verified User in Retail | Mid-Market (51-1000 emp.)

**Reviewed Date:** May 18, 2026

**What do you like best about Atlan?**

Great service, great product, easy to use

**What do you dislike about Atlan?**

Nothing jumps out to me overall very intuitive and accessible

**What problems is Atlan solving and how is that benefiting you?**

UNderstanding lineage and how data is flowing and how calculations are performed

  ### 8. Atlan _review

**Rating:** 5.0/5.0 stars

**Reviewed by:** Vivek  R. | Assistant Manager, Enterprise (> 1000 emp.)

**Reviewed Date:** September 29, 2025

**What do you like best about Atlan?**

The product stands out for its ease of use, making it accessible even for those who are not very tech-savvy. Implementation was straightforward, and I appreciated how the features were both comprehensive and practical. Integration with other tools was smooth, which made the overall experience even better.

**What do you dislike about Atlan?**

The AI capabilities are limited, and the automation feels quite rigid. Additionally, it lacks features for managing tasks across multiple teams.

**What problems is Atlan solving and how is that benefiting you?**

The platform offers data discovery and cataloging features, which help in organizing and managing information efficiently. Its automation and integration capabilities further streamline workflows, making it easier to connect different systems and reduce manual effort.

  ### 9. Outstanding Support and Effortless User Adoption

**Rating:** 5.0/5.0 stars

**Reviewed by:** Verified User in Manufacturing | Enterprise (> 1000 emp.)

**Reviewed Date:** May 14, 2026

**What do you like best about Atlan?**

The product support and the ease of adoption for users.

**What do you dislike about Atlan?**

The sales process could be a bit smoother, but overall no issues

**What problems is Atlan solving and how is that benefiting you?**

The Data Product Marketplace is critical to our Data & AI Strategy, a one stop shop to search, discover, learn, contribute and request access

  ### 10. Effortless Metadata Management with a Powerful Data Catalog and Semantic Layer

**Rating:** 5.0/5.0 stars

**Reviewed by:** Verified User in Financial Services | Enterprise (> 1000 emp.)

**Reviewed Date:** March 30, 2026

**What do you like best about Atlan?**

Atlan makes it easy to manage metadata, build a data catalog, and create a semantic layer of the company's data.

**What do you dislike about Atlan?**

There aren't really any downsides of Atlan besides some small functionality and features that would be nice to have.

**What problems is Atlan solving and how is that benefiting you?**

Atlan is helping us manage our data estate, make data discoverable, and helps provide a single platform to understand data and the business.

  ### 11. Magically Boosts Productivity and Workflow

**Rating:** 4.5/5.0 stars

**Reviewed by:** Arnold C. | Accounts, Small-Business (50 or fewer emp.)

**Reviewed Date:** November 06, 2025

**What do you like best about Atlan?**

It significantly enhances productivity, streamlines workflow, and makes implementation across the business remarkably easy, almost like magic!

**What do you dislike about Atlan?**

The customer support isn't particularly impressive, but it is still an improvement over what I've experienced with other competitors.

**What problems is Atlan solving and how is that benefiting you?**

Integration of the source data made seamless and data privacy/storage are top notch that I can sleep without any issues.

  ### 12. Atlan for modern data management

**Rating:** 5.0/5.0 stars

**Reviewed by:** Arijit S. | Chief Technology Officer, Mid-Market (51-1000 emp.)

**Reviewed Date:** December 22, 2024

**What do you like best about Atlan?**

Our experience with Atlan has been exceptionally positive, from initial exploration and technical evaluation to implementation and ongoing operational support. We included Atlan as part of our data infrastructure due to its intuitive user interface, robust product features, and forward-looking vision. Atlan's compatibility with the rest of our modern data stack (Snowflake, dbt, Sigma Computing) and other enterprise tools such as Slack, Google Workspace, and Chrome was a key factor, too.  The Atlan team provided ample opportunity to carry out a Proof of Concept (POC) and Proof of Value (POV), which included live demonstrations of functionalities to the various data stakeholders. Additionally, Atlan's pricing and support model were both reasonable and adaptable.

Setting up the platform was swift, with a few hours of onboarding calls spread over a week. We could quickly run scans on our Snowflake instance and set up integrations with other platforms like dbt. Later, when support for Sigma Computing was introduced, we could integrate the same on our own. Features such as web search of metadata and detailed column-level lineage for root cause and impact analysis were an instant hit with our data power users. 

The Atlan customer success team was meticulous in providing us with the necessary support to improve the adoption and engagement on the platform. They consistently strive to understand our specific use cases, deliverables, and business outcomes to provide optimal support. We appreciate how the Atlan team has supported us so far with active metadata management and helping improve the governance of our data and machine learning products.

**What do you dislike about Atlan?**

A strong product roadmap backs the vision, but the communication regarding the upcoming features and releases can be better. The concepts of Personas and Purpose overlap, and explaining them to most stakeholders is difficult.

**What problems is Atlan solving and how is that benefiting you?**

Helping find information about data is easier in a self service way that reduces dependency on data engineers and helps them focus on writing code. The lineage helps during impact analysis and troubleshooting. Establishing a better data governance is easier with a tool like ATlan.

  ### 13. Gratitude towards Atlan

**Rating:** 5.0/5.0 stars

**Reviewed by:** Param S. | Data Analyst, Small-Business (50 or fewer emp.)

**Reviewed Date:** November 04, 2025

**What do you like best about Atlan?**

Its user friendly data catalog and it is very supportive and collaborative.

**What do you dislike about Atlan?**

Limited customization for UI components.

**What problems is Atlan solving and how is that benefiting you?**

Ensuring good quality data.

  ### 14. Easy, Breezy, Data Governance

**Rating:** 5.0/5.0 stars

**Reviewed by:** Verified User in Telecommunications | Enterprise (> 1000 emp.)

**Reviewed Date:** November 08, 2024

**What do you like best about Atlan?**

Having used other tools in this space Atlan has a much better administrative and user experience than other tools. 
•It was easy to set up and integrate with our tech stack. 
•Navigating it feels intuitive which is critical to a metadata management system you need to put in front of multiple user personas.

They are also developing at a rapid pace which features getting releases each week and an eagerness to hear/respond to feedback. Some of the newer features aren't perfect but they are generally equiavalent to competitors and at the pace of development I see they pulling ahead.

Support has been great - we actually get responses from people that want to help instead of it going into a black hole.

**What do you dislike about Atlan?**

Would like to see usage reporting built into the product to help tell the story on its value and ensure we are positively driving adoption. Right now this is only available from a 3rd party source which wasn't mentioned to us and we'd have to get approval to use.

**What problems is Atlan solving and how is that benefiting you?**

Its integrating metadata from multiple systems and exposing it to our users in a easy to consume way so its organized, Discoverable and trusted.

  ### 15. Atlan: Best-in-class data catalog with customer-centric product development & services

**Rating:** 4.5/5.0 stars

**Reviewed by:** Verified User in Information Technology and Services | Enterprise (> 1000 emp.)

**Reviewed Date:** September 30, 2024

**What do you like best about Atlan?**

1. End-to-end view of data lineage across our whole data lifecycle: Atlan perfectly integrates with large parts of our tool stack (Snowflake, DBT, Tableau, Salesforce, Fivetran), which gives us great transparency into our data flows & structures. Especially being able to identify & export dependencies have been pivotal for our data incident management and requirements analyses for changes in our data structure. In order to paint a full picture of our tool landscape, we would love to see additional integrations being published for rETL tools like Hightouch, data quality tools like Metaplane or additional CRMs like Hubspot & Zendesk.

