Firms on the hunt for a enterprise intelligence or analytics software could have Domo on their brief checklist. However it will be a mistake to assume that the American Fork, Utah-based firm is just a BI software vendor. In actual fact, the corporate has a wider portfolio that’s aimed toward serving to clients leverage their information for analytic, operational, and AI wants, the corporate not too long ago informed us.
“It’s a reasonably large false impression that Domo’s only a BI software or analytics software,” Domo Chief Income Officer RJ Tracy informed BigDATAwire eventually month’s Snowflake Summit.
When Domo CEO Josh James (co-founder of Omniture, acquired in 2009 by Adobe for $1.8 billion) based Domo again in 2010, the analytics know-how panorama seemed a lot completely different than it does at present. Information warehousing was primarily an on-prem affair, and multi-million deployments typically led to failure.
That have led James–a 2021 Datanami Individual to Watch–to attempt his hand at constructing a completely built-in analytics stack. Domo developed an analytics database, an information integration software, and an ETL layer (together with a reverse ETL system to put in writing information again into databases). The corporate constructed a no-code, low-code app growth platform, and naturally it additionally constructed an information visualization layer to let customers work together with information.
Domo bought all of it as an built-in stack, and it resonated with clients. However as know-how improved, the necessity for a completely built-in stack lessened, and the corporate shifted technique a yr in the past because of this.
“A part of the rationale everybody thinks we’re a BI software is as a result of we at all times form of wrapped it collectively and gave everybody the backend as a part of our platform,” Tracy stated. “However what we’ve completed this final yr is we’ve taken our again finish out, and now we are able to sit all of our different know-how on prime of a buyer’s information warehouse.”
Domo’s total product stack at present runs atop cloud analytics databases from Snowflake, Databricks, Google Cloud, and Oracle, and it’s engaged on supporting extra cloud information warehouses, corresponding to these from AWS, Microsoft Azure, Teradata, and Cloudera, based on Tracy. Domo can also be creating assist for storing information in Apache Iceberg, which is able to give clients an alternative choice, he stated.
Some clients will purchase Domo only for information visualization layer, or simply for the ETL and information integration functionality. Some could license Domo to make the most of its low-code/no-code growth software to construct embedded apps, whereas some will put it to use to energy chatbot or agentic AI functions by way of its integration with giant language fashions (LLMs) from OpenAI, Huggingface, IBM, Snowflake, and Databricks.
Domo CEO and Founder Josh James is a 2021 Datanami Individual to Watch
Whereas it nonetheless helps a complete stack, clients can choose and select which Domo elements they need, and Domo will slide proper into the prevailing surroundings, with a minimal of integration work, Tracy stated. The corporate is relying on this technique to assist bolster its fortunes within the age of AI.
“There’s numerous distributors which have a full stack, however you continue to have to determine combine all these stacks collectively, in numerous instances,” he stated. “While you get into agentic options, lots of people need these embedded, they need them in actual time, and Domo simply does very well at serving, going from uncooked information all the best way to serving out these agentic options, proper the place the customers are.”
Domo strives to make its merchandise simple to make use of, with out requiring numerous tedious growth and integration work, Tracy stated. The objective is to assist clients clear up enterprise issues and get new apps into the palms of customers as shortly as doable.
Generally there’s no information analytics or dashboards concerned in any respect. As an illustration, Domo used its low-code/no-code growth platform to create a scheduling utility for a plumbing and heating firm that may mechanically discover the technician who has the requisite abilities and availability to unravel buyer issues.
Domo constructed one other scheduling utility for a safety firm that wanted to seek out guards who had the right safety clearances and met different essential parameters to workers federal workplace buildings. That utility would most likely have taken the client months to construct, however it took Domo simply three hours, Tracy stated.
“We constructed the answer for them as a result of we have already got the front-end piece to construct it,” he stated. “If over time they determine they need to use extra of Domo for extra issues, nice. But when not, we’re blissful to play in that middle piece, too.”
Domo is constructing a repute for growth instruments which can be simple to work with and that clients get pleasure from working with. Because of its flat licensing mannequin, it additionally helps to maintain prices low for purchasers, delivering a great return on funding (ROI), Tracy stated.
Domo now runs atop a number of platforms
“We become profitable across the edges and let all of the compute go to those cloud warehouses that need the compute. That’s one enormous benefit that we have now,” the CRO stated. “And we’re always profitable for ease-of-use, for person expertise. That actually issues while you count on your tradition to be considered one of curiosity, the place 5,000 folks should undertake it. We’ve prolonged capabilities out to customers that, frankly, haven’t had them.”
Because the agentic AI revolution heats up, Domo is hoping that its ease-of-use mantra resonates with clients. Its Agent Catalyst providing can run atop a number of cloud warehouses and faucet into the intelligence offered by a number of third-party LLMs. Domo will fortunately sit within the center, coordinating the info flows among the many numerous elements and reaching out to customers
The corporate, which went public on the NASDAQ in 2018, at present has greater than 2,600 clients, together with corporations like Disney, Yum Manufacturers, and Emerson, and it generated $317 million in fiscal 2025 income. Now it’s shifting past analytics into the world of AI, which is fixing issues that clients couldn’t clear up by simply throwing extra folks at them, Tracy stated.
“We’re main first with AI and agentic options, and we’re seeing a fairly excessive success charge,” he stated. “I believe we’re very well positioned to assist clients get worth from their information.”
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