Streamlined metadata workflows have saved time and now support faster data-driven decisions
What is our primary use case?
My main use case for Atlan is that it is very easy and integrable with other data sources, which is very convenient and time saving. By switching to Atlan, we have increased our productivity and saved a lot of business time. Our team, whether technical or non-technical, adapted to Atlan very quickly because of its simple user interface.
A quick, specific example of how my team uses Atlan day-to-day is that we introduce some new technologies in our system and every time integrating those tools or technologies with Atlan is much easier and smoother.
My team uses Atlan to define a flexible set of metadata, including measuring the quality of said data. Atlan is also a partner of ours, so we use it to integrate with our own tools. It also enables the team to automate manual and high-risk tasks and to make them error-free as much as possible.
What is most valuable?
The best features Atlan offers are that it is very easy to extract and modify data. We can perform very quick and smooth integration. Its open-source framework provides extension and capability to the API it uses. It has a user-friendly interface, easy access to data, data tables, and a lineage feature.
Atlan provides extensive and seamless integrations, a ton of automation, and an extremely user-friendly and intuitive interface to navigate.
Atlan has impacted my organization positively because it has been very helpful. Atlan has certainly saved time and money by consolidating our metadata sets. Integration with Amazon and Tableau have definitely sped up our time to value.
We have been able to save time and money by consolidating our data by at least 45%.
What needs improvement?
Atlan can be improved because API documentation could be enhanced.
I wish the support team could be quicker in their response time.
The reason why I rated it a nine is that it has improved our compliance and risk management. What could have made it a perfect ten for me is if it had improved API documentation and if the support could be much quicker in their response time. It is also very easy to adopt and has good pricing.
For how long have I used the solution?
I have been using Atlan for about six years.
What other advice do I have?
My advice to others looking into using Atlan is that it is a well-suited tool because it is very cost-effective and easy to use. It also has robust functionality for the quality management of metadata sets. The most helpful thing here is all the dashboards that provide visibility in one place. In my experience, it might be less suited for collaboration across teams.
Atlan is very easy to use, and anyone could pick it up relatively quickly. I rated this product a nine out of ten.
Which deployment model are you using for this solution?
Hybrid Cloud
If public cloud, private cloud, or hybrid cloud, which cloud provider do you use?
Automation has transformed data quality workflows and now saves significant time and cost
What is our primary use case?
My main use case for Atlan is to define a flexible set of metadata, including measuring the quality of said data. Atlan is also a partner of ours, so we use it to integrate with our own tool. It also enables our team to automate manual and high-risk tasks to make them error-free as much as possible and save time. In terms of scope, I only know that our Sales, CSM, and CX teams use it for similar uses. Our business may use it to a larger scope than that in the future.
What is most valuable?
A quick specific example of how our team uses Atlan to automate a manual or high-risk task is the robust functionality for the quality management of metadata sets. The most helpful thing here is all the dashboards that provide visibility in one place. We use this tool because it is very easy and integrable with other data sources, which is very convenient and time-saving. By switching to Atlan, we have increased our productivity and saved a lot of business time through automation. My team, whether technical or non-technical, adapted Atlan very quickly because of its simple and intuitive user interface.
The best features Atlan offers include the ease to extract and modify the data. We can do very quick and smooth integration. It is an open-source framework that provides extension capability to the APIs it uses.
Tons of automation help to automate tedious and time-consuming tasks, thereby reducing error and saving time and cost. It is extremely user-friendly and intuitive to navigate, especially the user interface.
Atlan has positively impacted my organization by saving time and money while consolidating our metadata sets. Integration with Amazon and Tableau have definitely sped up our time to value.
We have saved fifty-five percent of our time through the automation of tedious and time-consuming tasks. Extraction of data is easy. In this data catalog solution, data modification is really simple and easy. Integration with other software is very seamless and easy, thereby simplifying our workflow.
Atlan is very scalable and helps to grow our organization while catering to our needs.
It enables the team to automate manual and high-risk tasks to make them error-free as much as possible and save time and cost. It is a very cost-effective tool that should be highly adaptable and usable in any organization.
What needs improvement?
Atlan can be improved by enhancing their support process by reducing the resolution time.
They have really bad and incomplete documentation, so they should work on the documentation as well, especially to help new users who are onboarding to make their process more intuitive and smooth.
For how long have I used the solution?
I have been using Atlan for five years.
What do I think about the stability of the solution?
Atlan is stable; I have not experienced any downtime.
What do I think about the scalability of the solution?