2. Outstanding support from our CSM & Customer Support team: Our CSM serves as a trusted advisor when it comes to the overall architecture of the tool and general data governance best practices. His level of support & commitment for us to get the most value out of the tool is far above the average SaaS CSM support. For instance, our CSM introduced us to a dedicated internal Data Governance Consultant, who took multiple hours of time to share his experience and advise us on how to effectively implement data governance at our organisation.
Likewise, the Customer Support team exhibit impressive technical understanding & structured problem solving, providing us with very timely and deep analyses of any issues coming up.  

3. Great pace of delivery for new features: Atlan regularly publishes highly relevant new product features at a fast pace. Very regularly, if we provide feedback around missing or non-optimal functionalities, it turns out that the respective feature is already on the roadmap and might even be released within the next couple of weeks. It has become very apparent that the product strategy is very much centered around customer feedback & pain points, which we appreciate a lot.

**What do you dislike about Atlan?**

1. Workflows/Playbooks: Atlan offers the Playbook functionality to automate metadata population, data owner assignments, tag assignments, etc. While this functionality has proven very useful already, I would love for the automation engine to become more powerful. Top features on our wish list would be event-based triggers, more effective approval processes, metadata propagation across lineage and outbound API call functionalities.

2. Pricing: While the Atlan team has been ensuring that pricing should not be a blocker for our data governance efforts, the list prices for connectors and member licenses are fairly high compared to other SaaS tools and only economical at high discounts. 

3. Bugs: While Atlan publishes new features at a very strong pace, there are somewhat regular cases where features do not work as expected and need to be fixed by the engineering team. It's worth calling out that in those cases, the fixes are implemented very quickly as well, though!

4. Permission management: The general permission management based on Personas & Purposes is somewhat too complex compared to other SaaS tools and not very user-friendly. We would love for our users to immediately see all metadata and assets that they have access to rather than having to switch between personas & purposes.

**What problems is Atlan solving and how is that benefiting you?**

Overall, we're very satisfied with Atlan and our collaboration with them. Atlan is a game changer for our data governance & data management efforts, especially for collaboration within our centralised data team. 

Atlan enables us to effectively share knowledge both within our data team and with external stakeholders by serving as a source of truth for our most important term & metric definitions. Terms & metrics can be easily & extensively documented in the Glossary including descriptions, in-depth ReadMes, custom metadata and external documentation (e.g. Confluence). It's also very helpful to be able to link these terms to suitable dashboards and tables to indicate where the source of truth for the respective term or metric comes from. 

We're also using Atlan for the documentation of our Snowflake tables. While some documentation has already been included in our DBT models directly, this documentation is not easily accessible for stakeholders or downstream consumers of the data (e.g. analysts). Using Atlan, we can democratise this documentation automatically by pulling the respective descriptions from DBT directly and populating them in Atlan. Using Atlans powerful API, we're also working on loading ReadMes from our directory directly, such that documentation for data engineers becomes easy to populate and consumable by stakeholders at the same time.

Atlan is proving to be highly effective to analyse up- & downstream dependencies of tables, data products and dashboards, significantly reducing communication efforts. For instance, exporting downstream dependencies for impact analysis and analysing upstream dependencies for root cause analysis in Atlan have become an integral part of our data incident management process. Being able to quickly identify impacted assets and their owners not only enables fast assessment of the incident impact. It also allows for immediate stakeholder identification, saving valuable time in the incident resolution. 

Lastly, we're also currently starting to use the Data Products & Data Domain features in more depth. Atlan allows to extensively document data products (e.g. description, ReadMe, criticality, sensitivity) and relate relevant tables and dashbaords via automated rules. By being able to add both data products and individual tables & dashboards to data domains, the tool is becoming our source of truth for data roles & responsibilities and valuable input for domain-specific reporting on data governance maturity.

  ### 16. Enabling our teams through better data access and visibility

**Rating:** 5.0/5.0 stars

**Reviewed by:** Verified User in Sports | Mid-Market (51-1000 emp.)

**Reviewed Date:** September 26, 2024

**What do you like best about Atlan?**

The best benefit of Atlan was the functionality for both front end users and our data engineering teams. Providing a common data glossary location tied directly with the data assets enabled us to make data more available and accessible to all data consuming teams. The flexibility in providing an area for data quality metrics to be visible right alongside each key dataset also provides next level confidence to our teams that the data they're accessing is accurate, complete, reliable, relevant, and timely.

Integration with our data platform was straightforward and ensuring all our data sources and reporting applications are all connected quick and effective. Any issues we had were resolved quickly with the customer success team and it's great to have regular check ins with them to learn of the new features on the product roadmap.

**What do you dislike about Atlan?**

The most difficult part is taking advantage of all the features. There is a lot it can do with Atlan and it will take time to implement. It's not a bad thing, it's just that you need to be aware of the extra time and resource required to make it as effective as it can be for your organisation.

**What problems is Atlan solving and how is that benefiting you?**

The main purpose of Atlan is bringing our data together in an easily searchable way for our data consuming teams. Secondly is about ensuring our data engineering team is always the first to know of any data issues and data quality tests will reflect in Atlan to ensure our staff always know the quality of the data they need to use.

  ### 17. Atlan Improves Data Visibility and Context

**Rating:** 4.5/5.0 stars

**Reviewed by:** Verified User in Real Estate | Mid-Market (51-1000 emp.)

**Reviewed Date:** September 16, 2024

**What do you like best about Atlan?**

Atlan is helpful for searchign data objects and understanding the context/lineage surrounding them. In addition to providing descriptions of data objects and their lineage, it also provides recent usage statistics, which can be helpful for identifying the significance of a data object, and source for the data (e.g. Snowflake etc). The search itself is easy to use and has good accuracy.

**What do you dislike about Atlan?**

Search can be overwhelming if you don't know what you're looking for or are searching general terms. Additionally, the lineage is helpful but doesn't provide much context on how exactly parent objects are leveraged in the context of the object you're using.

**What problems is Atlan solving and how is that benefiting you?**

We have a fairly complex data ecosystem, and it can be difficult to know where to find the data we're looking for, particularly when starting a new project. Atlan makes it easier to search across our organization for the most relevant results as well as understand the sources and dependencies of that data.

  ### 18. Democratizing Data: How Atlan Encourages Organization-Wide Collaboration

**Rating:** 5.0/5.0 stars

**Reviewed by:** Verified User in Insurance | Mid-Market (51-1000 emp.)

**Reviewed Date:** November 15, 2024

**What do you like best about Atlan?**

Atlan’s user-friendly interface encourages engagement across the board, regardless of technical expertise. The data lineage feature provides a clear, visual layout of our data stack, which has been particularly helpful in onboarding new hires by giving them immediate insight into our data architecture. The glossary feature is crucial for establishing a common understanding of terms and metrics throughout the company, with the ability to assign ownership to these definitions. Linking glossary terms to related assets further reinforces this shared understanding and accountability.

**What do you dislike about Atlan?**

The integration with Teams could be more refined. Specifically, it would be beneficial if requests for approval could be directed to the appropriate data owner or individual, rather than just an administrator.

**What problems is Atlan solving and how is that benefiting you?**

We lacked a consolidated view of our overall data landscape, and there was a clear need to standardize corporate terminology and metrics with defined lines of responsibility. Atlan addressed these challenges by providing a unified platform that supports our data governance and operational goals.

  ### 19. The most intuitive and leading metadata management product on the market

**Rating:** 4.5/5.0 stars

**Reviewed by:** sandeep k. | Sr Manager, Data Engineering & Analytics, Enterprise (> 1000 emp.)

**Reviewed Date:** August 26, 2024

**What do you like best about Atlan?**

Overall, the experience from inception to implementation was excellent. The sales team was very responsive, helping us answer all our questions and connecting us with the technical team to resolve any issues. This ensured a seamless product evaluation experience and timeline.he product is very easy to integrate with different collaboration tools and other data products. They have been adding many new features that were requested, ensuring the product is far more mature compared to other metadata management tools.

