Business Intelligence & Dashboards
Luzmo
EU-Made Report an error0–5 in half steps. 5 means the rubric's top anchor is met on the evidence.
by Luzmo NV · www.luzmo.com
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Luzmo at a glance
- Vendor
- Luzmo NV
- Headquarters
- Not stated on the vendor’s pages as of 1 Nov 2026
- Data hosting
- Not stated on the vendor’s pages as of 1 Nov 2026
- Free plan
- Not stated on the vendor’s pages as of 1 Nov 2026
- Starting price
- “Price Starting from €1,995 per month Billed annually” (vendor’s words) source, captured 1 Nov 2026
- Panel verdict
- The AI panel rates Luzmo 3/5, the mean of 6 judges. Luzmo, an embedded analytics platform from Luzmo NV in Belgium, scores highest where it pitches itself: sharing and embedding at 8-9, with server-side embed tokens applying per-viewer row-level filters to dashboards, the API and AI answers, multi-tenant isolation from one shared database to separate tenant databases, and white-label styling with React, Vue and Angular SDKs. how scores are made
- As of
- Vendor pages captured 1 Nov 2026; evaluated by the panel 1 Nov 2026. all sources
Read this page as one judge. Each weighs the same scores by what they care about.
The panel's verdict
Luzmo, an embedded analytics platform from Luzmo NV in Belgium, scores highest where it pitches itself: sharing and embedding at 8-9, with server-side embed tokens applying per-viewer row-level filters to dashboards, the API and AI answers, multi-tenant isolation from one shared database to separate tenant databases, and white-label styling with React, Vue and Angular SDKs. Dashboards and visualization and self-service and modelling sit at 6-7, built on 40-plus chart types and a semantic layer where each metric is defined once and natural-language questions resolve through a governed query engine. Data connectivity is the weakest criterion, with the widest spread, 4-6: the managing director, SaaS product lead and finance controller scored 4 and the others 6, because the captured pages name database and warehouse connectors but no accounting, ERP or CRM connectors, no stated refresh interval and no documented route to a database behind a firewall. Pricing transparency at 5-6 is capped by monthly-active-user rates agreed at signature and differing figures for the plan structure; sovereignty at 5-6 by AI features that send query results and row-level hierarchy data to OpenAI.
Speaks for it
- Server-side embed tokens apply per-viewer row-level filters to dashboards, the API and AI answers, on a criterion scored 8-9.
- Multi-tenant isolation is documented from a single multi-tenant database to multiple single-tenant databases with per-tenant credentials.
- Each metric lives in exactly one place as a formula, derived column or SQL view, and natural-language questions resolve through the same governed query engine rather than raw SQL.
- A Belgian contracting entity with EU hosting on AWS available by contract and subprocessor lists on a public trust portal.
- A public starting price of "Starting from €1,995 per month" billed annually, with 500 AI conversations and 100 million Warp rows per month included and a free 10-day trial.
Held against it
- Data connectivity scored 4-6, with no public information on accounting, ERP or CRM connectors, refresh intervals, or reaching a database behind a firewall.
- The full annual cost is not computable from public pages, as monthly-active-user rates are agreed at signature and the captured pages give different figures for the plan structure — one plan on the pricing page, four plans in the terms.
- The AI features send user input, dataset metadata, query results and row-level hierarchy data to OpenAI, which the pages state does not use the data for model training.
- EU and US hosting are presented as equal options without a statement of which region applies when a contract is silent.
- We found no public information on SCIM provisioning, column-level security or a self-hosted edition; private infrastructure and source-code escrow are offered as negotiated services.
Best for
- You are a SaaS product team embedding customer-facing dashboards under your own brand, with tenant isolation from a shared or single-tenant database.
- You want each metric defined once and served identically to dashboards, the API and AI answers.
- Your sources are databases and warehouses such as PostgreSQL, SQL Server, Snowflake, BigQuery or Databricks, and your developers can build other sources as plugins.
- You need a Belgian contracting entity with EU hosting on AWS available by contract.
Avoid if
- Your accounting, ERP or CRM system is the primary data source and building a custom plugin is not an option for your team.
