
Corporations on the hunt for a enterprise intelligence or analytics device could have Domo on their brief listing. However it might be a mistake to suppose that the American Fork, Utah-based firm is barely a BI device vendor. Actually, the corporate has a much wider portfolio that’s geared 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 finally 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 appeared a lot completely different than it does at the moment. Knowledge warehousing was primarily an on-prem affair, and multi-million deployments typically led to failure.
That have led James–a 2021 Datanami Particular person to Watch–to attempt his hand at constructing a totally built-in analytics stack. Domo developed an analytics database, an information integration device, 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 improvement platform, and naturally it additionally constructed an information visualization layer to let customers work together with information.
Domo offered all of it as an built-in stack, and it resonated with prospects. However as know-how improved, the necessity for a totally built-in stack lessened, and the corporate shifted technique a 12 months in the past in consequence.
“A part of the rationale everybody thinks we’re a BI device 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 mentioned. “However what we’ve accomplished this final 12 months is we’ve taken our again finish out, and now we will sit all of our different know-how on prime of a buyer’s information warehouse.”
Domo’s total product stack at the moment 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, in accordance with Tracy. Domo can also be creating 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 improvement device to construct embedded apps, whereas some will put it to use to energy chatbot or agentic AI purposes by way of its integration with massive language fashions (LLMs) from OpenAI, Huggingface, IBM, Snowflake, and Databricks.
Whereas it nonetheless helps a whole stack, prospects can decide and select which Domo elements they need, and Domo will slide proper into the present atmosphere, 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 quite a lot of distributors which have a full stack, however you continue to have to determine the best way to combine all these stacks collectively, in quite a lot of instances,” he mentioned. “Once 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 way in which 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 quite a lot of tedious improvement and integration work, Tracy mentioned. The purpose is to assist prospects remedy enterprise issues and get new apps into the arms of customers as rapidly as attainable.
Typically there’s no information analytics or dashboards concerned in any respect. For example, Domo used its low-code/no-code improvement 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 resolve buyer issues.
Domo constructed one other scheduling utility for a safety firm that wanted to seek out guards who had the correct safety clearances and met different important parameters to employees federal workplace buildings. That utility would most likely have taken the client months to construct, nevertheless 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 wish to use extra of Domo for extra issues, nice. But when not, we’re pleased to play in that heart piece, too.”
Domo is constructing a fame for improvement instruments which might be simple to work with and that prospects take pleasure in working with. Due to its flat licensing mannequin, it additionally helps to maintain prices low for purchasers, delivering return on funding (ROI), Tracy mentioned.
“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 now have,” the CRO mentioned. “And we’re consistently successful for ease-of-use, for consumer expertise. That basically issues while you anticipate your tradition to be one in every of curiosity, the place 5,000 individuals must 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 information flows among the many varied elements and reaching out to customers
The corporate, which went public on the NASDAQ in 2018, at the moment 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 remedy by simply throwing extra individuals 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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