**What do you dislike about Atlan?**

Atlan’s licensing model limits your ability to use the product to its fullest potential if your organization has budget constraints. Since the licensing model is based on the number of users and connectors, you cannot expand it to everyone in the organization, and it costs more to add additional connectors

**What problems is Atlan solving and how is that benefiting you?**

Atlan addresses our company's challenges by making it easier to discover and organize data, which saves time and boosts efficiency. It also provides better enterprise visibility, reducing duplicate and inefficient queries, lowering compute and admin costs. Atlan increases data asset awareness, enabling easier access and understanding, which fosters innovation and business opportunities.

  ### 20. One of a kind player in the data space!

**Rating:** 4.5/5.0 stars

**Reviewed by:** Saatvik R. | Data Engineer, Enterprise (> 1000 emp.)

**Reviewed Date:** October 16, 2024

**What do you like best about Atlan?**

One of a kind player in the data space! Our experience with Atlan from the Proof of Concept stage all the way to the implementation has been nothing short of exceptional. The team is incredibly thoughtful with communication and documentation. They bring to the table a strong willingness to understand the gaps and solve problems

**What do you dislike about Atlan?**

Looking for more customization for the different kinds of data practitioners

**What problems is Atlan solving and how is that benefiting you?**

- Ease of discoverability, reducing time to implementation
- Collaborating with various other data practitioners. 
- Communicating and defining lineage

  ### 21. Using Atlan to enhance data governance and data visibility

**Rating:** 5.0/5.0 stars

**Reviewed by:** Verified User in Retail | Enterprise (> 1000 emp.)

**Reviewed Date:** September 09, 2024

**What do you like best about Atlan?**

It is user friendly and allows users to easily view a shopping window of all things data related in our eco-system, from raw data to managed data assets and reports, along with enriched meta data explaining what the data asset is, what is comprises of, and how its been built.

**What do you dislike about Atlan?**

That it does not yet have a google dataform connector :)

**What problems is Atlan solving and how is that benefiting you?**

Allowing a single pane of glass to view all of our data assets and how they are built in a simple and easy to understand tool for end users. Allowing users to answer questions for themselves and to see whats available without intervention from the data team. It also allows lineage level tracking for the technical teams and allows a platform for all data documentation instead of it living on a wiki that few know about

  ### 22. Atlan - Modern Data Governance platform

**Rating:** 5.0/5.0 stars

**Reviewed by:** Muaz H. | Independent Consultant - Data, Enterprise (> 1000 emp.)

**Reviewed Date:** October 20, 2024

**What do you like best about Atlan?**

Atlan is modern, scalable, easy-to-use platform able to seamlesly integrate with majority of technologies within our organization, create a complete catalog on top of a complex environment and surface lineages and dependencies between various databases.

**What do you dislike about Atlan?**

Integrations with non-native cloud and on-prem databases requires additional infrastructure and networking setup.

**What problems is Atlan solving and how is that benefiting you?**

Atlan is helping our organization with the following:
- Data Catalog - An ability to surface catalog of Data Warehouse, Transactional Databases and Data Pipelines in a highly complex environment
- Data Quality and Ownership - Ability to pinpoint critical data and its impact to our clients
- Business Glossary - A single source of truth for all things data

  ### 23. Atlan is a game changer & pioneer in modern Data Governance space

**Rating:** 4.5/5.0 stars

**Reviewed by:** Murali B. | Data Platform Engineer/ Architect, Mid-Market (51-1000 emp.)

**Reviewed Date:** August 05, 2024

**What do you like best about Atlan?**

Richness of Features, Design Flexibility of workflow as per our needs + standard templates, Super Quick Response/support from Atlan Team, Leading the thoughtprocess in Data Product space.

**What do you dislike about Atlan?**

Error logs of batch processes are too verbose & it will be challenging to pin point any error. However, there are rarely any errors + atlan support proactive in addressing/advising on the errors.

**What problems is Atlan solving and how is that benefiting you?**

Managing Metadata is a challenge for us, with tons of tech savvy business users generating data content that will consume similarly tech savvy users of the organization in a fast paced manner. Self-service, open source tool integration, and click-and-go features were critical for our business, so that data governance does not slowdown the business, instead of helping to speed up the business. Altan was a perfect solution to that problem.

  ### 24. Atlan enabled data democratisation for us and reduced the dependency on the data engineering team.

**Rating:** 4.5/5.0 stars

**Reviewed by:** Verified User in Financial Services | Mid-Market (51-1000 emp.)

**Reviewed Date:** July 05, 2022

**What do you like best about Atlan?**

Atlan helped us democratise the data. We, the data team, receive a huge number of requests from teams across the organisation. Atlan helped us put the data in their hands enabled them to be independent.

**What do you dislike about Atlan?**

Like every product in the market, Atlan is not yet complete. There are many features that are yet to be developed that will bring more value to the users.

**What problems is Atlan solving and how is that benefiting you?**

It solves the issue of data democratisation, thereby reducing the load on our data engineering team. Now our engineering team can perform more meaningful tasks than just operating as a data support team.

  ### 25. Great business-friendly data catalog for smaller enterprises

**Rating:** 4.5/5.0 stars

**Reviewed by:** Verified User in Insurance | Mid-Market (51-1000 emp.)

**Reviewed Date:** September 23, 2024

**What do you like best about Atlan?**

Atlan has a comfortable UI that is fairly intuitive to navigate, even for team members who don't interact with data often.

**What do you dislike about Atlan?**

The lack of a native Airbyte connecter has prevented us from getting as much value as possible from Atlan, and while the integrations with other systems such as Tableau are there, it isn't as in-depth as it could be.

**What problems is Atlan solving and how is that benefiting you?**

Atlan helps us to establish a common language around our data, find data that is available, and understand how to utilize it.

  ### 26. Exceptional Data Cataloging Tool for Metadata Management

**Rating:** 5.0/5.0 stars

**Reviewed by:** Nitin S. | Data Warehouse Engineer, Enterprise (> 1000 emp.)

**Reviewed Date:** February 23, 2024

**What do you like best about Atlan?**

Atlan's modern and intuitive UI facilitates quick onboarding for new users.
The Chrome extension and metadata discovery within preferred tools are highly valued features.
Lineage tracking between data platforms and drill-down to column-level lineage aids in investigations.
The tailored implementation blueprint helped us focus on the right tasks.
Atlan's wide range of supported integrations and ease of integration are commendable.

**What do you dislike about Atlan?**

Documentation updates were inconsistent, potentially due to rapid development.

**What problems is Atlan solving and how is that benefiting you?**

We has a collection of data from widely different sources and teams find it dfficult to locate and understand the data they need. By making it all searchable under a single tool is helping a lot. Alongside that, the business glossary is helping teams collaborate and define terms to agree upon.

Lineage across tools and the chrome extension has made it very helpful and easy for teams to adapt to the tool.

  ### 27. Great way for teams to browse data

**Rating:** 4.5/5.0 stars

**Reviewed by:** Verified User in Renewables & Environment | Enterprise (> 1000 emp.)

**Reviewed Date:** September 05, 2024

**What do you like best about Atlan?**

Good interoperability with multiple data sources. Allows users to see what is available across all assets in a single spot. Reasonably easy to navigate for the data neophyte. Our support experience has been good. We use it frequently for small scale data consumption requests.

**What do you dislike about Atlan?**

We would like to see a feature that would publish the results of a saved query on a set cadence.

**What problems is Atlan solving and how is that benefiting you?**

Filling the gap in meta data management. Providing an easy portal to our data for the teams.

