Corporations on the hunt for a enterprise intelligence or analytics instrument could have Domo on their brief record. However it might be a mistake to suppose that the American Fork, Utah-based firm is just a BI instrument vendor. In actual fact, the corporate has a wider portfolio that’s aimed toward serving to clients leverage their knowledge for analytic, operational, and AI wants, the corporate 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 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 expertise panorama seemed a lot totally 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 Particular person to Watch–to strive his hand at constructing a completely built-in analytics stack. Domo developed an analytics database, a knowledge integration instrument, and an ETL layer (together with a reverse ETL system to put in writing knowledge again into databases). The corporate constructed a no-code, low-code app improvement platform, and naturally it additionally constructed a knowledge visualization layer to let customers work together with knowledge.
Domo offered all of it as an built-in stack, and it resonated with clients. However as expertise improved, the necessity for a completely built-in stack lessened, and the corporate shifted technique a 12 months in the past because of this.
“A part of the explanation everybody thinks we’re a BI instrument is as a result of we all the time sort 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 are able to sit all of our different expertise on prime of a buyer’s knowledge warehouse.”
Domo’s complete 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, reminiscent of these from AWS, Microsoft Azure, Teradata, and Cloudera, in accordance with Tracy. Domo can also be creating help for storing knowledge in Apache Iceberg, which can give clients another choice, he mentioned.
Some clients will purchase Domo only for knowledge visualization layer, or simply for the ETL and knowledge integration functionality. Some could 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 by way of 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 whole stack, clients 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 loads of distributors which have a full stack, however you continue to have to determine tips on how to combine all these stacks collectively, in loads 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 rather 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 simple to make use of, with out requiring loads of tedious improvement and integration work, Tracy mentioned. The aim is to assist clients resolve enterprise issues and get new apps into the arms of customers as rapidly as doable.
Generally there’s no knowledge analytics or dashboards concerned in any respect. As an example, Domo used its low-code/no-code improvement platform to create a scheduling utility for a plumbing and heating firm that may routinely discover the technician who has the requisite expertise and availability to resolve buyer issues.
Domo constructed one other scheduling utility for a safety firm that wanted to search out guards who had the right safety clearances and met different crucial parameters to employees federal workplace buildings. That utility would in all probability have taken the shopper 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 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 fame for improvement instruments which are simple to work with and that clients get pleasure from working with. Due to its flat licensing mannequin, it additionally helps to maintain prices low for patrons, delivering a very good return on funding (ROI), Tracy mentioned.
Domo now runs atop a number of platforms
“We generate income 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 have now,” the CRO mentioned. “And we’re consistently successful for ease-of-use, for person expertise. That basically issues whenever you count on your tradition to be one in all curiosity, the place 5,000 folks 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 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 parts 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 firms 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 resolve 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 rather well positioned to assist clients get worth from their knowledge.”
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