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Great enrichment tool
What do you like best about the product?
Tracking lineage down to the column level and the automatic enrichment capabilities of the Playbooks feature and/or API
What do you dislike about the product?
I wish there was an easier way to track and debug the progress of the workflows.
What problems is the product solving and how is that benefiting you?
Atlan is helping us democratize and enrich our metadata.
Super Helpful for a Mobile Gaming Company That Collects TONS of Data!
What do you like best about the product?
As a mobile gaming company, we collect TONS of data. We were mainly attracted to Atlan because we needed a "source of truth" for all our data sources and a data lineage tool. Atlan has made it easy to document our rapidly growing database and reports, as well as visualize how each asset connects. Atlan has also made it possible for our non-analytical teams to search for Tableau reports and query our database without SQL coding skills.
We especially love how easy it was to get Atlan up and running. It integrated with all our existing tools (Slack, Jira, Tableau, Snowflake, etc.), and the Atlan team has been with us at every step. The customer service has been phenomenal -- even post-set-up. Shoutout to Steven for creating personalized tutorial videos for us! Thank you!
We especially love how easy it was to get Atlan up and running. It integrated with all our existing tools (Slack, Jira, Tableau, Snowflake, etc.), and the Atlan team has been with us at every step. The customer service has been phenomenal -- even post-set-up. Shoutout to Steven for creating personalized tutorial videos for us! Thank you!
What do you dislike about the product?
Just a few bugs here and there, but Atlan's support team has been extremely responsive and helpful!
What problems is the product solving and how is that benefiting you?
Data governance, data lineage, documentation. Atlan has saved our analytics team so much time and energy by acting as a "source of truth"! We're able to focus on our own tasks rather than performing simple queries for other teams.
Collaborative Metadata Management with Atlan and dbt: My Experience as a Data Engineer
What do you like best about the product?
As a data engineer, I've been particularly impressed by Atlan's ability to easily integrate metadata generated by dbt and custom metadata. The integration with GitHub has also been beneficial, allowing for seamless collaboration between team members on data projects. I've found that the visual representation of lineage has been precious in understanding how data flows through the system, and seeing the complete lineage at a glance is a significant time-saver. Additionally, I've had a very positive experience with the integration between Atlan and dbt, which has been reliable and straightforward to use. Overall, Atlan has made collaborative metadata management a breeze, and I would highly recommend it to other data engineers looking to streamline their data management processes.
What do you dislike about the product?
One area that could be improved with Atlan is the website speed. Unfortunately, I've found that the majority of the time, the website is quite slow. This can be frustrating when trying to complete tasks efficiently, and I hope that Atlan can address this issue in the future to improve the user experience.
What problems is the product solving and how is that benefiting you?
Atlan has been a tremendous asset in my work as a data engineer, providing several key benefits that have helped streamline my workflow. One of the most significant advantages of using Atlan is that it makes it much easier to share information about the tables generated with anyone, even those who may not have a deep understanding of data structures. Additionally, the custom metadata feature has been invaluable in showcasing when tables are updated and the frequency of these updates. Finally, being able to quickly identify the resources affected in any workflow has saved me significant time and effort when troubleshooting. Overall, Atlan's collaborative metadata management has made my work more efficient and effective, allowing me to focus on other important tasks.
promising product with dedicated team continuously iterating
What do you like best about the product?
1. the team is devoted to helping customers, from feature implementation to customer support.
What do you dislike about the product?
I left my previous job 9 months ago, where I was using atlan. at that time, I felt atlan is still a new product with areas to mature and new features to implement to be more widely adopted.
What problems is the product solving and how is that benefiting you?
1. the initial problem we leveraged Atlan to solve is data lineage, especially the GUI part, rendering with collapsable nodes. Once we deployed it, we found we can use Atlan to do metadata management / data governance so our scope expanded
Sharethrough Atlan Review
What do you like best about the product?
The lineage feature has been beneficial for my team members and me. I think this is Atlan's main selling point as a tool for us.
What do you dislike about the product?
Inability to integrate Atlan with company lines of communications. I feel like the Slack integration is not developed enough; I feel the same way about the JIRA integration.
What problems is the product solving and how is that benefiting you?
Atlan is helping to increase our work velocity. It's now been integrated into our workflow. We can quickly determine upstream and downstream dependencies with the tool.
Data Catalog and collaboration tool
What do you like best about the product?
Centralized data asset management (datalog, lineage, governance)
Collaboration and user-generated metadata
Collaboration and user-generated metadata
What do you dislike about the product?
missing some reporting on tracking user activity
What problems is the product solving and how is that benefiting you?
help users navigate the organization's data
visualize data assets in one place
collect user generate feedback on data assets
visualize data assets in one place
collect user generate feedback on data assets
Atlan hits the mark
What do you like best about the product?
It's easy to configure and roll out. Intuitive to use.
What do you dislike about the product?
the roles and governance functions are a bit confusing to me so far.
What problems is the product solving and how is that benefiting you?
Cetnral repository for data governance footprint. Central data dictionary. Lineage resarch
The Only Active Metadata Platform Needed
What do you like best about the product?
The User Experience, Customer Support, Existing Features.
What do you dislike about the product?
Nowhere on the platform can we see how one can get things done with in organization with largely distributed teams.
What problems is the product solving and how is that benefiting you?
It helps data consumers understand data very easily and quickly; for teams, it helps a lot in onboarding new team members easily and quickly. It helps a lot in DataOps and Data Management.
Atlan is a useful metadata dictionary
What do you like best about the product?
I like the features it has w.r.t. lineage and data quality checks; as well as the integration with dbt. I love the responsiveness of the team.
What do you dislike about the product?
The separate UI becomes unmanageable over time unless governance standards are not imposed, and it is a bit disconnected from the data production cycle because it is away from the code.
What problems is the product solving and how is that benefiting you?
Atlan is solving issues with metadata management, data quality and discoverability.
Data Catalog
What do you like best about the product?
Finally, we can store together the definitions of business terms and the way of calculating them.
What do you dislike about the product?
I do not see any downsides. It may require additional work to organize your projects, but this worse your efforts.
What problems is the product solving and how is that benefiting you?
Atlan helps to understand our data and business metrics. We keep business terms definitions along with data and rules (SQL) how to calculate them.
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