  ### 28. Atlan - AI based metadata management for datalakes

**Rating:** 4.5/5.0 stars

**Reviewed by:** Uddipan M. | Engineering Manager, Enterprise (> 1000 emp.)

**Reviewed Date:** January 16, 2024

**What do you like best about Atlan?**

Atlan provides detailed metadata on data plarforms, It can connect to several data lakes and warehouses and fetches information like usage, lineage, table and column descriptions, no of queries, table level activities etc. It enables data lake warehouse usage analytics easy and user friendly. AI generated suggestions for deble and column description feature is also usful. Integration with communication tools like Slack save time to communicate and describe tables to users

**What do you dislike about Atlan?**

Sometime Atlan is bit slow to load all information about a data asset, which can deter users. Role based access mechanism is useful for user authorization, but sometime it is confusing if you have access to multiple roles.

**What problems is Atlan solving and how is that benefiting you?**

Previously it used to take a lot of time find usage details, lineage information, quality information about a data product. Now, Altan showcases all metadata information about all data assests in a central place.  Its hugely time saving for data engineers, analysts, and data scientis to get information about the product. Data assets can be easily shared accross by integrated communication tools like Slack. Overall it plays a crucial role in the journey of data analytics democratization throughout the organization.

  ### 29. Best-in-class Active Metadata Management Tool

**Rating:** 4.5/5.0 stars

**Reviewed by:** Jorge P. | Data Governance Senior | Data Catalog & Data Observability Platform Lead, Financial Services, Mid-Market (51-1000 emp.)

**Reviewed Date:** December 11, 2023

**What do you like best about Atlan?**

1. Atlan is deeply committed to innovation. Its products, such as Atlan AI and Atlan Mesh, are redefining the concept of an Active Metadata Management tool, also known as a data catalog.
2. The customer support and customer solutions teams at Atlan are highly engaged in helping clients achieve their goals. They often create custom packages or solutions to meet specific needs.
3. Atlan’s Chrome extension is noteworthy. It offers the convenience of an embedded Atlan solution within Databricks, Power BI, Google Chrome, and other platforms, eliminating the need to switch between applications. This seamless integration enhances user experience and productivity.

**What do you dislike about Atlan?**

While the product documentation is publicly available, some of it is outdated, which can sometimes lead to confusion among clients. Additionally, information about bugs and fixes is not readily available on the official website. Once a request is opened, it’s currently not possible to assign a priority level to it. This is an area that could benefit from improvement.

**What problems is Atlan solving and how is that benefiting you?**

Previously, Data Discovery was only available for a select few data and analytics roles. However, Atlan has provided the opportunity to leverage data quality from data assets through impact analysis and root cause analysis.
With Atlan’s workflow features, metadata and lineage curation have become possible. The tool also allows for the massive import of Business Metadata with custom packages and automation (playbooks).
Reporting analytics is another key feature of Atlan. It generates insights from tool usage, providing valuable data such as the number of weekly active users, the number of curated assets, assets with lineage, popularity, and more. This information can be instrumental in understanding user engagement and improving the overall user experience.

  ### 30. New Data Governance Strategy Easily Implemented with Great Platform

**Rating:** 4.5/5.0 stars

**Reviewed by:** Tony B. | Data Governance Manager, Enterprise (> 1000 emp.)

**Reviewed Date:** November 29, 2023

**What do you like best about Atlan?**

1.) Using lineage to conduct impact and root cause analyses to clean up our data. We were in the middle of a data re-architect before bringing in Atlan and now having it we can easily spot assets without queries or downstream attachments for clean-up and deprecation.

2.) Easy to use and intuitive UI, the browser extension is icing on the cake, end users can view information in Atlan without having to switch from their current screen to the platform, which is going to aid immensely in adoption. We've had users already solve issues using Atlan with little to no training.

3.) Customization features from personas and policies, to customizable messaging and scorecards to ensure integrity and accuracy the first time.

**What do you dislike about Atlan?**

1.) Some of the sublayers in licensing privileges are not clearly delineated and need to be specified at the persona level which could cause overages. A great example is insights licenses are not granted at the individual level.

2.) Atlan only goes to the tile level in Looker, it would be nice if they went all the way to the calculation for lineage and specificity without having to manually define it.

3.) The UI has basic spelling and grammar errors that could be cleaned up.

**What problems is Atlan solving and how is that benefiting you?**

- Curate sources of truth for data, document processes and definitions in one place, ensure relevance with periodic reminders.
- Implement standard communication processes.
- Mapping data from source to destination for root cause and impact analysis
- Permission and access governance 
- Standardization across the tech stack
- Scorecards on metadata reporting to ensure maximum business ROI

  ### 31. Best in Class Data Catalog

**Rating:** 5.0/5.0 stars

**Reviewed by:** Verified User in Computer Software | Mid-Market (51-1000 emp.)

**Reviewed Date:** January 05, 2024

**What do you like best about Atlan?**

It is one of the best data catalogs in the market and I would say it has the best UX. It is easy to adopt and is designed to be close to where your users are looking at data (It has a plugin), which makes adoption a lot easier. 

We are still rolling out all the features, but so far we have seen a lot of value, specially using the lineage functionality.

**What do you dislike about Atlan?**

It would be great if they had an easy way to add assets they have no connectors for. While the APIs are great, one of the reasons we selected them, there are tools where using engineering resources is too expensive or the tool we want to connect to does not have APIs. I understand we would not have all the features the API or the connector gives us, but it will not stop us from adding ALL data related reports in Atlan. Right now, we found a hack using Glossaries, but it would be ideal if they could make that available without hacks.

**What problems is Atlan solving and how is that benefiting you?**

It is making it easy for our users to discover our data assets and self-serve themselves at scale. 

It is saving us a lot of time when we need to do an impact analysis e.g. what assets will be impacted downstream from making this change in our warehouse. 

It is helping us streamline how we manage our data assets and making it the central place for all things data. Data consumers can submit tickets on a dashboard that has a bug or if they have an idea. It is a repository of all our knowledge around specific assets.

  ### 32. Atlan: A New Cornerstone In Our Data Management Journey

**Rating:** 5.0/5.0 stars

**Reviewed by:** Verified User in Financial Services | Enterprise (> 1000 emp.)

**Reviewed Date:** December 05, 2023

**What do you like best about Atlan?**

Atlan seamlessly integrated into our modern data stack, with Snowflake and Sigma at its core. The integration with Sigma, empowered by the Chrome Plug-in, emerged as a standout feature for us, elevating user experience and adoption. With the Chrome extension, all users in our BI enviornement have an enriched experience with Atlan providing data definitions and lineage while also enabling users to submit Jira tickets without leaving Sigma.

**What do you dislike about Atlan?**

The Atlan University is a great resource and training tool. However, the format of the short videos without seamless transitions could be improved.

**What problems is Atlan solving and how is that benefiting you?**

Our initial use case was finding a tool that could enhance our Data Governance strategies. However, when evaluating the product we found feature after feature that could either enhance user experiences, increase efficency, or identify cost optimization opportunities. Atlan quickly solved our Data Governance use case, but it also became a cornerstone for creating an enriched data enviorment through the creation of data glossaries, adding content and tags to objects via automated playbooks, and creating an opportunity to explore data and where it comes from through the lineage functions.

  ### 33. Next Generation Data Governance

**Rating:** 5.0/5.0 stars

**Reviewed by:** Tom W. | Enterprise (> 1000 emp.)

**Reviewed Date:** June 30, 2023

**What do you like best about Atlan?**

Clean, user friendly interface. Was relatively painless to get all of our data sources added in quickly and we had all of our sources supported right out of the box. Beyond the obvious usefulness of end to end lineage, that mining features are also great for understanding what tables and columns are most used, and even helps identifying slow or expensive queries. Chrome extension allows users to get to information without switching applications and Teams integration helps keep questions centralized and front of mind for the org. Support and Customer Success have been great to work with. Upcoming AI features will make managing the platform with minimal staff even easier, and should also help drive user adoption through ease of use.

**What do you dislike about Atlan?**

One function I would like to see added is the ability as an admin to see the application as a particular user does. With personas and purposes you can deeply customize what a user can see and do and having the ability to quick validate that instead of needing test accounts would be a timesaver.

