Qrly vs Omni
Qrly is the self-hostable BI + AI platform Omni cannot be — Omni is cloud-only, with AI tied to its hosted product and no fully self-hosted option. Qrly ships natural-language Ask (NL→SQL), AI anomaly detection and BYO LLM (local Ollama / LM Studio or cloud Claude, Gemini, OpenAI, Azure) on your own infra, with embedded analytics, QQL across 12+ dialects and flat pricing for unlimited users.
Who wins where
No marketing fluff. Omni is a legitimate, very well-built BI product — here is where each tool is genuinely stronger.
BI + AI in one self-hosted platform — flat pricing
- AI Ask (NL→SQL) with AI anomaly detection & performance analyzer
- BYO LLM — local Ollama / LM Studio or cloud Claude, Gemini, OpenAI, Azure
- Embedded analytics with signed-JWT (Omni is cloud-only)
- Fully self-hostable on Linux, Kubernetes or air-gapped
- QQL across 12+ database dialects, OLAP star/snowflake models
- Multi-tenant from tenant to project, OIDC SSO, EU data residency
- Flat licence for unlimited users — no per-seat scaling
Core BI capabilities
- Both build questions in SQL and in a visual surface
- Both ship dashboards with filters and drill-down
- Both schedule and deliver reports on a timer
- Both query the cloud warehouse directly
- Both expose a REST API
- Both embed into another application
Bidirectional modelling and speed of authoring
- Bidirectional editing across SQL, spreadsheet and semantic model
- Built by people who built Looker, and the model shows it
- A spreadsheet layer analysts already know how to drive
- Nothing to install and nothing to operate
- Warehouse-native, with strong Snowflake and BigQuery support
Feature-by-feature comparison
The features most teams actually evaluate when moving off Omni — or picking between the two.
| Feature | RecommendedQrlySelf-hosted · Belgium | OmniModern BI |
|---|---|---|
| Self-hostable on your own infra | Included | Vendor-hosted; query execution can run in your cloud |
| Same saved question runs on 12 SQL dialects | Included | Warehouse-native; SQL per source |
| Built-in customer embed portal | Included | Embedded analytics available |
| Native Alert with auto-escalation | Included | Scheduled alerts |
| Native scheduled subscription (4 providers) | Included | Category standard |
| Visual query builder and raw SQL, round-trip convertible | SQL ⇄ visual | Bidirectional by design |
| Azure AD + Google + LDAP + Basic simultaneously | Included | SSO on paid tiers, no LDAP |
| OIDC SSO user provisioning | Included | Enterprise tier only |
| AI with on-prem option (Ollama, LM Studio) | Included | Cloud-hosted AI only |
| Multi-tenant architecture out of the box | Included | One hosted organisation |
| Connects to your existing warehouse on day 1 | 40 connectors | Warehouse-native |
| Flat pricing (unlimited users) | Included | Per-seat pricing |
| Productive in under 5 minutes | Included | Core yes, full config no |
| EU data residency (native, not a tier) | Included | Vendor-hosted; region by arrangement |
| No marketplace plugin required for basics | Included | No marketplace model |
| Dashboards, charts and geographic maps | Included | Dashboards included |
| REST API + webhooks | Included | Included |
| OLAP models with rollup and period-over-period | Included | Semantic model, no cube rollups |
Four reasons teams leave Omni
From real migration conversations with data and engineering leaders.
Everything has to be in the warehouse first
Omni is warehouse-native by design: it queries Snowflake, BigQuery, Databricks and their neighbours, which is a clean architecture when everything already lands there and a wall when it does not. The operational Postgres behind your product, the MySQL behind a legacy application, the SQL Server finance refuses to move — each needs a pipeline built and paid for before anyone can ask it a question.
Qrly compiles the same query document to 12 SQL dialects across 40 connection types, so a saved question runs unchanged whether the data sits in a warehouse or in the database it was written to. Every connection is read-only, every parameter is bound, and row caps, statement timeouts and concurrency limits are set per connection.
