In my role focused on data governance, Atlan is crucial for cataloging and managing assets from various sources like SAP into our company's data lake.
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Great way for teams to browse data
What do you like best about the product?
Good interoperability with multiple data sources. Allows users to see what is available across all assets in a single spot. Reasonably easy to navigate for the data neophyte. Our support experience has been good. We use it frequently for small scale data consumption requests.
What do you dislike about the product?
We would like to see a feature that would publish the results of a saved query on a set cadence.
What problems is the product solving and how is that benefiting you?
Filling the gap in meta data management. Providing an easy portal to our data for the teams.
Helplful docs for data-users.
What do you like best about the product?
the search function - where it is placed and how relevant the search results are have helped me onboard to my new (data) organization faster than had I not had access to such a helpful catalogue.
Lineage diagrams clearly mark where data is coming from.
Though I've not used it much, I like that it's easy to directly edit the descriptions of fields. I think that's why the data I have access to is so well-documented (it is easy to update).
Lineage diagrams clearly mark where data is coming from.
Though I've not used it much, I like that it's easy to directly edit the descriptions of fields. I think that's why the data I have access to is so well-documented (it is easy to update).
What do you dislike about the product?
I frequently flip back and forth between (1) atlan, and (2) the github repository containing our dbt models. I know that atlan is integrated so it's possible to see within the app how exactly (raw SQL) a model is built but I feel like this feature could be fleshed out more so that I'm not tempted to flip back and forth.
What problems is the product solving and how is that benefiting you?
it helps me to learn quickly about the data that is available at my org.
The most intuitive and leading metadata management product on the market
What do you like best about the product?
Overall, the experience from inception to implementation was excellent. The sales team was very responsive, helping us answer all our questions and connecting us with the technical team to resolve any issues. This ensured a seamless product evaluation experience and timeline.he product is very easy to integrate with different collaboration tools and other data products. They have been adding many new features that were requested, ensuring the product is far more mature compared to other metadata management tools.
What do you dislike about the product?
Atlan’s licensing model limits your ability to use the product to its fullest potential if your organization has budget constraints. Since the licensing model is based on the number of users and connectors, you cannot expand it to everyone in the organization, and it costs more to add additional connectors
What problems is the product solving and how is that benefiting you?
Atlan addresses our company's challenges by making it easier to discover and organize data, which saves time and boosts efficiency. It also provides better enterprise visibility, reducing duplicate and inefficient queries, lowering compute and admin costs. Atlan increases data asset awareness, enabling easier access and understanding, which fosters innovation and business opportunities.
Atlan with Saas only data sources
What do you like best about the product?
Ease of use for admins, developers and business users.
What do you dislike about the product?
A couple of the critcal support tickets took a long time to resolve, but normaly they were processed in a timely fashion.
What problems is the product solving and how is that benefiting you?
Give data transpartency across the organisation. Manage data access.
A promising Data Catalog with a great Customer Support
What do you like best about the product?
Customer Support is very helpful and happy to find work arounds.
What do you dislike about the product?
No downsides - the platform is still being developed. Perhaps a bit more Data Quality features and native connectors.
What problems is the product solving and how is that benefiting you?
Lineage, Glossaries
Atlan is a game changer & pioneer in modern Data Governance space
What do you like best about the product?
Richness of Features, Design Flexibility of workflow as per our needs + standard templates, Super Quick Response/support from Atlan Team, Leading the thoughtprocess in Data Product space.
What do you dislike about the product?
Error logs of batch processes are too verbose & it will be challenging to pin point any error. However, there are rarely any errors + atlan support proactive in addressing/advising on the errors.
What problems is the product solving and how is that benefiting you?
Managing Metadata is a challenge for us, with tons of tech savvy business users generating data content that will consume similarly tech savvy users of the organization in a fast paced manner. Self-service, open source tool integration, and click-and-go features were critical for our business, so that data governance does not slowdown the business, instead of helping to speed up the business. Altan was a perfect solution to that problem.
Has a user-friendly interface and a straightforward setup process
What is our primary use case?
How has it helped my organization?
Atlan has significantly streamlined our data governance processes by centralizing asset management and improving metadata handling. However, the absence of scheduled email reports has been a minor inconvenience, as it would enhance our workflow efficiency.
What is most valuable?
The feature I find most valuable in Atlan is its exceptionally user-friendly interface. Unlike other more technical data catalogs I've used, it has an intuitive design that facilitates easy adoption among business users.
Features like assigning data owners and managing metadata are also pivotal for our data governance practices.What needs improvement?