- You must be able to compute the full annual cost, including per-user embedding costs, before signature.
- Your auditors cannot approve row-level hierarchy data and query results going to OpenAI for AI answers.
- You need the software running on your own servers: the documented dedicated cloud runs on AWS, Azure or GCP, and private infrastructure appears as an adapted service.
The scores
| Criterion | Panel median |
|---|---|
| Data sources, connectors & refresh | 2.5 of 5 |
| Dashboards, charts & interactivity | 3.5 of 5 |
| Self-service analysis & shared metrics | 3 of 5 |
| Sharing, scheduled reports & embedding | 4 of 5 |
| Access control, administration & portability | 3 of 5 |
| European sovereignty | 3 of 5 |
| Pricing transparency | 2.5 of 5 |
Data sources, connectors & refresh
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How this is scored
Which data the product can reach and how it stays current: native connectors to databases and warehouses (PostgreSQL, MySQL, SQL Server, BigQuery, Snowflake), to business applications (accounting, ERP, CRM, shop, help desk, ad platforms) and to files and spreadsheets (Excel, CSV, Google Sheets), live queries versus imported extracts, scheduled and incremental refresh with its minimum interval, joining data from several sources, light data preparation, access to databases behind a firewall (gateway, SSH tunnel, IP allow-list), and a generic REST or custom connector for what is not listed.
0 — Not a reporting product, or data can only be typed or pasted in by hand.
3 — Spreadsheet and file uploads plus a handful of named connectors; refresh schedules, live queries and blending sources are basic or not described.
5 — A published connector list covering the common databases, warehouses, spreadsheets and several named business applications, scheduled refresh with its interval stated, live queries or extracts at the customer's choice, data from two sources combined in one report, and a documented way to reach a database behind a firewall.
8 — Hundreds of maintained connectors or a full SQL layer over every major warehouse, incremental refresh and caching explained, a built-in data preparation or modelling step, a gateway or agent for on-premise sources, a generic REST or custom connector SDK, and connector limits (rows, API calls, history) stated per plan.
10 — Connectivity an organisation can standardise on: every source reachable live or by extract with the trade-offs documented, refresh down to minutes with lineage from report back to source, source changes detected and reported, and connector behaviour, quotas and failure handling published.
The Finance Controller
Live, real-time connectors for PostgreSQL, MySQL and SQL Server plus built-in plugins for Oracle, Snowflake, BigQuery, Clickhouse and more cover the database side, with local upload of CSV, XLS, ODS and JSON, Google Drive, API push and a documented plugin path for anything custom. For my monthly close the gaps bite: I found no public information on connectors to accounting, ERP or CRM systems, on a scheduled data-refresh interval, or on reaching a database behind our firewall. The plugin architecture would be my only route to DATEV and the ERP. 4 10 11 17 2
The Managing Director
Live connections to PostgreSQL and SQL Server, plugin connectors reaching BigQuery, Snowflake, Databricks, MongoDB and more, file upload for CSV, Excel and JSON, plus a flexible plugin route for anything else — good coverage of databases and warehouses, but aimed at a developer rather than a ready-made afternoon. I found no named connector for a CRM, an accounting package, a help desk or a project management app, no public information on refresh schedules and their intervals, and no public information on reaching a database behind our firewall. 4 10 11 17 2
The Data Analyst
Live connectors to PostgreSQL and SQL Server, plugin coverage of BigQuery, Snowflake, Databricks, Athena, Clickhouse, MongoDB, Oracle and Elasticsearch, plus file upload (CSV, XLS, ODS, JSON, GeoJSON), Google Drive, direct API push, and a plugin architecture the vendor says can support any data setup — with Warp acceleration and caching described. For my nightly PostgreSQL warehouse the live connection is real. But I found no public information on scheduled or incremental data refresh intervals, on reaching databases behind a firewall, or on connectors to business applications beyond Google Drive. 4 10 11 17 14 2
The IT Administrator
Live connectors for PostgreSQL and SQL Server (with MySQL named as a standard connector) plus built-in plugins for BigQuery, Snowflake, Databricks and Oracle cover the databases and warehouses I would point at, and file upload, API push, a documented plugin adapter and a Rust query push-down layer with a stated monthly row quota give me confidence in the breadth. We found no public information on reaching a database behind our firewall — gateways, SSH tunnels or IP allow-lists — nor a stated data refresh interval or named ERP, CRM or accounting connectors. For a tool that would touch our ERP database, that gap is what worries me. 2 4 10 11 14 17