The bill grows with the audience
Omni is priced per seat. That is fine while BI belongs to a data team, and awkward the moment it should belong to everybody: the read-only account for a product manager, the executive who opens one dashboard a month, the support lead who wants the weekly trend — each is a line on the invoice, so each becomes a small negotiation. The predictable outcome is rationed access, screenshots pasted into chat, and shared logins.
Qrly is a flat annual licence tied to your company's revenue tier. The fifty-first user costs nothing and neither does the five-hundredth, and everything is included from day one: alerts, roles, audit log, SSO, OIDC, embedding, EU residency.
Your customers' data goes through someone else's cloud
If the dashboards are for your own customers rather than your own staff, a hosted-only BI tool changes the compliance conversation. Every embedded view means customer data leaving your infrastructure for a vendor's, another sub-processor on the DPA, and a residency answer you cannot give on your own authority.
Qrly embeds dashboards with a signed JWT and locked parameters from the installation you already run, inside your own perimeter. Multi-tenancy goes the whole way down — tenant, organisation, project, collection — so a reseller or a business unit is a real boundary rather than a filter applied at the end.
Regulated industries have no path
Omni is cloud-only. For government, defence, financial services and EU-data-sovereign customers, that is a hard stop. Even a European region, where a vendor offers one, is still a shared cloud you do not operate and cannot audit from the inside.
Qrly self-hosts as a single deployment on any Linux box or Kubernetes cluster. Your questions, your dashboards and your database credentials sit where your compliance team signs off — not in someone else's tenancy.
Pricing, honestly
Our own list price in full, and an honest account of how Omni 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.
Omni
Per user · quoted, not published · vendor-hosted
- How it charges Per user, on an annual agreement
- List prices Not published — quote only, see omni.co/pricing
- Deployment Omni-hosted; query execution can be kept in your own cloud
- Embedded analytics Its own commercial arrangement
- Warehouse compute Billed separately, by your cloud provider
- AI features Vendor-hosted models
Omni does not publish a price list, so the honest answer to “what does it cost?” is “book a call” — and the meter behind the answer is people. That is fine while BI belongs to a data team, and awkward the moment it should belong to everybody. Our number is on a public page, and it does not change when you add the hundredth reader.
Moving from Omni to Qrly
Most teams are up and running on Qrly within a working week.
The standard migration path
There is no record-level migration between BI tools. Both products read the same warehouse, so the move is a rebuild of the layer above it — and a shorter one than teams expect.
- Point Qrly at the same connections. Whatever Omni queries, Qrly queries — plus the operational databases Omni cannot reach. Connections are read-only, with per-connection row caps, statement timeouts and concurrency limits.
- Bring the SQL across. Paste a saved SELECT into a native question and Qrly reverse-engineers it into a visual definition — joins, filters, group by, having, order by with NULL ordering, limit and offset — flagging CTEs, UNION and subqueries as explicit lossy-feature warnings.
- Rebuild the model. Omni's semantic model becomes a Qrly OLAP model: fact table, dimension joins, a dimension and measure catalogue, named hierarchies, and always-applied model filters as a security boundary. Rollup, cube and grouping sets, a year-to-hour time hierarchy, prior-period and prior-year comparison and Top-N within group come with it.
- Rebuild dashboards, then wire the filters once. Cascade filters are authored at dashboard level and mapped per card in a card-by-filter matrix, with name matching guessing the obvious ones. Viewers supply a filter id and a value — never a column, never an operator.
- Cut over. Keep Omni live for 30 days while people rebuild the views they actually open, then let the subscription lapse at renewal. Nothing is trapped on either side — it was all in the warehouse the whole time.
Common questions
Can Qrly replace Omni?
How does Qrly's modelling layer compare to Omni's?
Can the AI run on our own hardware?
Can we embed dashboards in our own product?
Can Qrly import my Omni data?
How much is Qrly for 50 users over 3 years?
The full alternatives matrix
Evaluating Qrly against another tool? Jump to the detailed side-by-side.