Qrly vs Domo
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.
Who wins where
No marketing fluff. Here is where each tool is genuinely stronger.
BI + AI in one self-hosted platform, flat pricing
- AI Ask (NL→SQL) included — Domo has no on-prem AI
- BYO LLM: local Ollama / LM Studio, or Claude / Gemini / OpenAI / Azure
- Embedded analytics with signed-JWT for unlimited customer tenants
- Self-hosting with EU data residency — Domo is cloud-only
- Flat license for unlimited users — no credit-based pricing
- AI anomaly detection, schema descriptions, performance analyzer built-in
Dashboards, integrations, delivery
- Both build dashboards from saved queries
- Both ship a REST API and webhooks
- Both alert and schedule delivery on results
- Both support SSO in some form
Data ingestion and no-code transformation
- Visual-first UI that non-technical teams love
- Over a thousand prebuilt data connectors
- Magic ETL transforms data without SQL
- An app and Brick framework for custom front-ends
Feature-by-feature comparison
The features most teams actually evaluate when weighing Domo against a self-hosted BI platform.
| Feature | RecommendedQrlySelf-hosted · Belgium | DomoDomo |
|---|---|---|
| Self-hostable on your own infra | Included | SaaS only |
| Modelling you can take with you | Included | Beast Mode lives inside Domo |
| Built-in customer embed portal | Included | Domo Everywhere, credit-metered |
| Native Alert with auto-escalation | Included | Alerts on cards, no escalation policy |
| Native scheduled subscription (4 providers) | Included | Scheduled report delivery |
| Visual query builder and raw SQL, round-trip convertible | SQL ⇄ visual | Beast Mode and Magic ETL, one-way |
| Azure AD + Google + LDAP + Basic simultaneously | Included | SAML SSO, cloud-managed |
| OIDC SSO user provisioning | Included | Cloud-managed only |
| AI with on-prem option (Ollama, LM Studio) | Included | Cloud AI only |
| Multi-tenant architecture out of the box | Included | One Domo instance per customer |
| Connects to your existing warehouse on day 1 | 40 connectors | 1,000+ connectors; data lands in Domo |
| Flat pricing (unlimited users) | Included | Consumption credits, hard to forecast |
| Productive in under 5 minutes | Included | Fast once the data is loaded |
| EU data residency (native, not a tier) | Included | Regional cloud, still Domo-hosted |
| No marketplace plugin required for basics | Included | Domo Appstore add-ons |
| Dashboards and shared reporting | Included | Included |
| REST API + webhooks | Included | Included |
| OLAP models with rollup and period-over-period | Included | Calculated fields, no OLAP cube |
| Markdown analysis reports with export | Analysis reports | Text cards on a dashboard |
Four reasons teams leave Domo
From real migration conversations with data and finance leaders.
Everything lives inside Domo
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.
Credit pricing you cannot forecast
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.
The data has to move to Domo
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.
The compliance ceiling
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.
Pricing, honestly
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.
Qrly
Annual licence · priced on your revenue · unlimited users, one organisation, one installation
- Annual licence at €15M revenue €6,300
- Per analyst / per viewer €0
- Per query, per credit, per capacity unit €0
- Embedded dashboard consumers €0
- Embedding, alerts, OIDC/SSO, row-level rules Included at every tier
- Self-hosting and bring-your-own LLM Included at every tier
Three years of licence: €18,900
That is our published schedule evaluated at €15M of revenue — 0.18% of the first €500k, then 0.12%, 0.0525% and 0.027% on each tranche above it. It does not move when you add users. The whole rate card, from the €900 floor upward, is on the pricing page.
Domo
Consumption credits, with user licensing alongside · Domo cloud only
- How it charges Consumption credits, with user licensing alongside
- What burns credits Queries, dataset refreshes, embedded views, AI
- Deployment Domo cloud only — no self-hosted edition
- Embedded analytics Domo Everywhere, on the same credit meter
- List prices Largely quoted — check domo.com/pricing
- Forecasting next year Depends on usage you cannot yet know
A consumption meter is the hardest kind of bill to budget for: the cost of a dashboard is a function of how often people open it, which is the one number that ought to be going up. We are not going to invent a three-year total for a model whose entire premise is that it varies — Domo quotes it, and the quote depends on your usage profile.
Moving from Domo to Qrly
Most teams are up and running on Qrly within a working week.
The standard migration path
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.
- Inventory the cards that matter. Most Domo instances hold several hundred cards and a few dozen anybody opens. Export the Beast Mode expressions and DataSet definitions behind those, and let the rest go.
- Connect Qrly to the upstream source. Whatever fed the DataSet — PostgreSQL, SQL Server, BigQuery, Snowflake, Redshift and 35 more connection types — Qrly reads it directly, through a read-only pooled user with a per-statement timeout and a max-row cap.
- Rebuild the questions. Beast Mode expressions become Qrly calculated fields — a SQL expression with a type hint, server-side validated, usable in filters, breakouts, having, order-by and aggregations. Most convert almost literally.
- Model once, reuse everywhere. Where a DataSet was doing the job of a star schema, define it as an OLAP model instead — fact table, dimension joins, named hierarchies, always-applied model filters as a security boundary — and rollup, period-over-period and Top-N come for free. Then point Qrly at your identity provider over OIDC.
- Run in parallel. Keep Domo live for one renewal cycle while the rebuilt dashboards prove themselves, then let the contract lapse. The questions you rebuilt compile to SQL you can read, so this is the last migration of this kind you have to do.
Common questions
Does Qrly replace Domo for non-technical teams?
Can Qrly import Domo dashboards?
What about Domo Magic ETL flows?
Does Qrly have Domo's connector library?
Why pick a self-hosted platform over Domo?
Cost for 50 users over 3 years?
The full alternatives matrix
Evaluating Qrly against another tool? Jump to the detailed side-by-side.