The SaaS Product Lead
Live connectors to PostgreSQL, SQL Server, MySQL and Trino are documented, plugin connections reach Snowflake, BigQuery, Databricks and others, and the plugin architecture plus API push cover custom sources — enough to reach our fleet database. We found no public information on scheduled refresh intervals, combining sources in one report, or a documented route to a database behind a firewall. 4 10 11 17 14
The Skeptic
Live connectors to PostgreSQL, MySQL and SQL Server are documented, a named plugin set reaches Athena, BigQuery, Clickhouse, Databricks, Oracle and Snowflake, local file upload and Google Drive cover files, and a generic REST plugin plus API push and a Warp acceleration layer (100 million synced rows monthly, stated overage rate) cover the rest. But we found no public information on a gateway, SSH tunnel or allow-list for databases behind a firewall, no refresh interval for synced data, and no connectors to business applications such as accounting, ERP or CRM appear on the captured pages. 4 10 11 17 14 5 2
Dashboards, charts & interactivity
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How this is scored
What can be built and how readers use it: the range of chart types, tables and pivot tables, maps, KPI tiles with targets and comparisons, dashboard layout, filters and date controls that apply across a dashboard, drill-down and drill-through, cross-filtering by clicking a chart, templates for common sources, mobile and TV display, theming to the company's design, number formatting and localisation (decimal comma, currencies, German date formats), and accessibility of the result.
0 — No charts or dashboards; the product only stores or moves data.
3 — Standard bar, line and pie charts and a table on a dashboard; filters, drill-down and mobile display are basic or not described.
5 — A broad chart library with pivot tables, maps and KPI tiles with comparison to a previous period or target, dashboard-wide filters and date ranges, drill-down, templates for common sources, a mobile view, and number and date formats localised.
8 — Cross-filtering and drill-through between dashboards, custom visuals or a chart SDK, conditional formatting and annotations, dashboards themed to a brand, TV and presentation modes, pixel-exact or paginated reports for print, and accessibility of charts documented.
10 — Dashboards that a whole organisation reads daily: every interaction (filter, drill, cross-filter, parameter) available to readers without editor rights, performance on large data stated, accessibility conformance (WCAG) published, and every chart reproducible from a documented query.
The Finance Controller
Forty-plus chart types plus the option to design my own, drill-down, cross-chart filtering and a filter builder with nested AND/OR groups give the numbers people room to work, and custom themes, CSS injection, multilingual dashboards and multi-currency, multi-timezone handling would fit our group presentation. I found no public information on pivot tables, maps, KPI tiles with prior-period or target comparison, or paginated reports that print cleanly — for the advisory board only PDF and image export are documented. Dashboards are said to be optimised for different devices; accessibility is not described. 2 12 13 8
The Managing Director
Forty-plus chart types or charts I design myself, drag-and-drop building, drill-down and cross-chart filtering, custom themes with CSS injection, dashboards optimised for different devices, and multilingual, multi-timezone, multi-currency handling — that covers the office screen and the phone. I found no public information on maps, pivot tables, KPI tiles with targets, or accessibility of the finished dashboards. 2 11 12 13
The Data Analyst
Forty-plus chart types with custom charts, a drag-and-drop builder, drill-down and cross-chart filtering, custom themes with CSS injection, multilingual dashboards, multi-timezone and multi-currency handling, and a filters component where end users build AND/OR filter groups. I found no public information on maps, KPI tiles with target comparisons, conditional formatting, TV or print modes, or the accessibility of charts. 2 12 13 8
The IT Administrator
Forty-plus chart types with the option to design custom ones, cross-chart filtering, drill-down, dashboard-wide filter groups with AND/OR logic, device-optimised layouts, custom themes with CSS injection, and multilingual, multi-currency and multi-timezone handling cover what our readers need day to day. We found no public information on maps, pivot tables, KPI tiles against targets, TV or print layouts, or the accessibility of the resulting charts. 2 8 11 12 13
