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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.
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The simple to use and integrate data catalog for your data lineage and management needs
What do you like best about the product?
With Atlan we are able to connect across a breadth of systems that we rely upon to easily see where our data resides and identify which teams manage it. Connecting to systems was fairly straightforward and it has made searching for data artifacts much easier. This has helped in onboarding new data team members. Multiple new hires have commented on how simple it is to use and they frequently reqly upon it as a key tool in their toolbox. It has also assisted in bringing more of the organization into leveraging data more effectively.
What do you dislike about the product?
No really strong downsides to the product. Like many products Atlan tries to encourage a degree of product lock in but they are still open enough to allow for documentation and management to live in other tooling.
What problems is the product solving and how is that benefiting you?
Where does our data sit at rest and what data models/artifacts are available to use in product analytics and other use cases.
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.
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.
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.
Lineage across tools and the chrome extension has made it very helpful and easy for teams to adapt to the tool.
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 Data Catalog
What do you like best about the product?
It is one of the best data catalogs in the market and I would say it has the best UX. It is easy to adopt and is designed to be close to where your users are looking at data (It has a plugin), which makes adoption a lot easier.
We are still rolling out all the features, but so far we have seen a lot of value, specially using the lineage functionality.
We are still rolling out all the features, but so far we have seen a lot of value, specially using the lineage functionality.
What do you dislike about the product?
It would be great if they had an easy way to add assets they have no connectors for. While the APIs are great, one of the reasons we selected them, there are tools where using engineering resources is too expensive or the tool we want to connect to does not have APIs. I understand we would not have all the features the API or the connector gives us, but it will not stop us from adding ALL data related reports in Atlan. Right now, we found a hack using Glossaries, but it would be ideal if they could make that available without hacks.
What problems is the product solving and how is that benefiting you?
It is making it easy for our users to discover our data assets and self-serve themselves at scale.
It is saving us a lot of time when we need to do an impact analysis e.g. what assets will be impacted downstream from making this change in our warehouse.
It is helping us streamline how we manage our data assets and making it the central place for all things data. Data consumers can submit tickets on a dashboard that has a bug or if they have an idea. It is a repository of all our knowledge around specific assets.
It is saving us a lot of time when we need to do an impact analysis e.g. what assets will be impacted downstream from making this change in our warehouse.
It is helping us streamline how we manage our data assets and making it the central place for all things data. Data consumers can submit tickets on a dashboard that has a bug or if they have an idea. It is a repository of all our knowledge around specific assets.
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