Atlan

““Atlan’s open and extensible foundation helps our technical team build applications to improve customer experiences in the AI era.””

““AI initiatives require more context than ever. Atlan’s metadata lakehouse is configurable, intuitive, and able to scale to hundreds of millions of assets.””

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

“Atlan not only had all the dream features we were looking for, but the user interface and experience were extremely intuitive. Built around a Google-style search, Atlan was designed to be user-friendly for technical and non-technical users alike. Its collaboration-first approach — e.g. the ability to share data assets as links, or its integrations with Slack — was also very promising. When we gave Atlan to team members, they were able to get onboarded and start driving things very quickly.”

“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 ,”

““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),” Kasia explained.”

““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,” Kasia explained.”

““We’ve onboarded into Atlan all of our data sets from both our legacy platform and our new data platform” Kasia explained. “And for migration purposes, we’re using Atlan to identify these sources of the products that are to be migrated to the new data platform, as well as to figure out the downstream objects affected by decommissioning in the legacy 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 .””

“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.”

“This is the first and only cataloging tool I’ve used. We got some demos from other companies, but the Atlan team innovates really quickly, and was responsive for any issues or requests we had early on; issues that have mostly gone away at this point, a year later. My advice would be to look for something that’s not only usable by your technical teams, but simple to understand and navigate for all the people who are going to be your consumers. If it’s not, they’re not going to touch it.”

“You have to have one place where everything is put together and documented. Atlan provides all the tools I need to do good governance on the assets I have,” their leader shared. “We want to enable quality, data-driven decisions, and make the right decisions with the right insights. We can’t do that without proper governance.”

“For people that want to do a little bit of analysis on their own, my goal is to send them to Atlan,” he explained. “There, they’ll have all the context they need and some saved queries they can get started with. They can make better sense of it.”

“A lot of times, people just want reports, but there are also a lot of brilliant technical people that want to dive more deeply into data, and we’re able to provide something to all of them,” their leader shared. “Having a documentation tool means we’re aligning better, and aligning better helps us make faster decisions.”

“What stood out to me about Atlan is that our stakeholders could log in and query information directly. Instead of my team providing direct access to all these data stores in Snowflake, I could provide access to Atlan, and they could find what they needed. It’s a one-stop-shop model for governance and discovery, and that’s what I was looking for. I didn’t want more than one tool.”

“That level of support was excellent, and I could tell, “Oh. That one’s a new company. You guys are interested in building strong relationships,” whereas folks with some of the older platforms are just hanging out, trying to figure out how to charge more money.”

“For me, Atlan stands out for its user experience.”

“With the evolution of the data platform, we’ve matured and we’re ready for the future. Are we 100% there? You never are, but we want Atlan to continue to evolve in the right direction to support us in that journey so that day, we can be world-class.”

“What’s important is this allows people to focus on the right things. Developers are focusing on delivering value with data, rather than having to troubleshoot and spend time digging through code finding where pipelines broke,” Nestor shared. “When data is properly documented and data products are easy to find, our business partners can answer questions without jumping through hoops trying to find the right owner, then waiting for busy people to respond. In terms of time savings, this is significant.”

“We’ve gotten a lot better at testing and managing issues. Atlan has been a big help, and we’re able to catch all these potential issues before they even occur,” Nestor explained.”

“When I first showed Atlan to this person, his first reaction was ‘When can I get it? I need this ASAP.’ Having lineage and column-level documentation meant the need for these spreadsheets just went away. He doesn’t need to update them, and he definitely doesn’t rely on them, so it’s a huge time-saver.”

“Atlan has been a great help. We no longer have to rely on these documents, and we’re able to do impact assessments at the click of a button,” Nestor shared.”