The SaaS Product Lead
Forty-plus chart types, custom charts, a code-first Flex SDK, drill-down, cross-chart filtering, device-optimised layouts, custom themes with CSS injection, and multilingual, multi-currency, multi-timezone handling cover most of what our customers need under our brand. We found no public information on pivot tables, maps, KPI tiles with target comparisons, drill-through between dashboards, or accessibility of the charts. 2 12 13 11
The Skeptic
Forty-plus chart types with custom charts and a code-first SDK, drill-down, cross-chart filtering and an embeddable filter component with nested AND/OR groups are all documented, alongside white-label themes, CSS injection, multilingual dashboards, multi-timezone and multi-currency handling, and layouts optimised for different devices. We found no public information on pivot tables, maps, KPI tiles with targets, or accessibility conformance, so we credit strong interactivity but not the full chart range. 2 12 13 6 11 15
Self-service analysis & shared metrics
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How this is scored
Whether people outside the data team can answer their own questions and whether everyone gets the same answer: a visual query builder, a SQL editor for analysts, calculated fields and formulas, a semantic layer or data model where metrics such as revenue or churn are defined once and reused, metric definitions under version control (Git, dbt integration), questions in natural language with the generated query shown, forecasting and anomaly detection with the method stated, and notebooks or Python for deeper analysis.
0 — Dashboards can only be viewed; no one can ask a new question of the data.
3 — Charts are configured from a field list and simple calculated fields; shared metric definitions, SQL and a query builder are basic or not described.
5 — A visual query builder for business users and a SQL editor for analysts, calculated fields and formulas, saved questions reused across dashboards, a data model or dataset layer where joins and metrics are defined once, and natural-language questions that show the query they ran.
8 — A semantic layer with governed metrics and dimensions reused across every report, definitions in code under Git version control or synced with dbt, certified or endorsed datasets, forecasting and anomaly detection with the method stated, and Python or notebook analysis beside the dashboards.
10 — Self-service that stays consistent at scale: every metric defined once and traced to every chart that uses it, changes reviewed and tested before they reach readers, AI answers grounded in the semantic layer with their limits documented, and the model exportable in an open format.
The Finance Controller
The semantic layer is what I ask for first: a metric lives in exactly one place, as a formula, a derived column or a SQL view, and the same governed definitions are served to dashboards, the API and the AI answers, so contribution margin would be identical on every page. Natural-language questions run through Luzmo's own query engine rather than free SQL, users can view and edit how charts are built, and definitions can be maintained programmatically. But there is no dbt or Cube connector, the AI assistant cannot do trend predictions, and I found no public information on Git versioning or notebooks, so metric changes would not go through review like code. 14 3 15
The Managing Director
This is where the product makes sense to a non-data person: a metric lives in exactly one place as a formula, a derived column or a SQL view, and the same governed definition drives dashboards, the API and the AI answers — the model never writes raw SQL against the database. Anyone can ask questions in plain language and see and edit how the chart behind an answer is built; the pages do say trend predictions cannot be answered, and I found no public information on Git-versioned definitions or Python analysis. 14 3
The Data Analyst
Close to what I need: a metric lives in exactly one place as a formula, derived column or SQL view, natural-language questions resolve through the same query engine rather than freeform LLM SQL with permission enforcement, users can view and edit how charts are built, and definitions can be created and maintained programmatically. But the captured pages state plainly there is no dbt or Cube connector and that Luzmo IQ cannot do trend predictions, and I found no public information on a Git workflow, a visual query builder for colleagues, a dedicated SQL editor, or notebook and Python analysis. 3 14 5 15
The IT Administrator
