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.
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.
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.
Streamlined data discovery with cohesive glossary and lineage tracking
What is our primary use case?
We use Atlan as a data discovery tool for data assets in our organization. It is particularly valuable for its ability to serve as a business glossary and a metrics glossary.
Additionally, it helps in lineage tracking to find data sources and overall dataset schema and is used extensively for data quality checks.
What is most valuable?
Atlan is helpful for identifying datasets and discovering PI data, such as the classification levels of datasets (gold, silver, bronze). The tool facilitates easy navigation by keeping descriptions and source information in one place. It supports data glossary terms, which helps with understanding business terms.
What needs improvement?
One area that could be improved is the capability to find duplicates of datasets. This would allow users to identify and consolidate similar datasets, having one point of access for consistent data.
For how long have I used the solution?
I have been working with Atlan for about a year and a half.
What do I think about the stability of the solution?
Atlan is quite stable. I have never seen it crash, and it has always been available to meet our needs. This consistent availability ensures we can find the right dataset when needed.
What do I think about the scalability of the solution?
Regarding scalability, recent updates in Atlan have included data contracts and specification levels for datasets. The company has a good relationship with Atlan, which regularly visits our office to understand our needs. As a result, I would rate the scalability as nine.
How are customer service and support?
I have never spoken to technical support, as I have not experienced any issues that required their assistance.
How would you rate customer service and support?
Which solution did I use previously and why did I switch?
I am not aware of any previous solutions the organization used before Atlan.
What was our ROI?
It's challenging for me to comment on the ROI since I am just a user of Atlan and do not have visibility into metrics or financial improvements.
What's my experience with pricing, setup cost, and licensing?
I am not aware of the pricing or setup cost.
Which other solutions did I evaluate?
I am not aware of any other solutions that were evaluated.
What other advice do I have?
Overall, I rate Atlan as a ten out of ten. It is an excellent solution for data discovery and glossary needs. I suggest improving duplication detection for datasets as an enhancement.
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.
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.
Atlan - Modern Data Governance platform
What do you like best about the product?
Atlan is modern, scalable, easy-to-use platform able to seamlesly integrate with majority of technologies within our organization, create a complete catalog on top of a complex environment and surface lineages and dependencies between various databases.
What do you dislike about the product?
Integrations with non-native cloud and on-prem databases requires additional infrastructure and networking setup.
What problems is the product solving and how is that benefiting you?
Atlan is helping our organization with the following:
- Data Catalog - An ability to surface catalog of Data Warehouse, Transactional Databases and Data Pipelines in a highly complex environment
- Data Quality and Ownership - Ability to pinpoint critical data and its impact to our clients
- Business Glossary - A single source of truth for all things data
Enabling our teams through better data access and visibility
What do you like best about the product?
The best benefit of Atlan was the functionality for both front end users and our data engineering teams. Providing a common data glossary location tied directly with the data assets enabled us to make data more available and accessible to all data consuming teams. The flexibility in providing an area for data quality metrics to be visible right alongside each key dataset also provides next level confidence to our teams that the data they're accessing is accurate, complete, reliable, relevant, and timely.
Integration with our data platform was straightforward and ensuring all our data sources and reporting applications are all connected quick and effective. Any issues we had were resolved quickly with the customer success team and it's great to have regular check ins with them to learn of the new features on the product roadmap.
What do you dislike about the product?
The most difficult part is taking advantage of all the features. There is a lot it can do with Atlan and it will take time to implement. It's not a bad thing, it's just that you need to be aware of the extra time and resource required to make it as effective as it can be for your organisation.
What problems is the product solving and how is that benefiting you?
The main purpose of Atlan is bringing our data together in an easily searchable way for our data consuming teams. Secondly is about ensuring our data engineering team is always the first to know of any data issues and data quality tests will reflect in Atlan to ensure our staff always know the quality of the data they need to use.
Using Atlan to enhance data governance and data visibility
What do you like best about the product?
It is user friendly and allows users to easily view a shopping window of all things data related in our eco-system, from raw data to managed data assets and reports, along with enriched meta data explaining what the data asset is, what is comprises of, and how its been built.
What do you dislike about the product?
That it does not yet have a google dataform connector :)
What problems is the product solving and how is that benefiting you?
Allowing a single pane of glass to view all of our data assets and how they are built in a simple and easy to understand tool for end users. Allowing users to answer questions for themselves and to see whats available without intervention from the data team. It also allows lineage level tracking for the technical teams and allows a platform for all data documentation instead of it living on a wiki that few know about
Exceptional Data Cataloging Tool for Metadata Management
What do you like best about the product?
Atlan's modern and intuitive UI facilitates quick onboarding for new users.
The Chrome extension and metadata discovery within preferred tools are highly valued features.
Lineage tracking between data platforms and drill-down to column-level lineage aids in investigations.
The tailored implementation blueprint helped us focus on the right tasks.
Atlan's wide range of supported integrations and ease of integration are commendable.
What do you dislike about the product?
Documentation updates were inconsistent, potentially due to rapid development.
What problems is the product solving and how is that benefiting you?
We has a collection of data from widely different sources and teams find it dfficult to locate and understand the data they need. By making it all searchable under a single tool is helping a lot. Alongside that, the business glossary is helping teams collaborate and define terms to agree upon.
Lineage across tools and the chrome extension has made it very helpful and easy for teams to adapt to the tool.