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.
No marketing fluff. Omni is a legitimate, very well-built BI product — here is where each tool is genuinely stronger.
The features most teams actually evaluate when moving off Omni — or picking between the two.
From real migration conversations with data and engineering leaders.
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.
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.
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.
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.
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.
Most teams are up and running on Qrly within a working week.
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.
For most teams — yes. Qrly covers what Omni is used for day to day: connections to the warehouse, questions built visually or written in SQL, dashboards with cascade filters and live push, scheduled subscriptions, alerts and embedding. Omni's bidirectional editing across SQL, a spreadsheet layer and its semantic model is genuinely excellent, and Qrly has no spreadsheet layer — teams who live in that surface should weigh it properly rather than take our word for it. The difference that usually decides it is elsewhere: everything Omni runs in its own cloud, and Qrly runs in yours.
Omni's model is its strongest idea and we are not going to pretend otherwise: edit in SQL, in the spreadsheet layer or in the semantic model, and the change flows to the other two. Qrly's equivalent is narrower and differently shaped — a visual QQL query document compiled to 12 SQL dialects, SQL-to-visual reverse engineering for any flat SELECT, and OLAP star and snowflake models with a dimension and measure catalogue, named hierarchies and always-applied model filters as a security boundary. If a shared semantic model is the centre of your practice, evaluate both carefully. If running it on your own hardware matters more, there is only one answer.
Yes, and that is the point of it. Qrly's AI layer points at whichever model you configure — a local Ollama or LM Studio instance on your own GPU, or Claude, Gemini, OpenAI or Azure if you prefer a hosted one. It writes SQL from a plain-English question, explains an existing query, suggests calculated fields and narrates results. It is schema-only by default; letting a model see actual rows is an explicit per-connection opt-in, and there is a per-connection system prompt you control. Omni is a cloud service, so its AI is a cloud service too.
Yes, and it is in the base licence. Dashboards embed with a signed JWT carrying locked parameters, so an embedded view is scoped before it reaches the browser and each customer sees only their own slice. There is no separate embedded SKU, no per-portal fee and no OEM negotiation. Multi-tenancy runs the whole way down — tenant, organisation, project, collection — so a reseller or a business unit gets its own space rather than a filtered view of yours.
Not as records, and no BI vendor honestly can — dashboards and semantic models have no portable form between products. What makes it painless is that both tools read the same warehouse: point Qrly at the same connection and the tables are already there. Paste your saved SQL into native questions, and Qrly converts a flat SELECT into a visual definition covering joins, filters, group by, having, order by with NULL ordering and limit/offset, reporting CTEs, UNION and subqueries as explicit lossy-feature warnings rather than dropping them quietly. The model is rebuilt as a Qrly OLAP model.
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. Omni does not publish list prices, so there is no honest figure to set beside that — it is quoted per user, on an annual agreement. What you can compare before the call is the shape of the two models: their number moves when you add people, ours moves only when your turnover does.
Self-hostable. Flat pricing. Embedding, alerts and OLAP models in the base licence. Made in Belgium.