66 Atlan Testimonials

"In a proof of concept, unless you look at it, feel it, and use it with your own organization’s data ecosystem, which can be messy and brings its own challenges, you can’t see how the tool adapts to that. You need to ultimately give your sponsors and users, who will be using this tool, the ability to get hands-on and say what they do and don’t like. It gets them more engaged in the process.”

“Nasdaq operates over 30 exchanges across a variety of asset classes across the globe. We’re also home to over 4,100 publicly listed companies globally. In the U.S., we’re home to 73% of all publicly listed tech companies, and the four largest by market cap. Nasdaq is truly the home of technology.”

"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.”

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

“I needed a tool to do that at scale. We were talking about hundreds of, and eventually thousands of defined terms, and we were just not able to do that in the Confluence tool that we were using earlier.”

"Atlan was very easy to set-up, we had all of our data sources flowing within the first day."

"Traditional data warehousing can be quite expensive and time-consuming. It does extend the time to insight. So by the time you’re delivering the insight, it’s already potentially too late for the business. We need to adapt."

“Data is key to better customer experiences in the AI era, and Atlan helps us deliver that value. Its open, extensible foundation lets us build apps and govern data from day one.”

“The big difference now is that we are confident as a team when we’re talking about a data asset.”

“This is what we want to do, and your team has never said Oh, I’m not sure we can do that. We can do that, just give us some time, tell us about what you want to accomplish, and we’ll make that work.“

“If we didn’t have AI in our arsenal, we could find ourselves at a competitive disadvantage. Unity Catalog worked out of the box for us and Atlan gave us visibility from the cloud all the way back to our on-prem.”

“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.”

“It’s allowed us to fully automate reporting without any engineering resources and become self-sufficient. So it’s definitely removed a big bottleneck in our process. When I put in a request to the data engineers, it would take a week to get it into their sprint, and then it would take another week or two to actually produce it. So a three-week waiting period is just not scalable. So this definitely cut that down to a half an hour, maybe less, to set up.”

“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.”

“The first major change we did in tooling was an enterprise data science environment. We ended up buying Dataiku, and that made a huge difference. We stopped throwing spreadsheets around and were storing tables for intermediate transformations."