Atlan is very scalable and helps our organization to grow while catering to our needs.
How are customer service and support?
Customer support for Atlan is not so proactive. They should improve their proactiveness to be more proactive and responsive.
How would you rate customer service and support?
Which solution did I use previously and why did I switch?
Previously, I used Informatica, specifically Informatica Application ILM.
I decided to switch from Informatica to Atlan because the other tools were solid. We ultimately ended up going with Atlan for this reason: it improved our compliance and risk management. It is easy to adopt and has good pricing. It seemed to have the most robust functionality, especially in terms of integration. It is easy to use, anyone could pick it up relatively quickly, and the cost was affordable.
How was the initial setup?
We purchased Atlan through the AWS Marketplace.
What was our ROI?
Atlan has certainly saved time and money by consolidating our metadata sets.
What's my experience with pricing, setup cost, and licensing?
My experience with pricing, setup cost, and licensing is that the licensing cost is a bit flexible but not affordable for smaller organizations. It might be way out of their budget, but it is very affordable for medium and large enterprises.
Which other solutions did I evaluate?
Before choosing Atlan, I evaluated Talend Data Catalog.
What other advice do I have?
Day-to-day, we introduce some new technologies in our system, and every time we integrate those tools with Atlan, it is way easier and smoother. I would rate this review as a nine out of ten.
Which deployment model are you using for this solution?
Public Cloud
If public cloud, private cloud, or hybrid cloud, which cloud provider do you use?
Exceptional Data Discovery, Data Governance, and Data Quality With Atlan
What do you like best about the product?
Atlan comes with great data discovery features and it ensures smooth data collaboration.
With the tool, finding, sharing and understanding data is always easy.
I like how easy Atlan makes it to maintain data quality and governance.
It comes with amazing machine learning features and amazing data AI features.
I like that Atlan supports modern data architecture.
What do you dislike about the product?
No flaws to report considering Atlan has met our needs more so in data governance and data quality.
What problems is the product solving and how is that benefiting you?
Atlan has been very helpful in maintaining data quality and handling data governance thanks to the amazing AI features and machine learning.
Improved data discovery has reduced redundant ingestion and now supports governed asset management
What is our primary use case?
Atlan is used as a data catalog and a data governance tool. The primary idea for implementing Atlan for data cataloging in day-to-day work was to create a business data catalog to support asset discovery and management.
What is most valuable?
Atlan offers excellent features including support for many different active metadata, such as lineage, which allows visibility into how an asset has been generated.
Active metadata and lineage features help quickly understand if an asset already exists, who the data steward is for that asset, and provide complete visibility on available fields and other technical aspects regarding the asset.
Atlan has positively impacted the organization since it helps in discovering already available assets, allowing for reduction of redundant ingestion of external data and reduction of time to market for any project.
What needs improvement?
Atlan can be improved by integrating agents that can support users in finding assets of interest.
For how long have I used the solution?
Atlan has been used for one and a half years.
What other advice do I have?
I rate Atlan overall a nine out of ten. I choose nine out of ten because even though Atlan is a very good product, it can be further improved. For others looking for a very complete data catalog tool with many features that can support data discovery, lineage, and more, I suggest choosing Atlan.
Which deployment model are you using for this solution?
Private Cloud
If public cloud, private cloud, or hybrid cloud, which cloud provider do you use?
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.
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.
Integration with communication platforms streamlines data access
What is our primary use case?
We are a consulting company, and we propose Atlan as one of the tools in the market. We inform clients that if they are considering a data catalog, they can also consider Atlan. We evaluate it for them, determining whether it would make sense for their organization.
What is most valuable?
The best feature of Atlan is its integration with communication platforms like Microsoft Teams and Slack, so business users don't have to go into a data catalog to see metadata about data assets. This integration feature is the coolest thing about Atlan. The ML capabilities that suggest data classifications and provide data descriptions are also impressive.
What needs improvement?
One of the main areas for improvement is its governance capabilities. Atlan supports only basic out-of-the-box workflows, and it becomes challenging to customize features like how data owners should approve access to data assets. Its performance is not optimal when dealing with larger datasets, particularly legacy data assets, as the performance declines when scanning datasets running in terabytes.
For how long have I used the solution?
I have done a couple of POCs using Atlan while working for a company. We were evaluating a few data catalogs, and we included Atlan as one of the prospects.
What do I think about the stability of the solution?
During our POC, the recently launched ML classification system was a hit-and-miss. However, the support team acknowledged it and since then, the feedback from various users indicates that the issues have been resolved, and it's now working well.
