The Dashboard Era Is Getting Disrupted
Domo built its reputation on the promise of beautiful, real-time dashboards that executives could actually use without a data team hovering nearby. For years, that pitch worked. Enterprises paid significant licensing fees for the visual layer Domo placed on top of their messy data stacks, and the company went public in 2018 on the strength of that story. But the market it helped define is now moving in a different direction – toward deeper, more flexible analytics infrastructure rather than polished front-end displays.
Omni, the San Francisco-based analytics startup founded by former Looker and Google engineers, is capitalizing on exactly that shift. Where Domo competes on aesthetics and accessibility, Omni is targeting the analytics base – the data teams, engineers, and analysts who build the systems that dashboards ultimately pull from. That positioning difference is starting to matter in ways Domo’s sales motion is not well equipped to answer.

What Domo Actually Sells – and Who Is Buying Less of It
Domo’s product has always been strongest at the executive and line-of-business layer. Its card-based dashboards, mobile app, and pre-built connectors made it attractive to companies that wanted fast time-to-insight without heavy SQL infrastructure underneath. That was a genuine competitive advantage when self-service BI was a novel concept and most enterprise data tools required dedicated engineering support to operate.
The problem is that the buyers Domo relied on have become more sophisticated. Data literacy across organizations has increased, and the average analytics buyer now has opinions about semantic layers, metric consistency, and SQL generation – concepts that sit well below Domo’s design-first interface. When those buyers evaluate tools, Domo’s depth at the infrastructure layer often falls short compared to what they now expect.
Domo’s financials reflect this pressure. The company has struggled to grow at the pace its 2018 IPO story implied, cycling through cost-cutting rounds and strategic repositioning. Its net revenue retention, a critical SaaS health metric indicating whether existing customers spend more over time, has been a consistent point of concern. Losing ground with the technical buyer is expensive precisely because those buyers influence renewal decisions more than any other stakeholder group.
Omni’s Bet on the Analytics Engineer
Omni’s product philosophy starts from the opposite end of the stack. Rather than wrapping a clean UI around a proprietary data store, Omni connects directly to a company’s existing data warehouse – Snowflake, BigQuery, Databricks – and gives analysts a unified environment where SQL, self-service exploration, and dashboard publishing all coexist. The semantic layer is shared, which means a metric defined once by an engineer stays consistent whether a data analyst is querying it in SQL or a marketing manager is pulling it into a report without writing a single line of code.
That architecture is not accidental. The founders came from Looker, which was acquired by Google for roughly $2.6 billion in 2019 and lost significant product velocity inside Google’s sprawling enterprise portfolio. Omni represents an attempt to build what Looker was before the acquisition slowed it down – but faster, more opinionated, and without the institutional drag. That background gives Omni instant credibility with the data engineering community Domo has historically underserved.

Where the Customer Overlap Gets Painful for Domo
The direct competitive overlap is not the entire enterprise, at least not yet. Omni’s current footprint skews toward growth-stage and mid-market companies with dedicated data teams – organizations where a data engineer or analytics engineer is already using dbt and wants their BI layer to reflect that same modern approach. These are exactly the accounts Domo chased aggressively during its growth phase, billing itself as the tool that could grow with a company from startup to enterprise.
When a company at that stage evaluates Domo against Omni today, the conversation shifts quickly. Domo’s strengths – mobile access, pre-built connectors, executive-friendly visualizations – are features the technical buyer often considers table stakes rather than differentiators. What Omni offers in return is a tighter relationship between the analytical model and the dashboard layer, which means less reconciliation work when a number in a slide doesn’t match a number in a report.
That reconciliation problem is one of the most persistent sources of organizational friction in data-driven companies. When two tools built on different definitions of the same metric produce different answers, it erodes trust in both. Omni’s shared semantic model is designed to eliminate that gap by construction rather than by governance process. Domo has no direct equivalent, and adding one retroactively would require significant architectural work that could conflict with the simplicity its core user experience depends on.
There is also a pricing dynamic worth examining. Domo’s licensing model has historically been oriented around user seats and data rows, a structure that made sense when cloud storage was expensive and BI tools needed to cache data internally. In a world where warehouses like Snowflake handle scale efficiently and storage costs have dropped, Domo’s pricing architecture can feel misaligned with how companies actually manage their data budgets. Omni’s warehouse-native model removes those friction points by design, which shortens procurement conversations that Domo often loses before the product demo even finishes.

Domo still has real advantages: a large installed base, name recognition in verticals like retail and healthcare, and a mobile-first experience that genuinely has no direct competitor at the same quality level. But the buyers who might have chosen Domo in 2019 because it was the best-looking option are now asking harder questions about what lives underneath the dashboard – and that is a question Omni was built to answer first.
Frequently Asked Questions
What makes Omni different from Domo?
Omni connects directly to existing data warehouses and uses a shared semantic layer, while Domo relies on its own data store and prioritizes visual dashboards over infrastructure depth.
Is Domo losing customers to Omni?
The competitive overlap is growing, particularly among mid-market companies with dedicated data teams who now prioritize warehouse-native tools over design-first BI platforms.









