Atlan emerged seemingly out of nowhere to turn into one of many preeminent suppliers of information catalog options. However the path to success for Atlan didn’t arrive spontaneously, and was the results of exhausting work and expertise of CEO and co-founder Prukalpa Sankar, who can be a BigDATAwire Particular person to Look ahead to 2025.
BigDATAwire: First, congratulations in your choice as a 2025 BigDATAwire Particular person to Watch! Again in 2012, you and your eventual Atlan co-founder, Varun Banka, had been constructing a giant information platform for prime minister of India. Did you ever suppose that work you had been doing at SocialCops would result in a profitable firm?
Prukalpa Sankar: Completely not – and but, trying again, it feels nearly inevitable. On the time, we weren’t optimizing for fulfillment. We had been optimizing for affect. We didn’t got down to construct an organization – we got down to resolve significant, high-stakes issues.
From counting buildings with satellite tv for pc imagery to converging 600+ messy information sources, SocialCops gave us a front-row seat to a number of the most painful, chaotic, and handbook information challenges on this planet. And if you dwell by way of that ache lengthy sufficient, you both give up – otherwise you construct one thing higher. Atlan was born out of that “sufficient is sufficient” second.
We weren’t attempting to construct a startup. We had been simply obsessive about fixing the issue the suitable manner.
BDW: Atlan has turn into one of many high information catalog suppliers over the previous few years, and was the far and away chief in the latest Forrester Wave for Enterprise Information Catalogs. What do you attribute that success to?
PS: Our greatest aggressive benefit is care.
At Atlan, we function with a core precept: clients > firm > group > me. That hierarchy shapes each resolution, each line of code, each roadmap debate. We actually care – about fixing actual issues, about making our clients heroes of their organizations, about being an actual companion of their journey.
This degree of empathy has helped us construct belief. It’s why we’ve constantly been the top-rated resolution throughout industries and buyer evaluation platforms. It’s additionally why we’ve been in a position to innovate forward of the curve.
We had been the primary to launch Atlan AI. The primary to operationalize Information Mesh and Information Merchandise in a catalog. We pioneered Energetic Metadata and redefined the class – not as a documentation instrument, however as a residing, respiration cloth of the fashionable information stack.
We didn’t simply discuss “shifting left.” We constructed workflows that combine metadata natively inside engineering instruments. Each a type of bets got here from listening deeply and caring intensely.
And that care can be our edge going ahead. As our clients face the most important shift of their careers on this new AI-native world, they received’t want simply one other vendor. They’ll want a companion they’ll belief. We plan to point out up with the identical degree of care, empathy, and innovation they’ve at all times recognized us for.
BDW: Information governance is tough. What’s the one most necessary factor that practitioners do to enhance their odds of success, or at the least decrease the ache?
PS: Begin with the enterprise drawback. Not the know-how.
After working with 200+ information groups, we’ve constructed one thing we name the Atlan Method – a set of hard-won classes about what really makes governance succeed. Not simply the tech, however the folks, this system, and the working mannequin.
Most governance packages fail for one among three causes:
- They by no means rise up and operating.
The metadata stays dry. Implementation is simply too handbook. It’s too exhausting to keep up. That’s why we constructed Atlan to be automation-first and to shift left – deeply integrating into the information producer workflow. Governance shouldn’t be a one-time setup. It ought to be a sustainable, long-term behavior – a part of the way you construct and ship information merchandise day by day. - They by no means get adopted.
That is the place our change administration philosophy kicks in: don’t power it. Take know-how to your customers – don’t carry your customers to the know-how. That’s why Atlan exhibits up the place your group already works: inside Slack, Microsoft Groups, BI instruments, and information warehouses. We meet folks the place they’re, not the place we want they’d be. - They’re not future-ready.
Change is the one fixed within the information ecosystem. Two years in the past, no person was speaking about vector databases. Final 12 months, they had been in every single place. This 12 months, the dialog has already moved on. Governance methods can’t be brittle. That’s why we’re constructing a completely open platform – so governance doesn’t gradual groups down, it units them free.
On the finish of the day, we consider governance ought to be invisible. It shouldn’t really feel like management. It ought to really feel like enablement. Embedded within the workflow. Constructed for actual people. And at all times evolving.
BDW: Atlan’s technique is to function the metadata management airplane, sitting above the information instrument stack to control information by way of metadata. That’s not how information practitioners are accustomed to doing every thing inside their instrument. What’s the secret to altering these previous habits?
PS: The key is straightforward: you don’t change habits—you design round it.
Certainly one of our earliest classes at SocialCops was that individuals revert to what’s best. You’ll be able to’t brute-force new workflows. So as a substitute of attempting to combat that, we constructed Atlan to be the connective tissue – not a brand new silo. Our philosophy is to meet folks the place they’re, not the place we want they had been.
That’s the place Energetic Metadata is available in. Most metadata platforms act like passive libraries – nice for documentation, however disconnected from actual work. We flipped that mode. Atlan prompts metadata throughout the stack – embedding it into instruments groups already use: GitHub, Slack, Groups, dbt, BI instruments, and information warehouses.
We’ve introduced metadata into engineering workflows, the place producers really construct and ship information merchandise. We’ve helped information customers discover trusted context proper contained in the instruments they already use. That is what we imply by shifting governance left – governance that appears like a function, not a friction.
As a result of on the finish of the day, “Metadata isn’t a layer you add. It’s the inspiration you construct on.”
BDW: GenAI instruments and LLMs are proliferating in enterprise information stacks. What difficulties do these new instruments and applied sciences pose to information governance?
PS: We’re not in a digital-native world. We’re getting into an AI-native one.
Essentially the most fascinating factor about LLMs is that they now perceive language – however they don’t perceive that means. Solely people can educate that. And as LLMs begin doing extra of the work people as soon as did, one query issues most: are you able to belief it?
Are you able to belief the information that skilled the mannequin? Are you able to belief the mannequin that produced the output? Are you able to belief the AI-generated motion that impacts your corporation, your clients, or your model?
That’s the place governance steps in. Not as coverage enforcement, however as a system for context and belief.
Within the AI-native enterprise, governance isn’t a back-office operate. It’s a frontline enabler. The businesses that transfer quick and construct belief would be the ones that win. However that’s solely potential if governance evolves into an clever, embedded, real-time functionality.
We consider that is governance’s leapfrog second – an opportunity to maneuver from being a value heart to a aggressive benefit. As companies rewire their merchandise and processes with GenAI, the true query received’t be “Can we do that?” It is going to be “Can we belief this?”
That belief needs to be systemic. It will possibly’t cease on the information. It has to circulation by way of your entire lifecycle of selections, fashions, and automation. That’s the position of Energetic Metadata as a semantic layer: making that means machine-readable, making governance invisible, and serving to AI act with context and care.
And that’s why “Within the AI-native period, governance isn’t a blocker. It’s the unlock.”
BDW: What are you able to inform us about your self exterior of the skilled sphere – distinctive hobbies, favourite locations, and so forth.? Is there something about you that your colleagues could be shocked to be taught?
PS: I’m the one Prukalpa on this planet – actually. My mother and father say they considered web optimization earlier than Google existed, and truthfully… they weren’t incorrect.
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