Additionally the text editing in the Glossary is extremely basic and needs simple functions like Undo added.

**What problems is Atlan solving and how is that benefiting you?**

Atlan is making it easier for business users to understand exactly how metrics are being calculated, where that data is coming from, and if there are any known issues with it. Combination of the data lineage and glossary removes all of the mystery behind where numbers are coming from and will increase confidence in the accuracy of what they are seeing. This also frees up the data team to focus on future enhancements instead of spending so much time answering questions and chasing down issues.

  ### 34. Easy to use

**Rating:** 4.5/5.0 stars

**Reviewed by:** Kelsey C. | Mid-Market (51-1000 emp.)

**Reviewed Date:** February 16, 2024

**What do you like best about Atlan?**

The tool is very intuative to navigate, making it so we don't have to do a lot of training for new users. Implimentation was also easy and their customer support has been great!

**What do you dislike about Atlan?**

The lack of flexibility around custom fields.

**What problems is Atlan solving and how is that benefiting you?**

We have a way for business users to easily document trible knowlage, link business terms to technical assets so people can self serve on knowing where in the database to get data and knowing the definitions of the data they are using. Allows our technical teams to have a diagram of how lineage.

  ### 35. Data Cataloging Simplicity

**Rating:** 4.5/5.0 stars

**Reviewed by:** Kate O. | Mid-Market (51-1000 emp.)

**Reviewed Date:** July 12, 2023

**What do you like best about Atlan?**

Atlan is great for our data stakeholders to be able to easily find data in our data lake.  There is data that some stakeholders didn't know existed.  In addition, their Insights feature makes it very easy for someone with limited SQL experience to query data.

**What do you dislike about Atlan?**

One of the downsides is a feature that we haven't been able to use yet.  They have the ability to create data lineage from your metadata.  Unfortunately, our data is stored in Athena which isn't currently supported.

**What problems is Atlan solving and how is that benefiting you?**

We used to keep our data dictionaries in an Excel spreadsheet and our data engineers had to make modifications to the sheet every time a table was modified.  With the introduction of Atlan, our stakeholders were able to access the data and we were able to have it automatically update the metadata when tables were modified.  This meant our data engineers could focus on creating new pipelines and doing the transformations we needed.  It increased productivity because the data support questions could often be answered by Atlan.

  ### 36. Industry leader in data cataloguing through active metadata.

**Rating:** 5.0/5.0 stars

**Reviewed by:** lawrence g. | Data Governance , Enterprise (> 1000 emp.)

**Reviewed Date:** September 22, 2023

**What do you like best about Atlan?**

1. Usability and UI really stands out
2. Alignment with the modern data stack and brilliant integartions with tools like Snowflake
3. Support team with a wealth of knowledge
4. A Wealth of capabilities and features with customisation through playbooks which is really helpful for things like classification tags.
5. Out of the box reporting with customisation 
6. Speed to delivery, innstance was setup in less than 48 hours
7. AI and Machine learning capabilities for automation curation, speeds up defitions anf approvals

**What do you dislike about Atlan?**

Some improvement areas would be:

1. Improvements to integartions with Excel which is coming soon.
2. Customisable profiling rule, OOTB capabilities dont allow you to customise profiles, although this can be worked around through querying.
3. More customisation with reporting

**What problems is Atlan solving and how is that benefiting you?**

We are building Atlan as the single UI for all of our data users, proving transparancy in how data is curates, calculated and owned. Speeding up delivery through self service for our global analysts and supporting our efforts in validating our data estate

  ### 37. Modern Catalog with E2E Visibility

**Rating:** 5.0/5.0 stars

**Reviewed by:** Gu X. | Enterprise (> 1000 emp.)

**Reviewed Date:** July 03, 2023

**What do you like best about Atlan?**

Atlan has built-in first party integrations with Snowflake, PowerBI, Sigma, Fivetran, and dbt. 
Instead of relying on engineering teams to spend months at a time to integrate to Atlan, we can get quickly up and running in weeks, if not days.
Atlan has one of the strongest data lineage parsing mechanisms out there that creates a comprehensive data lineage view of data assets from Snowflake database tables / views to the models that transform them, and even exposes through to PowerBI.
The interface is easy to use and bridges the gap between technical metadata and business contexts of datasets with the glossary of the organization.
Its true strength is enabling a single collaboration area between engineers, analysts, and business users alike to empower organizations to become data centric.

**What do you dislike about Atlan?**

Although Atlan is expanding into various integrations across the ecosystem, there needs to be a way to accelerate the first party integrations to other strong ecosystem partners like Coalesce and Soda.

**What problems is Atlan solving and how is that benefiting you?**

In our organization, our analysts and engineers are spending an outsized amount of time answering questions about data.
This is due to a combination of different factors where ultimately, we lack the ability to have visbility and transparency across the data assets in our organization.

Atlan will be solving this by providing a holistic view of our datasets from source to reports that will then empower our business users to self service their own questions across data.

  ### 38. Atlan as the ideal interactive business metric catalog product

**Rating:** 4.5/5.0 stars

**Reviewed by:** Ondřej C. | Enterprise (> 1000 emp.)

**Reviewed Date:** June 23, 2023

**What do you like best about Atlan?**

Atlan provides not only a robust product for metadata management, but also a great customer experience in terms of both UI as well as implementation support. 
I especially liked the seamless integration with our data assets hosted in BigQuery and Looker.
Our Customer Success Manager and his team were extremely helpful during the rollout and provided various practical advice on how to engage the relevant teams in my company.

**What do you dislike about Atlan?**

As the product is complex and dynamic (improvements keep on coming), there were a few cases where it did not work perfectly. Fortunately, all operational issues were rather quickly (hours-days) resolved by the helpful support team.

**What problems is Atlan solving and how is that benefiting you?**

The main use case for us is the introduction of a single source of truth for business metric definition, including live links to our data assets (DB & BI tools) and additional information about the business metrics (ownership, description, links to other documentation etc.)

  ### 39. Next generation data cataloging, discovery and governance

**Rating:** 4.5/5.0 stars

**Reviewed by:** Vidmantė . | Mid-Market (51-1000 emp.)

**Reviewed Date:** August 24, 2023

**What do you like best about Atlan?**

Atlan's integration capabilities have impressed our data engineering team, providing a seamless setup experience.

The user experience (UI) of Atlan deserves special mention. Its intuitive interface simplifies navigation and usage, making it a powerful tool for metadata management.

Additionally, the considerable engagement demonstrated by the Atlan Account Executive and Engineer contributed to a seamless tool evaluation process. The Customer Success Management program played a crucial role in effectively planning and executing the rollout process.

**What do you dislike about Atlan?**

Depending on a company's maturity level, the multitude of features provided by Atlan can be overwhelming. While these features hold significant potential, their abundance might prove to be overpowering for new users, potentially hindering their ability to fully leverage Atlan's capabilities.

**What problems is Atlan solving and how is that benefiting you?**

Atlan helps to address a range of data management challenges:

1. Search and Discoverability: Atlan's robust features enable effortless search and discovery of data assets. This enhanced accessibility facilitates data-driven decision-making.

2. Data Lineage: Atlan's capabilities in providing data lineage offer a comprehensive view of data journeys, contributing to better understanding and analysis.

3. Ownership, Governance, and Access Management: Atlan's features ensure clear ownership and governance of data assets. 

4. Reducing Dependency on Data Personnel: By serving as a comprehensive repository of information about data assets, Atlan results in improved work efficiency and accessible data-related context.

  ### 40. Incredible tool for data-curious users

**Rating:** 5.0/5.0 stars

**Reviewed by:** Sagar S. | Mid-Market (51-1000 emp.)

**Reviewed Date:** June 15, 2023

**What do you like best about Atlan?**

I love how easy it is to get access to find the answers I need using SQL. Before Atlan, I would have needed to jump through many loops to access our data. With Atlan, I can access all tables, which are organized and described clearly so that I can discover data efficiently. Atlan also makes crafting, saving, sharing, managing, and reusing SQL queries simple.