Metrics are defined once in a semantic layer as formulas, derived columns or SQL views and reused everywhere, definitions can be created and maintained programmatically, and natural-language questions resolve through the governed query engine that applies viewer permissions — the captured pages state the model never writes raw SQL against the database. End users get an embedded editor for self-service. The captured pages also state there is no dbt or Cube connector and that trend predictions are not supported, and we found no public information on Git versioning of metric definitions, certified datasets, or Python and notebook analysis. 3 5 6 14 15
The SaaS Product Lead
The semantic layer story is explicit — a metric lives in exactly one place as a formula, derived column or SQL view — and natural-language questions resolve through the same query engine with the viewer's permissions, with stated limits such as no trend predictions; an embedded dashboard editor gives our customers' end users self-service without a ticket. We found no public information on Git or dbt-managed definitions, certified datasets, or notebook and Python analysis. 14 3 5 6
The Skeptic
This is where I usually find the fine print, and here it is mostly absent: a semantic layer where a metric lives in exactly one place as a formula, derived column or SQL view, natural-language questions resolved through the same query engine that never writes raw SQL against the database, permissions applied identically to AI answers, and definitions creatable and maintainable programmatically. The vendor is unusually honest that trend predictions are not supported; we found no public information on Git or dbt synchronisation, certified datasets, or Python notebooks. 14 3 1 5
Sharing, scheduled reports & embedding
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How this is scored
How results reach the people who need them: sharing a dashboard with colleagues and with external parties, public or password-protected links, scheduled reports by email or chat (Slack, Microsoft Teams) as PDF, image or data, threshold alerts, comments and annotations, export to PDF, PowerPoint and Excel, embedding dashboards in an intranet, a website or the company's own software product, white-label options, and per-customer data separation for embedded use.
0 — Results cannot leave the editor; no sharing, export or embedding.
3 — Dashboards shared with other users of the account and exported to PDF or CSV; scheduled reports, alerts and embedding are basic or not described.
5 — Sharing with colleagues and by link, scheduled email reports with PDF or image, alerts when a metric crosses a threshold, export to PDF and Excel, and dashboards embedded in a website or intranet with an iframe or script.
8 — Reports delivered to Slack or Microsoft Teams, comments and annotations on dashboards, signed embedding with row-level filtering per viewer, an embedding SDK for a software product with white-label styling, client or guest portals, and an embedding licence model documented.
10 — Distribution as a product: multi-tenant embedded analytics with per-customer data isolation, theming and custom domains, end-user self-service inside the host application, every delivery channel automatable through an API, and usage of shared and embedded content reported to the customer.
The Finance Controller
This is the strongest area: server-side embed tokens with row-level filtering per viewer, multi-tenant setups from one shared database down to per-tenant databases, white-label styling, SDKs for React, Vue and Angular, dashboard commenting, private-url shares, and an export API that emails a scheduled PDF. End users get self-service inside the host application, and tenant-scoped credentials keep each customer's data separate. Delivery into Slack exists only as AI-question workflows built through the API, and I found no public information on export to Excel or PowerPoint or on public links. 6 17 16 2 5
The Managing Director
Distribution is genuinely strong: server-side embed tokens with row-level filters per viewer, SDKs for React, Vue and Angular, white-label theming, private URL shares, PDF and image export, dashboard commenting, and a scheduled email export documented through the export API with a worked daily PDF example. Delivery to Slack appears only as AI-powered workflows rather than scheduled reports, and I found no public information on custom domains or reporting on how shared and embedded content is used. 2 16 6 8 3 17
The Data Analyst
This is clearly the product's centre: server-side embed tokens scope each viewer's rows, permissions apply identically to dashboards, the API and AI answers, white-label themes with CSS injection, an embedded dashboard editor for end-user self-service inside the host application, commenting and notifications, private-url shares, alerting, and scheduled email PDF exports drivable through the export API — with multi-tenant isolation documented from one shared database to many single-tenant ones. I found no public information on custom domains, and delivery to Slack is possible only by building workflows through the API rather than as a native channel. 6 17 16 2 8 3
