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Metadata Management
What do you like best about the product?
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 the product?
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 the product 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
- 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
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A partner we can trust to reduce friction points between data consumers and producers
What do you like best about the product?
Atlan is easy to get up and connected to several critical sources right out of the gate. In addition, we have found the usability of the frontend 2nd to none as several users have had no issues getting into the tool and finding value.
What do you dislike about the product?
Currently Atlan does not integrate with some of the tool we require such at Quicksight but we know they are working towards resolving this. In addition, as there are multiple ways to accomplish the same thing it is not always clear which is the best practice so having a bit more clarity on things like that would be great
What problems is the product solving and how is that benefiting you?
Our biggest challenge is providing our data consumers with good contextual information about the data available to them. Beyond that, having a place our end users can easily build, execute, and share their own queries is proving powerful.
Very supportive team, great usability, meets our needs
What do you like best about the product?
The Atlan UI is easy for my new users to perform governance tasks with little training. You do not need a big team to implement and manage Atlan.
The customer success team is incredibly present and passionate about helping us meet our goals. They feel like coworkers.
The customer success team is incredibly present and passionate about helping us meet our goals. They feel like coworkers.
What do you dislike about the product?
Migration to the upgraded version was a little bumpy, but now that we're on it, we're fine.
I would love to be able to unnest BigQuery fields, which is on their roadmap.
I would love to be able to unnest BigQuery fields, which is on their roadmap.
What problems is the product solving and how is that benefiting you?
The business glossary and documenting BI assets are our key use cases. We are very heavy users of the glossary - it's our source of truth for enterprise definitions and SME knowledge on data assets. This saves time and ensures data consumers are getting what they think they are - a big step forwards for data literacy. We've now expanded from having a centralized team documenting BI assets to enabling all self-serve reporting creators to do so. This helps make everyone accountable for presenting data with the appropriate context.
Atlan makes us more confident with our data
What do you like best about the product?
Atlan helps us identify our critical data and reduce the time spent on less important topics or tasks.
What do you dislike about the product?
The more challenging part for any data catalog is democratizing its use across your organization, and, in our case, Atlan being available only in English is making this part slower.
What problems is the product solving and how is that benefiting you?
We are using Atlan to solve multiple problems.
It helps us identify all data assets across our organization, who/what generates them, who/what consumes them, etc...
It is now our source of truth regarding our business glossary and ensures we all talk the same language.
It also helps us identify "pipelines" issues/delays and informs us so we can proactively resolves them.
It helps us identify all data assets across our organization, who/what generates them, who/what consumes them, etc...
It is now our source of truth regarding our business glossary and ensures we all talk the same language.
It also helps us identify "pipelines" issues/delays and informs us so we can proactively resolves them.
Atlan was very involved in our implementation & continues to support adoption of the tool
What do you like best about the product?
They are different from other vendors who are mainly interested in the sale. Atlan has been with us every step of the way during the initial implementation & continues to proactively support us with adoption of the tool as well.
What do you dislike about the product?
Atlan is still building out some of the capabilities that tools that have been around for a long time already have, but they are ready to take on our inputs & prioritise our needs.
What problems is the product solving and how is that benefiting you?
Knowing where the data is located, who owns & uses it, know its meaning & its classification
Review from Tokyo Electron Limited - Leah QI
What do you like best about the product?
My primary contact Geoff Warren, I love his working ethic and his passion for Atlan; you can hear it through his voice. The stuff I love about Atlan is you can take it anywhere, whether during the requirement gathering section or after completing a BI product and wanting to show End User(s) what they are; it is super interactive.
What do you dislike about the product?
The Glossary & Assets, I see them overlapping each other. Maybe we need to develop a Metric section rather than Glossary Page. This Metric section is just focusing on collecting metrics. How I look at it,
1. Raw Data -> Data Models -> Calculated Fields -> Measures (Assets)
2. Metrics/KPIs
1. Raw Data -> Data Models -> Calculated Fields -> Measures (Assets)
2. Metrics/KPIs
What problems is the product solving and how is that benefiting you?
1. Atlan allows me to update and maintain live documentation as quickly as possible, so I don't have to develop detailed static documentation in .pdf format each time I push out data models in snowflake.
2. I can see table ERDs/Lineage between tables, which is a massive helper as I develop data models in Snowflake.
3. Atlan provides a place of comfort for my end user(s), they can trace my work and able to identify which feature within the data model is verified and which one is not.
2. I can see table ERDs/Lineage between tables, which is a massive helper as I develop data models in Snowflake.
3. Atlan provides a place of comfort for my end user(s), they can trace my work and able to identify which feature within the data model is verified and which one is not.
Modern data catalog that is constantly improving
What do you like best about the product?
Constant product improvements; User friendly UI; Responsive support; Being treated as partner rather than customer; Product documentation
What do you dislike about the product?
Only minor bugs; nothing else comes to mind
What problems is the product solving and how is that benefiting you?
Discoverability: helps us quickly find the data our data users need by providing a centralized, searchable catalog with great UI.
Collaboration: enables teams to collaborate more effectively via Slack and JIRA extensions
Data Lineage: helps users understand the lineage of their data by showing how data flows through the organization and how it is transformed
Metrics glossary: helps to compile and document list of all company metrics in one place and link them to data sources
Collaboration: enables teams to collaborate more effectively via Slack and JIRA extensions
Data Lineage: helps users understand the lineage of their data by showing how data flows through the organization and how it is transformed
Metrics glossary: helps to compile and document list of all company metrics in one place and link them to data sources
Atlan is a great tool to own
What do you like best about the product?
The thing I like the most about Atlan is its support. The customer service is quick, helping our users whenever needed and considering our feedback to develop new features. We solved a lot of issues through the support channels. That makes the life of the tool admin really easy and the end user gets a smooth experience.
What do you dislike about the product?
Not being able to crawl Sisense Periscope is a big feature that is missing. It's unfortunate that this wasn't implemented for Atlan 2.0 as we have a lot of knowledge from our team over there.
What problems is the product solving and how is that benefiting you?
It consolidates metadata from different databases making the search for metadata much easier. It tracks ownership, it allows for highlighting table status. We also use it to consolidate KPIs and to share queries
Lot's of fun!
What do you like best about the product?
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
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 the product?
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 the product 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)
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)
Everything you need around Data Governance
What do you like best about the product?
It has a lot of different features and every feature is super useful. What the greatest aspact is, is their service. They have very custom and quick support and I would definitly recommend Atlan! The masterclasses and tips & tricks are also super useful.
What do you dislike about the product?
I don't dislike anything. What could improve a bit more is the stability of new features. Since development is quite fast sometimes features could use a bit more time to test without bugs. BUT, I would rather have the new features fast (like now) then a 100% perfect :)
What problems is the product solving and how is that benefiting you?
It creates a central place to manage all of your Metadata. Atlan helps us improve Data Governance (especially with the Glossary and Lineage), increases Data Awareness and increases Data Adoption (especially with the Insights tool and the option to add owners to assets).
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