**What do you dislike about Atlan?**

Nothing - even when I have had issues in the past, Atlan's team would work to resolve them quickly.

**What problems is Atlan solving and how is that benefiting you?**

Atlan helps teams answer questions quickly. They provide the tools needed to get into your data and come out with a clearer understanding of what you need to be answered. They make this process as seamless as possible, ensuring the user can focus on the decisions they need to make instead of messing with data.

  ### 41. Atlan is a great tool with fantastic customer support

**Rating:** 4.5/5.0 stars

**Reviewed by:** Heidi J. | Mid-Market (51-1000 emp.)

**Reviewed Date:** May 24, 2023

**What do you like best about Atlan?**

Our data engineering team have enjoyed the ease of setup with Atlan as dbt documentation work they had already done easily surfaced to Atlan to populate the asset profile fields. Also, the asset fields automatically populated by Atlan have been very helpful in our setup process, making the information in the tool already useful for our working processes. In addition, the customer support from Atlan has been phenomenal, providing support and resources for every step of the way.

**What do you dislike about Atlan?**

We had some technical issues during our setup, but Atlan support has been quick to troubleshoot and offer solutions as we've worked through any problems that have come up.

**What problems is Atlan solving and how is that benefiting you?**

- Providing greater access to, and trust in, data at our organization
- Enabling self-serve analytics for data consumers at our organization
- Decreasing dependencies on data personnel for information about data assets
- Enabling automation around data information at our organization

  ### 42. A great product, with even better potential.

**Rating:** 4.5/5.0 stars

**Reviewed by:** Verified User in Information Technology and Services | Mid-Market (51-1000 emp.)

**Reviewed Date:** July 26, 2023

**What do you like best about Atlan?**

What I appreciate most about Atlan is its emphasis on collaboration and automation. Its ability for data discussions and annotations make it a truly collaborative platform, stimulating efficient dialogue among data teams. This increased level of collaboration often leads to enhanced data understanding and more insightful decision-making.

The platform's automation also plays a significant role in its appeal. In just a few clicks, we can automate repetitive tasks, allowing us to focus our time and energy on providing insights rather than wrestling with tedious data management tasks.

Combined with its robust data governance capabilities and comprehensive audit trails, Atlan simplifies data oversight and assists in staying compliant with data protection regulations. Overall, Atlan's dedication to fostering an easy, collaborative, and compliant data environment is what I find most compelling.

**What do you dislike about Atlan?**

Despite its myriad of features, Atlan has one significant setback that can affect new users most: its onboarding process. Getting up to speed with Atlan's tools and functionalities can be quite challenging due to the steep initial learning curve. This might be attributed to its wealth of features and capabilities which, while beneficial in the long run, can overwhelm users.

**What problems is Atlan solving and how is that benefiting you?**

Atlan has been instrumental in addressing several critical data management issues in our workflow. To begin with, as an organization with colossal volumes of data to work with, finding the right data when needed used to be like looking for a needle in a haystack. Thanks to Atlan's data catalog and discovery capabilities, we've managed to centralize our data resources, making it much easier to access and discover the right data when we need it.

When it comes to team collaboration, Atlan has been great. Before using Atlan, collaboration on data projects used to be complicated, lengthy, and prone to miscommunication. With Atlan's rich-sharing and collaborative features, all members of the team can collaborate on shared data assets, add their input, and make decisions collectively in real-time, leading to more cohesive collaboration and decision-making.

Data governance and compliance is another critical area where Atlan has proven invaluable. Atlan's automated compliance checks and comprehensive audit trails have made maintaining compliance a much more effortless process. This feature not only minimizes risks but also offers peace of mind, knowing that we are handling data ethically and responsibly.

In essence, Atlan has played a pivotal role in streamlining our data processes, promoting data democratization, ensuring compliance, and fostering better collaboration within our data teams.

  ### 43. Catalysts for metadata evangelism

**Rating:** 5.0/5.0 stars

**Reviewed by:** Abhilash A. | Enterprise (> 1000 emp.)

**Reviewed Date:** June 12, 2023

**What do you like best about Atlan?**

Product value proposition in its extensibility to meet our evolving metadata ingestion, enrichment, and publishing requirements with relatively short time, is appealing. 

Working with results oriented, adaptable customer success team is a fantastic experience. They are enthusiastic advocates and experts who recognize the benefits of metadata in data governance, data integration, data quality, and overall data management.

**What do you dislike about Atlan?**

Some users reported page loading, quality of search results issues that have been surfaced to Atlan team. 

For Platform adminitrators of  a multitenant data platform, ability to create admin of admin role, and ability to preview assuming roles are sorely missed.

**What problems is Atlan solving and how is that benefiting you?**

Integrating data discovery capability with associated platform capabilities for Data Quality, Metadata Capture, User Access among others.

  ### 44. Streamline the Metadata Management: Unlocking Efficiency and Accuracy

**Rating:** 5.0/5.0 stars

**Reviewed by:** Jasmine S. | Mid-Market (51-1000 emp.)

**Reviewed Date:** June 15, 2023

**What do you like best about Atlan?**

I'm responsible for building up the glossary in Atlan - the reason why we believe Atlan is a user-friendly and collaborative metadata management platform and is the perfect fit for building up our glossaries are below:

1. Definitive definitions: 1) The glossary allows users to define and document business terms and metrics, providing clear and consistent definitions to ensure a shared understanding. 2) The glossary provides contextual information, including synonyms, abbreviations, acronyms, and related terms. 3) Terms and metrics can be categorized and organized in a hierarchical structure, facilitating easy navigation and browsing based on domains, topics, or functional areas.
2. Search and Discovery: The glossary offers powerful search capabilities, enabling users to quickly find specific metrics or related information. Users can search by keyword, browse categories, ownership, or apply filters to refine their search results.
3. Data Lineage and Impact Analysis: The glossary is integrated with data lineage and impact analysis features. Users can understand how terms are used within reports, dashboards and other data assets, and trace their impact across the data ecosystem.
4. Collaboration and Annotation: Users can collaborate by adding comments, annotations, or additional context to term definitions. This encourages knowledge sharing, discussions, and alignment on the understanding of terms.

**What do you dislike about Atlan?**

1) Pricing: Atlan's pricing structure may not be suitable for low budget companies, especially for small organizations or startups with limited resources. Will enterprise pricing plan in the pipeline?
2) Learning Curve: It might take some time for users to become proficient in navigating and utilizing all the functionalities effectively.

**What problems is Atlan solving and how is that benefiting you?**

During our implementation of the Notion glossary, we gained valuable insights and underwent a significant learning experience. However, we encountered a set of challenges that have led us to make the decision of transitioning to a more suitable tool capable of effectively serving the entire organization. Below are the key learnings we derived from this process:

1. Inadequate understanding and communication 

In many cases, there is a lack of sufficient understanding regarding critical topics, particularly when it involves metrics that are defined differently across various teams. Let's consider the example of DIFM. Due to breakdowns in communication, aligning the calculations for different perspectives of net revenue took considerable time and effort.

1. Operational complexity

Given the unique nature of our business, certain metrics can be challenging to grasp, such as revenue recognition at different points in time. Additionally, there may be high entry barriers for one department to understand the metrics used by another department. Moreover, when our business model undergoes changes, there tends to be a multitude of news and updates that colleagues outside the core team or channel might not be aware of, resulting in a lack of context.

1. Lack of ownership 

Colleagues often express a desire to learn more about specific metrics, but struggle to identify the appropriate team or location to access the relevant information. Complicating matters further, the search experience in Notion is suboptimal. For instance, when using a table (database), users are required to load the entire table to perform a search or add filters to narrow down their search. This limits the efficiency and ease of finding the desired metrics and related information.