The IT Administrator
This is what the product is built for: server-side signed embed tokens scope every viewer to their own rows on dashboards, the API and AI answers alike, tenant isolation runs from a single multi-tenant database to separate single-tenant databases with per-tenant credentials, and there are SDKs for React, Vue and Angular, iframes, white-label theming, an embedded editor for end users, comments, alerts and scheduled email PDF exports configurable to the minute through the export API. Slack appears as an AI question-answering workflow through the API rather than a documented channel for scheduled report delivery. Embedding is licensed on monthly active users, with the definition published but the rate agreed at signature. 2 3 5 6 16 17
The SaaS Product Lead
This is what we came for and the evidence runs deep: server-side embed tokens scoped per viewer, dataset-level embed filters an embed user cannot remove, connection overrides for tenant-scoped database credentials across multi-tenant or single-tenant setups, tenant scope enforced on every surface including AI answers, white-label theming, an embedding clause in the terms, commenting, alerting, and a scheduled PDF email export through the API. Only a couple of top-end pieces — custom domains and usage reporting back to us — have no public information. 6 17 14 8 2 16
The Skeptic
Scheduled PDF email exports run through a documented export API with the schedule interval in minutes, alerting, PDF/image export, commenting and private-url shares are all named, and embedding via iframe or web component with server-side tokens, per-viewer row-level filters and white-label styling is the product's core pitch, licensed on a defined monthly active user metric. We found no public information on scheduled report delivery to Slack or Microsoft Teams as such, or on usage reporting of shared and embedded content back to the customer. 16 2 6 17 8 5
Access control, administration & portability
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How this is scored
What a company needs before it gives the tool to everyone, and what leaving would cost: roles and folder or workspace permissions, row-level and column-level security, single sign-on (SAML, OpenID Connect) and user provisioning (SCIM), audit logs and usage analytics, content certification and lifecycle, environments for development and production, a public REST API for administration and content, export of dashboards and definitions in a reusable format, open-source code, and a self-hosted or on-premise edition the customer runs on its own servers.
0 — A single shared login with no permissions; dashboards cannot be exported or administered.
3 — Users with view and edit rights; row-level security, single sign-on, an API and export of definitions are basic or not described.
5 — Roles and folder or workspace permissions, row-level security documented, single sign-on on at least one stated plan, an audit log, a documented REST API, and dashboards and data exportable on termination.
8 — Column-level security and data permissions inherited from the source, SAML and SCIM provisioning, usage analytics for admins, development and production environments or content promotion, dashboards and definitions as code that can be versioned and moved, and a self-hosted or on-premise edition with its own documentation.
10 — Governance and an exit that can be verified: open-source code under a named licence that runs fully self-hosted with feature parity stated, every object (data model, dashboards, permissions) exportable in a documented format another instance imports, audit logs streamed to the customer's own systems, and deletion of every copy on termination documented.
The Finance Controller
Role-based permissions, row-level security, single sign-on over OpenID Connect managed through the API, audit logs, version history with multi-environment publishing and a fully documented REST API give me the administrative basics before rolling it out. I found no public information on SCIM provisioning, column-level security or a self-hosted edition — private infrastructure and source-code escrow are offered as adaptations, not as an edition I run myself. The terms confirm our data remains our property, and definitions that can be created and maintained programmatically soften a later exit. 2 19 18 5 14
The Managing Director
