Domo is cloud-only BI with credit-based pricing and no on-prem AI option — your prompts and data leave your perimeter by design. Qrly is BI + AI in one self-hostable platform: natural-language Ask (NL→SQL), AI anomaly detection and schema descriptions running on your choice of local LLM (Ollama, LM Studio) or cloud (Claude, Gemini, OpenAI, Azure), with flat pricing for unlimited users.
No marketing fluff. Here is where each tool is genuinely stronger.
The features most teams actually evaluate when weighing Domo against a self-hosted BI platform.
From real migration conversations with data and finance leaders.
Domo is brilliant at getting data in and putting a chart in front of somebody who will never write SQL — over a thousand connectors, Magic ETL, Beast Mode calculations, all inside one cloud. The cost is that the modelling ends up living there too. Beast Mode expressions, Magic ETL flows and DataSets are Domo artefacts: they do not compile to SQL you can read, review in a pull request, or take with you.
Qrly compiles every question to SQL for whichever of the 12 dialects your connection uses, and shows you that SQL. A flat SELECT converts back into the visual definition. The logic stays yours, in your warehouse, in a form another tool can read.
Domo prices on consumption credits, and credits are consumed by things a finance team cannot forecast: dataset refreshes, query volume, embedded views, AI features. Buyers routinely find the second-year bill bears little relation to the first, and that the only lever for reducing it is asking people to use the product less.
Qrly is a flat licence tied to your company's revenue tier. The 51st user costs nothing. Neither does the 501st, nor the dashboard that refreshes every minute.
Domo's model assumes the data lands in Domo. Connectors pull it in, Magic ETL transforms it there, and the cards read it there — which means a second copy of your warehouse, governed by a second set of rules, in somebody else's cloud, with its own refresh schedule to keep honest.
Qrly reads your database where it already is: read-only pooled connections, a SELECT-and-WITH-only sanitizer, per-statement timeouts and row caps. One copy of the data, governed once, queried in place.
Regulated teams who need to self-host, run AI on-prem, or keep every byte inside their own perimeter simply cannot use Domo. It is cloud-only by design: there is no on-premise deployment, and the AI features run in Domo's cloud, which means your prompts and your schema go there with them.
Qrly runs on your Linux box or Kubernetes cluster with on-prem AI via Ollama or LM Studio and EU data residency as a default, not an upsell.
Our own list price in full, and an honest account of how Domo charges. The Qrly column is the published schedule evaluated at €15M of revenue — the number of people using it does not move it.
Methodology, 28 August 2026. Qrly publishes a complete rate card, so the figures in our column are quoted exactly. The other column describes a pricing model rather than quoting a number: vendor list prices change without notice and several of these vendors do not publish one at all. For current figures, go to the vendor’s own pricing page.
Most teams are up and running on Qrly within a working week.
There is no honest one-click path out of Domo, and you should be suspicious of anyone offering one. The data behind every Domo card came from somewhere upstream — that source is what Qrly connects to.
For most reporting and operations work — yes, and on your own infrastructure. Domo is genuinely strong at the front of the pipeline: over a thousand connectors, Magic ETL for people who will never write SQL, and a polished consumer-grade UI that we will not pretend otherwise about. Qrly is honest about what it is — a BI platform over the warehouse you already have, with a visual query builder, OLAP models and AI, self-hosted. If your problem is getting data in from fifty SaaS products, Domo solves it; if your problem is querying and governing data that already lands somewhere, Qrly does.
Not as a one-click conversion, and nobody should promise you one. Domo cards are built on DataSets and Beast Mode calculations inside Domo's own cloud. The honest path is to point Qrly at the warehouse the data came from and rebuild the questions there — usually a day or two of work for the cards anybody actually opens. Beast Mode expressions map closely onto Qrly calculated fields: a SQL expression with a type hint, server-side validated, usable in filters, breakouts, having and order-by.
Qrly does not transform data — it reads it. That is a deliberate boundary: the SQL sanitizer accepts SELECT and WITH only, every connection is handed out read-only, and a separate expression sanitizer guards calculated fields. If Magic ETL is doing real pipeline work for you today, that work belongs in your warehouse or your existing transformation tool, and Qrly sits on top of the result with questions, OLAP models, dashboards, alerts and scheduled subscriptions.
No. Domo ships over a thousand connectors and that is a genuine advantage if your data lives in fifty SaaS products and nowhere else. Qrly has 40 connection types compiling to 12 SQL dialects — PostgreSQL, MySQL, MariaDB, SQL Server, BigQuery, Snowflake, Redshift and the rest — and is built for organisations whose data already lands in a warehouse or an operational database. If getting the data in is the hard problem, Domo solves it. If querying and governing what you already have is the hard problem, Qrly does.
Three reasons, all structural. Domo is cloud-only, so your data and your AI prompts leave your perimeter by design. Domo prices on consumption credits, which is notoriously hard to forecast — the bill moves with usage rather than with anything a finance team can budget, and reducing it means asking people to use the product less. And the modelling lives inside Domo: Beast Mode and Magic ETL do not travel. Qrly self-hosts, prices on revenue, runs AI on a local Ollama or LM Studio model if you want it to, and compiles every question to SQL you can read and take with you.
Qrly is priced on revenue, not seats: a €15M-revenue company pays €6,300 a year — €18,900 over three years — for unlimited everything, one organisation, one installation. Domo charges on consumption credits with user licensing alongside, and it quotes rather than publishes, so a three-year total for Domo is not something anyone outside a live sales cycle can state honestly — us included. The structural difference is that a credit meter goes up when people use the product, which is the behaviour you were hoping to encourage.
Self-hostable. Flat pricing. Embedded Analytics, Alert and QQL included. Made in Belgium.