  ### 45. Super Helpful for a Mobile Gaming Company That Collects TONS of Data!

**Rating:** 5.0/5.0 stars

**Reviewed by:** Rachel A. | Lead Analyst, Mid-Market (51-1000 emp.)

**Reviewed Date:** March 29, 2023

**What do you like best about Atlan?**

As a mobile gaming company, we collect TONS of data. We were mainly attracted to Atlan because we needed a "source of truth" for all our data sources and a data lineage tool. Atlan has made it easy to document our rapidly growing database and reports, as well as visualize how each asset connects. Atlan has also made it possible for our non-analytical teams to search for Tableau reports and query our database without SQL coding skills.

We especially love how easy it was to get Atlan up and running. It integrated with all our existing tools (Slack, Jira, Tableau, Snowflake, etc.), and the Atlan team has been with us at every step. The customer service has been phenomenal -- even post-set-up. Shoutout to Steven for creating personalized tutorial videos for us! Thank you!

**What do you dislike about Atlan?**

Just a few bugs here and there, but Atlan's support team has been extremely responsive and helpful!

**What problems is Atlan solving and how is that benefiting you?**

Data governance, data lineage, documentation. Atlan has saved our analytics team so much time and energy by acting as a "source of truth"! We're able to focus on our own tasks rather than performing simple queries for other teams.

  ### 46. Collaborative Metadata Management with Atlan and dbt: My Experience as a Data Engineer

**Rating:** 5.0/5.0 stars

**Reviewed by:** Fadith E. | Mid-Market (51-1000 emp.)

**Reviewed Date:** March 24, 2023

**What do you like best about Atlan?**

As a data engineer, I've been particularly impressed by Atlan's ability to easily integrate metadata generated by dbt and custom metadata. The integration with GitHub has also been beneficial, allowing for seamless collaboration between team members on data projects. I've found that the visual representation of lineage has been precious in understanding how data flows through the system, and seeing the complete lineage at a glance is a significant time-saver. Additionally, I've had a very positive experience with the integration between Atlan and dbt, which has been reliable and straightforward to use. Overall, Atlan has made collaborative metadata management a breeze, and I would highly recommend it to other data engineers looking to streamline their data management processes.

**What do you dislike about Atlan?**

One area that could be improved with Atlan is the website speed. Unfortunately, I've found that the majority of the time, the website is quite slow. This can be frustrating when trying to complete tasks efficiently, and I hope that Atlan can address this issue in the future to improve the user experience.

**What problems is Atlan solving and how is that benefiting you?**

Atlan has been a tremendous asset in my work as a data engineer, providing several key benefits that have helped streamline my workflow. One of the most significant advantages of using Atlan is that it makes it much easier to share information about the tables generated with anyone, even those who may not have a deep understanding of data structures. Additionally, the custom metadata feature has been invaluable in showcasing when tables are updated and the frequency of these updates. Finally, being able to quickly identify the resources affected in any workflow has saved me significant time and effort when troubleshooting. Overall, Atlan's collaborative metadata management has made my work more efficient and effective, allowing me to focus on other important tasks.

  ### 47. Great experience! The simplicity allows for a great user experience.

**Rating:** 5.0/5.0 stars

**Reviewed by:** Cesar  C. | Mid-Market (51-1000 emp.)

**Reviewed Date:** July 10, 2023

**What do you like best about Atlan?**

The search option for looking up data sources/fields is beneficial. I believe this is the most used resource due to the data in our databases. The ability to add definitions to the fields ensures the correct data source is selected.

**What do you dislike about Atlan?**

Atlan has a lot to offer, but knowing what all Atlan can be used for is challenging.

**What problems is Atlan solving and how is that benefiting you?**

Atlan solves the issues of locating data tables and fields. The search ability helps users find the proper data source to complete their job functions without depending on a specific team to point them to the correct source.

  ### 48. Best modern data catalog tool and home to data teams

**Rating:** 5.0/5.0 stars

**Reviewed by:** Larisa G. | Mid-Market (51-1000 emp.)

**Reviewed Date:** March 20, 2023

**What do you like best about Atlan?**

Atlan was created by data engineers for data engineers. Utilizing Atlan's integration with Reshift, Aurora and Tableau provided us with rich data and metadata insight, allowed for a super fast impact analysis using lineage, and eliminated the need to document data changes manually.  Atlan allowed us to create a centralized place for business analysts to find information about company data, definitions and metrics, glossary, and project documentation. The interface is simple and very intuitive, so minimal training is required. Atlan is excellent as an onboarding tool for business and data people alike. Their APIs are easy to use and well-documented, and Google-like search makes finding data assets easy.  All these features provided immense value to our users. Overall, Atlan has drastically reduced our workload in organizing data and metadata as a single source of truth. And lastly (and most importantly), Atlan has outstanding customer service; it has been with us every step of the way during the initial implementation and continues to support us with adopting the tool. They listen to their customers and address any issues very quickly.

**What do you dislike about Atlan?**

There is nothing to dislike about Atlan, as the business specifics drive some of our challenges.

**What problems is Atlan solving and how is that benefiting you?**

Atlan helped us democratize our data. The data team receives many requests from business teams across the organization. Atlan helped us put the data in their hands, enabling them to be independent.
Atlan also became a true home for the data team, increasing our productivity by reducing the time needed for impact analysis, training and onboarding

  ### 49. Metadata Management

**Rating:** 5.0/5.0 stars

**Reviewed by:** Brian T. | Enterprise (> 1000 emp.)

**Reviewed Date:** March 17, 2023

**What do you like best about Atlan?**

Atlan reduces the time developers spend understanding context of their data assets. It gives data producers a platform to document and a place for consumers to learn and understand data. The platform is intuitive and integrates with our existing application ecosystem.

**What do you dislike about Atlan?**

There is nothing I dislike about Atlan. One downside of the product is switching from your data model, database, or BI layer to the Atlan UI to get more information about the data. Having Atlan embedded within the BI layer would be helpful and is already being worked on/available.

**What problems is Atlan solving and how is that benefiting you?**

- Reduces time developers spend understanding context of data - this allows us to generate more meaningful ETL more quickly and allows us to have a better handle of our data assets
- Allows consumers to get closer to the data and understand it more easily with data definitions, query preview, glossaries, etc - this allows requirements to be more specific

  ### 50. Lot's of fun!

**Rating:** 5.0/5.0 stars

**Reviewed by:** Katarzyna B. | Mid-Market (51-1000 emp.)

**Reviewed Date:** March 01, 2023

**What do you like best about Atlan?**

Desired functionalities are working as we expected
The tool is very intuitive and simple to use
All of our data tech could be integrated (S3, Tableau, Redshift, Snowflake, BigQuery)
Very good support from the Atlan team in the onboarding and also AFTER!
Reasonable cost

**What do you dislike about Atlan?**

Nothing so far. Some simple issues with some special chars in usernames keep coming back, but this is a very tiny issue. Apart from that, the tool is serving it's purpose ;-)

**What problems is Atlan solving and how is that benefiting you?**

Metadata of all of our data assets in one place (S3, Tableau, Redshift, Snowflake, BigQuery)
Making our data assets discoverable (simple and broad search capabilities — to be able to find relevant data quickly across all of our assets, along with their context)
Enable collaboration and trust (gather tribal knowledge of various teams in one place)
Reduce dependencies between business, analysts, and engineers (giving everyone easy access to documentation and the ability to find data-related answers on their own)
Ability to show where the data comes from (visual lineage of dependencies between the data objects and how the data flows throughout the organization)