Before I hand this to forty people I want roles, row-level security, single sign-on and an API — all documented, with OIDC configurable through the API, version history and multi-environment publishing, and dashboards and definitions maintainable programmatically so nothing is trapped in a vendor tool. I found no public information on column-level security, SCIM provisioning or audit logs for our own administrators, and no documented self-hosted edition — private infrastructure and source-code escrow appear as optional services. 2 19 6 14 5 18
The Data Analyst
Role-based permissions, row-level security, an access control layer, SSO over OIDC configurable through the API, version history with multi-environment publishing, a documented REST API, an export endpoint, audit logs mentioned alongside tenant isolation, SOC 2 Type II plus ISO 27001-certified data centers, and the customer keeps ownership of their data. I found no public information on column-level security, SCIM provisioning, SAML, admin-facing usage analytics, or a self-hosted edition — dedicated cloud on AWS, Azure or GCP is offered, but that is still the vendor's cloud. 2 19 18 14 6 8 9
The IT Administrator
Role-based permissions, deeply documented row-level security (dataset-level embed filters users cannot remove, parameter overrides, tenant-scoped credentials), OpenID Connect single sign-on managed through the API with email/password login able to be disabled, and version history with multi-environment publishing cover most of what I check before rollout. We found no public information on column-level security, SCIM user provisioning or an admin-facing audit log beyond a passing mention alongside HIPAA workflows. We also found no public information on a self-hosted edition — private infrastructure and source-code escrow are offered as negotiated services rather than an option I could run on our own servers. 2 5 14 17 18 19
The SaaS Product Lead
Row-level security, role-based permissions, an OpenID Connect SSO configuration manageable via the API, version history with multi-environment publishing, programmatically maintained definitions and a documented REST API cover the admin basics, and private infrastructure with source-code escrow is offered as an adapted deployment. We found no public information on SCIM provisioning, column-level security, a detailed audit log, or export of dashboards in a reusable format, so the exit story is thin. 2 19 14 9 5 18
The Skeptic
Roles, row-level security, an OpenID Connect SSO configuration with a verification flag, quarterly-audited access control, a documented REST API over every entity, version history with multi-environment publishing, and CI/CD-friendly definitions consumable from outside the product make a serious administrative surface. But we found no public information on SCIM provisioning, SAML, column-level security, admin usage analytics, or a self-hosted edition — private infrastructure and source-code escrow are sold as services — and export of dashboards on termination is not documented beyond the GDPR personal-data copy. 2 19 6 14 18 5 9
European sovereignty
panel opinion
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How this is scored
Who the contracting entity and the parent company are, where the connected business data is queried, cached, extracted and stored, and who the subprocessors are (hosting, query engine, AI model providers, email delivery of reports, support and payment tools). Independently sourced by the sovereignty pipeline; a BI tool reads revenue, customer and employee data from many systems, so every place a copy or cache lands counts, not only the account database. A self-hosted or open-source edition the customer runs on its own European servers counts as the customer's chain, whatever the vendor's seat.
0 — Non-EU vendor and contracting entity, hosting unstated, subprocessors unnamed, and no data processing agreement offered.
3 — A privacy policy and a data processing agreement exist, but hosting location is unstated or non-EU and the subprocessors are not listed.
5 — EU hosting available and an EU contracting entity or EU representative, but parts of the chain (query engine, extracts and caches, AI features, report emails, support, payment) run through non-EU providers without a stated safeguard.
8 — EU hosting on named infrastructure, EU contracting entity, subprocessors listed with their locations, a data processing agreement published, where extracts and caches are stored stated, and security certifications (ISO 27001, SOC 2) stated — or a self-hosted edition documented that keeps every query and cache on the customer's own servers.
10 — Sovereign end to end and evidenced: European ownership, entity, hosting and every subprocessor including AI features, or a self-hosted open-source edition with no call home, data export and deletion documented, and certifications published with their scope rather than implied.
