Firms on the hunt for a enterprise intelligence or analytics device could have Domo on their quick record. However it might be a mistake to assume that the American Fork, Utah-based firm is just a BI device vendor. Actually, the corporate has a much wider portfolio that’s aimed toward serving to prospects leverage their information for analytic, operational, and AI wants, the corporate just lately informed us.
“It’s a fairly large false impression that Domo’s only a BI device or analytics device,” Domo Chief Income Officer RJ Tracy informed BigDATAwire ultimately 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 right now. Information warehousing was primarily an on-prem affair, and multi-million deployments usually resulted in failure.
That have led James–a 2021 Datanami Particular person to Watch–to attempt his hand at constructing a completely built-in analytics stack. Domo developed an analytics database, a knowledge integration device, and an ETL layer (together with a reverse ETL system to jot down information again into databases). The corporate constructed a no-code, low-code app growth platform, and naturally it additionally constructed a knowledge visualization layer to let customers work together with information.
Domo bought all of it as an built-in stack, and it resonated with prospects. 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 explanation everybody thinks we’re a BI device is as a result of we at all times type of wrapped it collectively and gave everybody the backend as a part of our platform,” Tracy mentioned. “However what we’ve achieved 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 high of a buyer’s information warehouse.”
Domo’s complete product stack right now runs atop cloud analytics databases from Snowflake, Databricks, Google Cloud, and Oracle, and it’s engaged on supporting further cloud information warehouses, equivalent to these from AWS, Microsoft Azure, Teradata, and Cloudera, based on Tracy. Domo can be growing help for storing information in Apache Iceberg, which is able to give prospects another choice, he mentioned.
Some prospects 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 device to construct embedded apps, whereas some will put it to use to energy chatbot or agentic AI functions through its integration with giant language fashions (LLMs) from OpenAI, Huggingface, IBM, Snowflake, and Databricks.
Domo CEO and Founder Josh James is a 2021 Datanami Particular person to Watch
Whereas it nonetheless helps a whole stack, prospects can decide and select which Domo parts they need, and Domo will slide proper into the prevailing surroundings, with a minimal of integration work, Tracy mentioned. The corporate is relying on this technique to assist bolster its fortunes within the age of AI.
“There’s plenty of distributors which have a full stack, however you continue to have to determine the way to combine all these stacks collectively, in plenty of instances,” he mentioned. “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 straightforward to make use of, with out requiring plenty of tedious growth and integration work, Tracy mentioned. The objective is to assist prospects clear up enterprise issues and get new apps into the palms of customers as rapidly as attainable.
Typically 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 software for a plumbing and heating firm that may robotically discover the technician who has the requisite expertise and availability to resolve buyer issues.
Domo constructed one other scheduling software for a safety firm that wanted to search out guards who had the correct safety clearances and met different vital parameters to employees federal workplace buildings. That software would in all probability have taken the shopper months to construct, however it took Domo simply three hours, Tracy mentioned.
“We constructed the answer for them as a result of we have already got the front-end piece to construct it,” he mentioned. “If over time they determine they need to use extra of Domo for extra issues, nice. But when not, we’re comfortable to play in that heart piece, too.”
Domo is constructing a popularity for growth instruments which are straightforward to work with and that prospects get pleasure from working with. Due to its flat licensing mannequin, it additionally helps to maintain prices low for purchasers, delivering a great return on funding (ROI), Tracy mentioned.
Domo now runs atop a number of platforms
“We earn money across the edges and let all of the compute go to those cloud warehouses that need the compute. That’s one big benefit that we’ve,” the CRO mentioned. “And we’re continuously profitable for ease-of-use, for person expertise. That basically issues while you count on your tradition to be one in every of curiosity, the place 5,000 folks need to 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 prospects. 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 varied parts and reaching out to customers
The corporate, which went public on the NASDAQ in 2018, right now has greater than 2,600 prospects, together with corporations like Disney, Yum Manufacturers, and Emerson, and it generated $317 million in fiscal 2025 income. Now it’s transferring past analytics into the world of AI, which is fixing issues that prospects couldn’t clear up by simply throwing extra folks at them, Tracy mentioned.
“We’re main first with AI and agentic options, and we’re seeing a reasonably excessive success price,” he mentioned. “I feel we’re very well positioned to assist prospects get worth from their information.”
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