Atlan - Active Metadata Platform for AWS

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.

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%.

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.

I have been using Atlan for about six years.

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.

Hybrid Cloud

Amazon Web Services  (AWS )

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.

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.

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.

I have been using Atlan for five years.

Atlan is stable; I have not experienced any downtime.

Atlan is very scalable and helps our organization to grow while catering to our needs.

Customer support for Atlan is not so proactive. They should improve their proactiveness to be more proactive and responsive.

Negative

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.

We purchased Atlan through the AWS Marketplace .

Atlan has certainly saved time and money by consolidating our metadata sets.

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.

Before choosing Atlan, I evaluated Talend Data Catalog.

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.

Public Cloud

Amazon Web Services  (AWS )

What do you like best about the product?

We can catalog tables and reports, the lineage feature is best

What do you dislike about the product?

May be the support for the tool. The repsonse takes time

What problems is the product solving and how is that benefiting you?

We are using mainly to find lineage through all our data warehouse.
It makes debugging easy

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.

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.

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.

Atlan can be improved by integrating agents that can support users in finding assets of interest.

Atlan has been used for one and a half years.

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.

Private Cloud

Amazon Web Services  (AWS )