- [View Atlan pricing details and edition comparison](https://www.g2.com/products/atlan/reviews?filters%5Bnps_score%5D%5B%5D=5&section=pricing&secure%5Bexpires_at%5D=2026-08-13+12%3A51%3A50+-0500&secure%5Bsession_id%5D=3857a120-ab0b-493e-8e5c-bd62de81e704&secure%5Btoken%5D=ae1468b59c1a6c9f314737a8a9bd7d7878c5cd07d6f6b9af49f19de32a905d23&format=llm_user)
## Atlan Integrations
  - [Azure Data Factory](https://www.g2.com/products/azure-data-factory/reviews)
  - [Databricks](https://www.g2.com/products/databricks/reviews)
  - [dbt](https://www.g2.com/products/dbt/reviews)
  - [Fivetran](https://www.g2.com/products/fivetran/reviews)
  - [Immuta](https://www.g2.com/products/immuta/reviews)
  - [Jira](https://www.g2.com/products/jira/reviews)
  - [Maia](https://www.g2.com/products/matillion-maia/reviews)
  - [Microsoft Power BI](https://www.g2.com/products/microsoft-microsoft-power-bi/reviews)
  - [Microsoft SQL Server](https://www.g2.com/products/microsoft-sql-server/reviews)
  - [Monte Carlo](https://www.g2.com/products/monte-carlo/reviews)
  - [SAP Datasphere](https://www.g2.com/products/sap-datasphere/reviews)
  - [ServiceNow App Engine](https://www.g2.com/products/servicenow-app-engine/reviews)
  - [ServiceNow IT Service Management](https://www.g2.com/products/servicenow-it-service-management/reviews)
  - [Slack](https://www.g2.com/products/slack/reviews)
  - [Snowflake](https://www.g2.com/products/snowflake/reviews)
  - [Tableau](https://www.g2.com/products/tableau/reviews)
  - [ThoughtSpot](https://www.g2.com/products/thoughtspot/reviews)

## Atlan Features
**Data Governance**
- User Access Management
- Dynamic Data Masking
- Data Lineage
- Workflow Management

**Administration**
- Data Modelling
- Recommendations
- Workflow Management
- Dashboards and Visualizations
- Configurable Workflow
- Rules-Based Workflow

**Data Management**
- Data Integration
- Data Discovery
- Multi - Platform
- Metadata

**Management**
- Business Glossary
- Data Discovery
- Data Profililng
- Reporting and Visualization
- Data Lineage
- Data Visualization

**Data Management**
- Data Integration
- Metadata
- Self-service
- Automated workflows

**Data management**
- Metadata Management
- Automation Features
- Collaboration
- Data Lineage
- Data Discovery

**Agentic AI - DataOps Platforms**
- Autonomous Task Execution
- Multi-step Planning
- Cross-system Integration
- Adaptive Learning
- Decision Making

**Data Preparation**
- Search
- Data Quality and Cleansing
- Data Transformation
- Data Modeling

**Compliance**
- Sensitive Data Compliance
- Training and Guidelines
- Policy Enforcement
- Compliance Monitoring
- Real-Time Monitoring

**Analytics**
- Data Analytics

**Security**
- Access Control
- Roles Management
- Compliance Management
- Deletion Management
- Access Controls/Permissions
- User Management
- Process Management
- Audit Management
- Metadata Management

**Analytics**
- Analytics capabilities
- Dasboard visualizations

**Reporting**
- Intelligent Insights
- Actionable Insights
- Dashboards

**Collaboration**
- Commenting
- Profiling and Classification
- Business and Data Glossary
- Metadata Management 
- Master Data Management
- Data Storage Management
- Data Management

**Data Quality**
- Data Preparation
- Data Distribution
- Data Unification

**Security**
- Compliance
- Governance
- Data Protection

**Maintainence**
- Data Quality Management
- Policy Management
- Data Storage Management

**Monitoring and Management**
- Data Observability
- Testing capabilities

**Generative AI**
- AI Text Generation
- AI Text Summarization

**Additional Functionality**
- Metadata Management
- Data Lineage
- Data Discovery
- Data Governance
- Data Aggregation
- Compliance Management
- Search/Filter
- AI Copilot
- Data Migration
- Configurable Workflow
- Workflow Management
- Archiving & Retention
- Policy Metadata Management
- Tagging
- Third-Party Integrations
- Big Data Analytics
- Data Security
- Metadata Extraction
- Data Integration
- Dashboard
- Generative AI
- Data Catalog
- Data Profiling
- Data Connectors
- Data Visualization
- Reporting/Analytics
- Data Glossary
- Data Quality Control
- Data Management
- Data Sampling
- Data Modeling
- Data Mapping
- Data Dictionary Management
- Secure Data Storage
- Version Control
- Document Database
- Access Control

**Functionality**
- Identification
- Correction
- Normalization
- Preventative Cleaning
- Data Matching
- Real-Time Data

**Cloud Deployment**
- Hybrid cloud support
- Cloud migration capabilities

**Generative AI**
- AI Text Generation
- AI Text Summarization

**Generative AI**
- AI Text Generation
- AI Text Summarization
- Generative AI

**Management**
- Reporting
- Automation
- Quality Audits
- Dashboard
- Governance

**Generative AI**
- AI Text Generation
- AI Text Summarization
- Generative AI

**Generative AI**
- AI Text Generation
- AI Text Summarization

**Agentic AI - Data Governance**
- Autonomous Task Execution
- Multi-step Planning
- Cross-system Integration
- Adaptive Learning
- Natural Language Interaction
- Decision Making
- Third-Party Integrations
- Active Directory Integration

**Agentic AI - Data Fabric**
- Autonomous Task Execution
- Multi-step Planning
- Cross-system Integration
- Adaptive Learning
- Decision Making

**Additional Functionality**
- AI Copilot
- Reporting & Statistics
- Data Migration
- Archiving & Retention
- Data Capture and Transfer
- Audit Trail
- Data Synchronization
- Single Sign On
- Customizable Reports
- Data Profiling
- Authentication
- Role-Based Permissions
- Tagging
- Secure Data Storage
- Data Security
- HIPAA Compliant
- SSL Security
- Risk Assessment
- Data Mapping
- Search/Filter
- Self Service Portal
- Multiple Data Sources
- Document Storage
- API
- Activity Tracking
- Automatic Backup
- Visual Analytics

**Generative AI**
- AI Text Generation
- AI Text Summarization
- Generative AI

**Agentic AI - Machine Learning Data Catalog**
- Autonomous Task Execution
- Multi-step Planning
- Cross-system Integration
- Adaptive Learning
- Decision Making
- Third-Party Integrations

**Additional Functionality**
- Metadata Extraction
- Automatic Backup
- Search/Filter
- Collaboration Tools
- Activity Tracking
- Authentication
- Data Security
- Data Mapping
- Archiving & Retention
- Data Discovery
- Data Catalog
- Multiple Data Sources
- Categorization/Grouping
- AI Copilot
- Reporting/Analytics
- Tagging
- Drag & Drop
- Activity Dashboard
- Role-Based Permissions
- Single Sign On
- Data Governance
- Content Library
- Data Synchronization
- Data Import/Export
- Access Controls/Permissions
- Data Visualization
- API

**Additional Functionality**
- Metadata Management
- Collaboration Tools
- Search/Filter
- Workflow Management
- AI Copilot
- Third-Party Integrations
- Data Synchronization
- Data Import/Export
- Customizable Rules
- Master Data Management
- Monitoring
- Data Transformation
- Multiple Data Sources
- Self Service Portal
- Customer Database
- Data Verification
- Data Migration
- Multi-Language
- Single Sign On
- Duplicate Detection
- Email Address Extraction
- Reporting/Analytics
- Data Profiling
- Data Extraction
- Data Mapping
- Address Validation
- Match & Merge
- Performance Metrics
- Visual Analytics
- Version Control
- API
- Data Capture and Transfer
- Access Controls/Permissions
- Compliance Management
- Data Discovery

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