63 Atlan Testimonials

“My initial impression was the user interface and the thought put into every element — making it searchable, easy to navigate. When you have thought through small things like icons, it paints a good picture.”

“I had to deal with a vast array of challenges, starting from understanding where data governance could help in such an organization.”

"As data teams, we’ve painted ourselves into a corner. On one hand, no data team wants to be a help desk or dashboard factory, resolving Jira requests for data pulls or cranking out ghosted dashboards. On the other hand, as much as we might resent it, this is some of the most important work we do. Optimistically, we’re victims of our boring successes; cynically, our egos are bigger than our abilities."

“This is where the source of truth lives. This is where our end users can go to find and understand the data behind the reports that we’re generating.”

“We want to surface everything in the enterprise to the users, but restrict some data in terms of access. I have to go through a request process, but we don’t want to stop them from seeing what exists.”

"When I mention Atlan to other competitors, people literally stop replying to us. Because Atlan is such a strong competitor, they know they’ve lost the deal."

“Well if you go with us we’ll be good in two years.”

“We have hundreds of millions of students, educators, and general users in our application. As you can imagine, it also results in a lot of data, And because Brainly is a global platform, we operate in 35 different countries, and we have a really extensive knowledge base for all school subjects and grades.”

“If we can better track where data is going and flowing in our system, it might be easier to automate it, or at least more easily find out where the data is and in what location.”

“We are big believers in automating wherever possible and the quality and depth of your APIs, the fact that everything can be API-driven, was a huge deal for us.”

"It was an obvious choice when I saw Atlan, if only because of how well it integrated with the tools we have. It was Fivetran, it was dbt, you connected to MySQL databases and to Salesforce, and there were exciting things coming with the Monte Carlo partnership. It gave that end-to-end experience to the user. We didn’t have to manage any clusters or compute resources. It was easy to sign up users, and really easy to onboard them.”

"A data platform today needs to have a number of core features. It needs to be multi-domain, and it needs to support data from many different parts of the business across many different subject areas. It needs to be multi-tenant, and we have to enable multiple teams to work on the platform, securely and in isolation, only sharing when they choose to, which leads to security. The platform has to protect data, especially our most sensitive customer data. It is compliant, meets privacy requirements, supports discovery, and has high velocity and high quality tooling for common extract, load, and transform operations.”

“Two key parts of this were, one, improving visibility and understanding of data, including business and technical ownership. And two, enabling self-service by data users, which would then allow Data & Analytics teams to focus on value-adding activities, like providing insights."

“Before Atlan, we lacked a single source of truth for our ‘ubiquitous language’ for a given data domain. Our knowledge was lost in emails, chats, and meetings.”

“The legal team rarely spoke with the engineering functions. It was a bit isolated."