What do I think about the scalability of the solution?
Atlan integrates well with smaller datasets, making it suitable for agile companies. However, it struggles with performance when dealing with larger datasets, particularly those running in terabytes.
How are customer service and support?
During the POC, we had a dedicated account executive, and we received good support from them. They helped us navigate our challenges and brought in technical resources whenever required. There were instances when responses took longer than expected, but this could be attributed to us not being a full-time paid customer at that time.
How would you rate customer service and support?
How was the initial setup?
If implementing the cloud instance, the setup is straightforward and simpler than other tools I have experienced. However, placing it on-premises requires support from data engineering or technical associates.
What's my experience with pricing, setup cost, and licensing?
In comparison to established players like Collibra and Informatica, Atlan is cheaper. However, compared to the next generation of data catalogs like Castor, Atlan is pricier. For mid-sized organizations, Atlan provides a good pricing fit.
Which other solutions did I evaluate?
We evaluated Atlan alongside other data catalogs when working for a company.
What other advice do I have?
Atlan is an eight out of ten, primarily due to its need for improved governance features. If these features are enhanced, it is a ten on ten tool.
Atlan has unique ML/AI capabilities that aid engineering teams in documenting without having to start from scratch.
Additionally, its integration with communication platforms helps users understand context without accessing the data catalog directly.
Enhanced data management with intuitive data lineage and metadata visualization
What is our primary use case?
One of the primary use cases of Atlan is as an enterprise data catalog. It takes metadata from multiple types of source systems, such as Tableau and Google BigQuery. The platform helps surface everything into a unified data dictionary and data catalog.
How has it helped my organization?
From a business user's perspective, Atlan has reduced the need to bother subject matter experts by surfacing all data and context. It has significantly reduced instances of business users contacting technical SMEs with questions about data content, providing time savings from a human hours perspective.
What is most valuable?
As a senior analytics engineer, Atlan's ability to show end-to-end data lineage is the most important feature for me. It graphically displays the entire data flow, allowing me to understand the flow from source systems to Tableau, including the ability to see SQL scripts behind it and usage metrics. Its capability to automatically pull data descriptions and assign ownership are also noteworthy.
What needs improvement?
Certain UI changes could make Atlan more user-friendly. While they have an Excel add-in for interaction with Atlan, it's in its early stages and could be improved. Additionally, data observability capabilities could be enhanced to provide more alerts on stale or outdated data via communication tools like Microsoft Teams, Slack, or email.
For how long have I used the solution?
I have been using Atlan for almost a year now.
What do I think about the stability of the solution?
Generally, I find Atlan stable. There have been instances where new features temporarily degraded performance. They were quickly optimized by Atlan's engineering team.
What do I think about the scalability of the solution?
There have been no notable scalability issues with Atlan. Its cloud-native backend infrastructure is designed to scale and may require human intervention occasionally, but it handles scalability well.
How are customer service and support?
The customer service and support are pretty good. Any issues are addressed promptly by Atlan's team.
How would you rate customer service and support?
Which solution did I use previously and why did I switch?
We looked at Google Cloud Platform's Dataplex. It wasn't fit for purpose because we needed an active metadata platform that could provide comprehensive data discovery and data dictionaries.
How was the initial setup?
The initial setup of Atlan was conducted as a minimum viable product, starting with basic capabilities and building up. From the user's perspective, it involved training a small community of super users to promote adoption.
What about the implementation team?
The implementation of Atlan required less than five people from different teams, mainly technical personnel.
What was our ROI?
It's difficult to quantify ROI at the moment due to our immature use of Atlan, however, it has reduced interruptions for technical queries significantly.
What's my experience with pricing, setup cost, and licensing?
The pricing model for Atlan is reasonable compared to other cloud-based platforms. There are different license levels, and we receive a discount on the unit price, making it very competitive.
Which other solutions did I evaluate?
We evaluated Google Cloud Platform's Dataplex, among other tools, yet chose Atlan for its comprehensive capabilities in data lineage and metadata management.
What other advice do I have?
I would recommend dedicated resources from the beginning, including a product manager, as it facilitates better planning and adoption of the solution.
Overall, I rate Atlan a nine out of ten. They continue to innovate and listen to customer feedback.
One of a kind player in the data space!
What do you like best about the product?
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 the product?
Looking for more customization for the different kinds of data practitioners
What problems is the product solving and how is that benefiting you?
- Ease of discoverability, reducing time to implementation
- Collaborating with various other data practitioners.
- Communicating and defining lineage
