Atlan

“And the last thing I’ll say is you’ve been great partners. We’ve come with some out-of-the-box thinking, and we’ve said “ This is what we want to do ,” and your team has never said “ Oh, I’m not sure we can do that .” Your team has always said, “ We can do that, just give us some time, tell us about what you want to accomplish, and we’ll make that work. “”

“We also chose Atlan because of the shift-left philosophy. The way that you approach the catalog is with that point of view or perspective in mind.”

“The reason that we chose Atlan was because of the API infrastructure. We can do things in an automated way so we can get anything out, and anything in that we need to, and it embeds directly in our engineering processes.”

“I think we’ve finally found the right platform to make our data self-service, discoverable and clear for our data-driven teams.”

“We looked at three products before choosing Atlan. Atlan uses open source, has made some strategic moves into AI and there’s not a lot of legacy infrastructure as it started in a cloud environment. Those are things, in addition to having a nice interface, that made us decide in favor of Atlan.”

“Our team had a very good experience with Atlan in terms of its usability and how it’s focused on our use cases.”

“We see more and more people defaulting to the data catalog instead of going through a lengthy process of going back-and-forth (with questions),”

“Obviously, we have users consuming all of this. We have all of our assets in Atlan; everything integrated into Atlan. Basically, Atlan is the place where all data sharing happens,”

“We’ve onboarded into Atlan all of our data sets from both our legacy platform and our new data platform”

“We figured out that we needed a data catalog to support us with the cultural piece of Data Mesh. We went through several proofs of concept, and through those, we chose Atlan as our data catalog .”

“I think Atlan provides that flexibility through APIs so we can push and pull (from) any of those systems to the catalog, or any of that metadata to the catalog, which is one of our top priorities.”

“Atlan can tell publishers the usage of the tables or data products that they build. Of course, it helps consumers find data and understand more about the data that’s trustworthy. And for the platform team, we can have visibility into all of this, we can understand now, what actually is being used in the platform, what’s popular, what’s not. All things that weren’t possible before.”

“We needed something that could help bridge the gap between publishers and consumers, so we adopted a data catalog. Atlan is the layer that brings a lot of the metadata that publishers provide to the consumers, and it’s where consumers can discover and use the data they need ,”

“As part of our transformation, we recognize that data is a fundamental and a critical pillar to understanding our customers’ experiences and needs, and guides how we can improve and optimize. There’s been significant investment in modernizing our data platform to address challenges. We needed to move towards a single source of truth, and increase the reliability and scalability for delivering insights for the various departments we serve. We’re essentially removing technology as a barrier to using data and finding insights.”

“Choosing Atlan as part of the transformation project helped us to tightly couple the delivery of a data catalog with all the new, shiny tools. But our main value driver is getting to a single source of truth, with everyone having access to the same knowledge base, which is consolidated and curated by the business. We were quite keen that the new operating model, based on a single, self-serviceable data catalog, meant changing away engineers, analysts, and end users conversing offline on chats and emails around data.”

“And we saw some impressive tools. It’s a burgeoning space. There’s some great tools out there. But I’m glad that we also looked at Atlan because ultimately it had a good combination of what we needed at Docker.”

“We knew that it would be a real partnership and that the customer support org was prepared to support the needs of an organization like ours.”

“You demonstrated very competent understanding of the problems in the data space and also very mature customer support.”

“Atlan is a very cool tool that has a good suite of features that we were looking for, but the differentiator honestly came down to the people at Atlan.”

“We used Insights to support our client service team, and Atlan made it so much easier and saved a bunch of time for me and my team. It was an easy and effective workaround, until our CRM was ready to handle the new product. So it really gave us peace of mind. It was something that took my team only a couple of hours to put together. We could not have done that without Atlan.”

“That was a really powerful piece of what Atlan offered for us, and I’ve been very happy with how that’s progressed,”

“Atlan became a necessity. That’s how we control access in an easily repeatable fashion,” Ian explained. “And then the fact that we have data lineage on top of it, and the ability to organize all of our information and classifications, and add glossary terms linked to that data? That’s all icing on the cake for us.”

“When we compare data discoverability with other tools, Atlan’s UI makes it a lot easier.”

“The fact that Atlan had column-level data lineage for our warehouse and BI tools was a big, big factor for us.”

“Atlan adapted to the type of pricing that we needed for our organization and our current stage in our data maturity.”