"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."
“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.”
"Something that we’re currently working on, hence where all this change is coming from, is that we’re trying to standardize and centralize the Data Analyst function. At the moment, they all form part of each one of the business units. But we want to standardize all the tools that they make use of, how they’re measured and monitored, and what best practices they should be following.”
"Atlan is a great product and one that we would definitely recommend! Compared to other products in the marketplace, the combination of features, a pay as you go pricing model, and access to the product team is unmatched."
"Atlan is our way of solving problems without having to ask three of your teammates a navigation question, a data lineage question, or an ownership question."
"Since Atlan is virtualized on Snowflake, we don’t have to worry about security and HIPAA sensitivity."
“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 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.”
"Implementing a data catalog is about adoption. After taking a look at the best catalogs on the market, I chose Atlan, and I would choose Atlan again if I had to. It’s the best UX, best experience, and best adoption.”
“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.”
"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.”
“Our data maturity has really grown over the years, and that led to the idea that we need to be looking at our own data platform and capabilities, and using that as a launchpad for backing up the services we provide to clients, and enabling us to build and power a load of products we can offer to clients and run ourselves.”
“After a few years of being the sponsor bank for a FinTech offering, our founders decided we could build this kind of thing ourselves. So we started building our own digital banking products division, which is where Credit Strong was born.”
"All other products in this space have been developed keeping the technical user in mind. Our vision of data democratization went beyond the technical user to touch every business user. With Atlan’s design-first approach and intuitive product, we were able to drive more adoption in a few months than we had in years with other tools."
“Even before COVID, Elastic was distributed and remote. It’s important to realize that when we think about how we operate as a company. You’ll see that in our source code, and you kind of think of that as a kind of culture statement."