The product could be improved by offering scheduled email reports for managed assets. This feature would greatly benefit users like me who need regular updates without having to log into the platform daily.
For future releases, enhancing reporting functionalities, particularly the ability to schedule and receive email reports, would be valuable.
For how long have I used the solution?
I've been using Atlan for about five months now.
What do I think about the stability of the solution?
The product is stable.
What do I think about the scalability of the solution?
Although I haven't been directly involved in large-scale user deployments, the platform is scalable. Adding users has been manageable and aligns well with our current needs.
How are customer service and support?
The technical support services are good.
How was the initial setup?
The initial setup process was straightforward.
What about the implementation team?
The support from Atlan's vendor team has been excellent in assisting with any setup queries.
What other advice do I have?
Using Atlan for day-to-day operations has been straightforward. I would recommend it for its user-friendly interface and robust data governance capabilities.
I rate it a nine.
Easy to use
What do you like best about the product?
The tool is very intuative to navigate, making it so we don't have to do a lot of training for new users. Implimentation was also easy and their customer support has been great!
What do you dislike about the product?
The lack of flexibility around custom fields.
What problems is the product solving and how is that benefiting you?
We have a way for business users to easily document trible knowlage, link business terms to technical assets so people can self serve on knowing where in the database to get data and knowing the definitions of the data they are using. Allows our technical teams to have a diagram of how lineage.
Atlan - AI based metadata management for datalakes
What do you like best about the product?
Atlan provides detailed metadata on data plarforms, It can connect to several data lakes and warehouses and fetches information like usage, lineage, table and column descriptions, no of queries, table level activities etc. It enables data lake warehouse usage analytics easy and user friendly. AI generated suggestions for deble and column description feature is also usful. Integration with communication tools like Slack save time to communicate and describe tables to users
What do you dislike about the product?
Sometime Atlan is bit slow to load all information about a data asset, which can deter users. Role based access mechanism is useful for user authorization, but sometime it is confusing if you have access to multiple roles.
What problems is the product solving and how is that benefiting you?
Previously it used to take a lot of time find usage details, lineage information, quality information about a data product. Now, Altan showcases all metadata information about all data assests in a central place. Its hugely time saving for data engineers, analysts, and data scientis to get information about the product. Data assets can be easily shared accross by integrated communication tools like Slack. Overall it plays a crucial role in the journey of data analytics democratization throughout the organization.
Best-in-class Active Metadata Management Tool
What do you like best about the product?
1. Atlan is deeply committed to innovation. Its products, such as Atlan AI and Atlan Mesh, are redefining the concept of an Active Metadata Management tool, also known as a data catalog.
2. The customer support and customer solutions teams at Atlan are highly engaged in helping clients achieve their goals. They often create custom packages or solutions to meet specific needs.
3. Atlan’s Chrome extension is noteworthy. It offers the convenience of an embedded Atlan solution within Databricks, Power BI, Google Chrome, and other platforms, eliminating the need to switch between applications. This seamless integration enhances user experience and productivity.
2. The customer support and customer solutions teams at Atlan are highly engaged in helping clients achieve their goals. They often create custom packages or solutions to meet specific needs.
3. Atlan’s Chrome extension is noteworthy. It offers the convenience of an embedded Atlan solution within Databricks, Power BI, Google Chrome, and other platforms, eliminating the need to switch between applications. This seamless integration enhances user experience and productivity.
What do you dislike about the product?
While the product documentation is publicly available, some of it is outdated, which can sometimes lead to confusion among clients. Additionally, information about bugs and fixes is not readily available on the official website. Once a request is opened, it’s currently not possible to assign a priority level to it. This is an area that could benefit from improvement.
What problems is the product solving and how is that benefiting you?
Previously, Data Discovery was only available for a select few data and analytics roles. However, Atlan has provided the opportunity to leverage data quality from data assets through impact analysis and root cause analysis.
With Atlan’s workflow features, metadata and lineage curation have become possible. The tool also allows for the massive import of Business Metadata with custom packages and automation (playbooks).
Reporting analytics is another key feature of Atlan. It generates insights from tool usage, providing valuable data such as the number of weekly active users, the number of curated assets, assets with lineage, popularity, and more. This information can be instrumental in understanding user engagement and improving the overall user experience.
With Atlan’s workflow features, metadata and lineage curation have become possible. The tool also allows for the massive import of Business Metadata with custom packages and automation (playbooks).
Reporting analytics is another key feature of Atlan. It generates insights from tool usage, providing valuable data such as the number of weekly active users, the number of curated assets, assets with lineage, popularity, and more. This information can be instrumental in understanding user engagement and improving the overall user experience.
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