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Transforms Data Collaboration with Ease and Efficiency
What do you like best about the product?
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 the product?
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 the product 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.
Magically Boosts Productivity and Workflow
What do you like best about the product?
It significantly enhances productivity, streamlines workflow, and makes implementation across the business remarkably easy, almost like magic!
What do you dislike about the product?
The customer support isn't particularly impressive, but it is still an improvement over what I've experienced with other competitors.
What problems is the product 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.
Gratitude towards Atlan
What do you like best about the product?
Its user friendly data catalog and it is very supportive and collaborative.
What do you dislike about the product?
Limited customization for UI components.
What problems is the product solving and how is that benefiting you?
Ensuring good quality data.
Atlan _review
What do you like best about the product?
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 the product?
The AI capabilities are limited, and the automation feels quite rigid. Additionally, it lacks features for managing tasks across multiple teams.
What problems is the product 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.
Powerful platform for data engineers, but lacking intuitiveness for business users
What do you like best about the product?
- Standardized data contracts using YAML templates
- Compatibility with open source frameworks like Apache Spark, Airflow
- Great technical catalog for data engineers
- Lineage packages and libraries
- Compatibility with open source frameworks like Apache Spark, Airflow
- Great technical catalog for data engineers
- Lineage packages and libraries
What do you dislike about the product?
- Not user friendly for line of business users
- UI / UX was perceived to be too technical
- Great technical catalog but doesn't cover business governance requirements like CDEs
- UI / UX was perceived to be too technical
- Great technical catalog but doesn't cover business governance requirements like CDEs
What problems is the product solving and how is that benefiting you?
- Data Lineage Tracking
- DataOps Monitoring
- Data Contracts Enforcement
- DataOps Monitoring
- Data Contracts Enforcement
Atlan for modern data management
What do you like best about the product?
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.
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 the product?
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 the product 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.
Using Atlan for Data tagging/Classification
What do you like best about the product?
The ability to apply definitions and tags for almost any data asset is useful, especially the feature to attach existing documentation as a resource. Great search feature, and ability to propagate tags downstream from objects.
What do you dislike about the product?
The UI is sometimes difficult to navigate, and there are some screens that may be more suitable to view as a table. There's also sometimes a steep learning curve to go from basic read-only use (or single asset management), to enabling mass-tagging/documentation efforts.
What problems is the product solving and how is that benefiting you?
Atlan is supporting our initiative to tag and classify all sensitive data in our source system and downstream applications. Being able to propagate tags and view lineage has been really useful.
Democratizing Data: How Atlan Encourages Organization-Wide Collaboration
What do you like best about the product?
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 the product?
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 the product 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.
Easy, Breezy, Data Governance
What do you like best about the product?
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.
•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 the product?
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 the product 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.
In general the experience is good in usability and could be improved in technical support
What do you like best about the product?
Its UX and its deployment added its data lineage and the easy integration with multiples sources.
What do you dislike about the product?
Its technical supports is to slow in the resolution and sometimes not very accurate
What problems is the product solving and how is that benefiting you?
Its resolve the data catalog and data lineage by organizin the company to self service information.
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