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Atlan G2 Review
What do you like best about the product?
The ease of use for creating glossaries, terms, tags & certs is awesome. It doesn't take a lot of clicks to find information and to relate data to specific topics.
What do you dislike about the product?
At the moment, the "welcome" page is not customizable. It would be great if we were able to customize this to how our company communicates
What problems is the product solving and how is that benefiting you?
We currently have information about data in several places (confluence, jira, slack, google apps, etc) by allowing the original documents to be linked from their places of origin onto the data assets; this gives freedom to continue to update the original documents but also provide a one-stop source to all related information.
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Fantastic Data Catalog for Data Operations centric organizations
What do you like best about the product?
Atlan's ease of use and configuration certainly helped us get started quickly and make an impact to our data ops-heavy organizations.
What do you dislike about the product?
There are some minor quirks to the UI, but the support team are interested in all user feedback and have made changes quick based on our input.
What problems is the product solving and how is that benefiting you?
Centralized data discovery and governance
Data Cataloging and discoverability made easier
What do you like best about the product?
Indepth Lineage and Chrome Extension for Lookerare key to data discoverability for our huge data pipelines
What do you dislike about the product?
Search doesnot let me lookup an asset which should include the combination of data points I am looking at.
What problems is the product solving and how is that benefiting you?
one place data dictionary and cataloging for all my assets
Atlan has been helpful and insightful as a data cataloging platform.
What do you like best about the product?
I love the lineage feature of Atlan the most. Like that, the tool asks for data owners and connects with Jira and Slack to make it a seamless experience.
What do you dislike about the product?
I feel like searching terms in Altan does not give the best request. Also I found setting up personas and roles was not very easy to understand.
What problems is the product solving and how is that benefiting you?
Atlan is our central repository for data definitions and we are able to access it right into our reporting tool Looker. This is very useful and best use case for our end users.
Incredible tool for data-curious users
What do you like best about the product?
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 the product?
Nothing - even when I have had issues in the past, Atlan's team would work to resolve them quickly.
What problems is the product 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.
Streamline the Metadata Management: Unlocking Efficiency and Accuracy
What do you like best about the product?
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.
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 the product?
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.
2) Learning Curve: It might take some time for users to become proficient in navigating and utilizing all the functionalities effectively.
What problems is the product 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.
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.
Catalysts for metadata evangelism
What do you like best about the product?
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.
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 the product?
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.
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 the product solving and how is that benefiting you?
Integrating data discovery capability with associated platform capabilities for Data Quality, Metadata Capture, User Access among others.
Easy to use and implement
What do you like best about the product?
The platform is user-friendly and seamlessly integrates with our current application ecosystem. It also minimizes the amount of time our dev team needs to comprehend the context of their data resources.
What do you dislike about the product?
I think they can work on improving the website's speed but it's a super helpful tool anyway and does what it says. Nothing much to dislike about Atlan.
What problems is the product solving and how is that benefiting you?
Atlan facilitated the democratization of our data, enabling us to distribute it across the organization. Numerous requests from various business teams are received by our data team. With the aid of Atlan, we empowered them to attain data independence by granting access to the data.
Atlan is a modern data catalog that perfectly aligned with our vision of data governance
What do you like best about the product?
The product is excellent, and Atlan is always looking for improvement by hearing customer feedback.
What do you dislike about the product?
Sometimes the platform can be slow when you are navigating a lot.
What problems is the product solving and how is that benefiting you?
We use Atlan to centralize our metadata and generate context about company-relevant data assets. This allows collaboration between data consumers and data owners.
Atlan has been a great asset for our data teams
What do you like best about the product?
1. Ease of use
2. Data Lineage
3. Integrations with the products we use today
2. Data Lineage
3. Integrations with the products we use today
What do you dislike about the product?
Setup for on-premise data sources can be a challenge.
The classification propagation has been a challenge, but is improving.
The classification propagation has been a challenge, but is improving.
What problems is the product solving and how is that benefiting you?
Data Discovery and democratization
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