Corporations on the hunt for a enterprise intelligence or analytics instrument might have Domo on their brief checklist. However it will be a mistake to suppose that the American Fork, Utah-based firm is simply a BI instrument vendor. Actually, the corporate has a much wider portfolio that’s geared toward serving to prospects leverage their knowledge for analytic, operational, and AI wants, the corporate just lately instructed us.
“It’s a reasonably large false impression that Domo’s only a BI instrument or analytics instrument,” Domo Chief Income Officer RJ Tracy instructed 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 expertise panorama seemed a lot completely different than it does at present. Information warehousing was primarily an on-prem affair, and multi-million deployments usually led to 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, an information integration instrument, and an ETL layer (together with a reverse ETL system to jot down knowledge 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 knowledge.
Domo offered all of it as an built-in stack, and it resonated with prospects. However as expertise improved, the necessity for a completely built-in stack lessened, and the corporate shifted technique a yr in the past in consequence.
“A part of the explanation everybody thinks we’re a BI instrument is as a result of we all the time form of wrapped it collectively and gave everybody the backend as a part of our platform,” Tracy stated. “However what we’ve executed this final yr is we’ve taken our again finish out, and now we are able to sit all of our different expertise on prime of a buyer’s knowledge warehouse.”
Domo’s whole product stack at present runs atop cloud analytics databases from Snowflake, Databricks, Google Cloud, and Oracle, and it’s engaged on supporting further cloud knowledge warehouses, resembling these from AWS, Microsoft Azure, Teradata, and Cloudera, in accordance with Tracy. Domo can be creating assist for storing knowledge in Apache Iceberg, which is able to give prospects an alternative choice, he stated.
Some prospects will purchase Domo only for knowledge visualization layer, or simply for the ETL and knowledge integration functionality. Some might license Domo to make the most of its low-code/no-code improvement instrument to construct embedded apps, whereas some will put it to use to energy chatbot or agentic AI functions through its integration with massive 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 complete stack, prospects can decide 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 a whole lot of distributors which have a full stack, however you continue to have to determine learn how to combine all these stacks collectively, in a whole lot of instances,” he stated. “Whenever 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 knowledge 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 a whole lot of tedious improvement and integration work, Tracy stated. The purpose is to assist prospects clear up enterprise issues and get new apps into the palms of customers as shortly as doable.
Generally there’s no knowledge analytics or dashboards concerned in any respect. As an illustration, Domo used its low-code/no-code improvement 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 unravel buyer issues.
Domo constructed one other scheduling software for a safety firm that wanted to search out guards who had the right safety clearances and met different essential parameters to employees federal workplace buildings. That software would in all probability have taken the client months to construct, but it surely 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 resolve they wish to use extra of Domo for extra issues, nice. But when not, we’re completely satisfied to play in that heart piece, too.”
Domo is constructing a fame for improvement instruments which might be straightforward to work with and that prospects take pleasure in working with. Because of its flat licensing mannequin, it additionally helps to maintain prices low for patrons, delivering an excellent return on funding (ROI), Tracy stated.
Domo now runs atop a number of platforms
“We earn cash across the edges and let all of the compute go to those cloud warehouses that need the compute. That’s one big benefit that now we have,” the CRO stated. “And we’re consistently profitable for ease-of-use, for person expertise. That actually issues while you anticipate your tradition to be one among curiosity, the place 5,000 individuals 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 numerous elements and reaching out to customers
The corporate, which went public on the NASDAQ in 2018, at present 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 individuals at them, Tracy stated.
“We’re main first with AI and agentic options, and we’re seeing a reasonably excessive success charge,” he stated. “I feel we’re very well positioned to assist prospects get worth from their knowledge.”
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