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Next Generation Data Governance
What do you like best about the product?
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 the product?
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.
Additionally the text editing in the Glossary is extremely basic and needs simple functions like Undo added.
What problems is the product 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.
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Atlan as the ideal interactive business metric catalog product
What do you like best about the product?
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.
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 the product?
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 the product 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.)
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.
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.
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