The Finance Controller
Luzmo NV of Leuven is the contracting entity, EU hosting on AWS is contractually available, a data processing agreement forms part of the contract stack, sub-processor lists sit on the trust portal, and SOC 2 Type II with ISO 27001-certified data centres is stated. Two things keep me careful: EU and US are presented as equal hosting options with a worldwide dedicated cloud besides, and I found no statement of which region applies when a contract is silent. The AI features send row-level data of hierarchy columns to OpenAI — not used for training, and embeddings are optional — but that is a non-European leg my auditors would have to approve. 18 9 8 3
The Managing Director
A Belgian company with EU hosting on AWS, a data processing agreement in the contract set, SOC 2 Type II and ISO27001-certified data centres, and transfers outside the EEA only under safeguards such as standard clauses — that reassures me. But the pages present EU and US as equal options without saying which applies when the contract is silent, the AI assistant sends hierarchy column data and question inputs to OpenAI, and sub-processor lists sit behind a trust portal rather than named with their locations where I could read them. 9 18 7 3 8
The Data Analyst
The vendor is Luzmo NV, described as made in Belgium and the United States, with EU multi-tenant AWS hosting available and residency set by contract, a data processing agreement named as an agreement component, transfers outside the EEA only under adequacy decisions or standard contractual clauses, and SOC 2 plus ISO 27001 stated. But the AI chain runs on OpenAI today, with row-level hierarchy data sent there for embeddings; subprocessor lists sit behind a trust portal without locations on the captured pages; and the pages present EU and US as equal contractual options without ever stating which region applies when a contract is silent. 9 18 7 3 8
The IT Administrator
EU hosting on named AWS infrastructure is available, Luzmo NV contracts from Belgium with a data processing agreement, SOC 2 Type II and ISO 27001-certified data centres are stated, and sub-processor lists are published on a trust portal. But the captured pages present EU and US hosting as equal options without saying which applies when a contract is silent, we found no public information on where extracts and caches from the data acceleration layer are stored, and the AI features send hierarchy row-level data and aggregated query results to OpenAI in the United States with only a general standard-clauses safeguard. For reports touching customer, pricing and employee data, only part of that chain is visible. 3 7 8 9 18
The SaaS Product Lead
EU hosting on named AWS infrastructure, Luzmo NV named in the footer with a "Made in Belgium & United States" note, a data processing agreement in the contract structure, SOC 2 Type II and ISO 27001-certified data centres stated, and OpenAI's role disclosed down to which data is sent for embeddings and answers, with contractual safeguards and standard clauses for transfers outside the EEA. The default region when a contract is silent, where extracts and caches land, and the subprocessors' locations are not public — the list is said to live on the trust portal. 9 18 7 8 3
The Skeptic
Luzmo NV is a Belgian company, EU AWS hosting is contractually available, transfers outside the EEA are governed by standard data protection clauses, ISO 27001-certified data centers and SOC 2 Type II are stated, and subprocessor lists sit on a public trust portal — a genuinely European seat. The chain still runs through the United States: user input, dataset metadata, query results and row-level hierarchy data go to OpenAI for AI answers and embeddings, the captured pages never state which region applies when a contract is silent, and we found no public information on where extracts and caches are stored, with the data processing agreement named in the contract stack but not shown published. 18 9 7 3 8 11
Pricing transparency
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How this is scored
Whether a buyer can compute the real annual cost from public pages alone: price per creator or editor seat and whether viewers are free or paid, capacity or usage pricing (rows, refreshes, queries, AI credits), which features (row-level security, SSO, embedding, API, more connectors, faster refresh) sit behind a higher tier or "contact sales", the price of embedding for external users, the self-hosted edition's licence, the free tier and its limits, minimum term and setup.
0 — No public prices at all; every customer is a sales call.
3 — A starting price or a free tier exists, but how cost scales with viewers, data volume or features is unclear.
5 — Tiers are public with their seat price and main inclusions, but at least one commonly needed piece (viewer seats, row-level security, SSO, embedding, extra connectors or refresh frequency) is unpriced or "on request".
8 — Every tier priced publicly with its scaling rule (creators, viewers, capacity, rows), viewer pricing stated, add-ons and usage overage priced, embedded and self-hosted pricing stated, minimum term and VAT treatment stated.
10 — Complete price computability: annual cost derivable for a given number of creators and viewers, data volume and feature set, with every add-on, embedding, setup, support and overage fee and the cancellation and data-return terms published.
The Finance Controller
Unusually concrete on usage: from €1,995 per month, billed annually, with 500 AI conversations and 100 million Warp rows included, overage at €0.25 / $0.25 per extra million rows, no retroactive back-billing, VAT excluded, and a 10-day free trial. Scaling by monthly active users is agreed at signature, the uptime SLA sits outside the plans, and the captured pages give different figures for the plan count — one plan on the pricing page against four plans in the terms. I could not compute our full annual cost for embedded end users from public pages alone. 5 8 11
The Managing Director
The pricing page shows one plan at "Starting from €1,995 per month Billed annually" with everything included — 500 AI conversations and 100 million Warp rows a month, then "€0.25 / $0.25 per extra million rows", VAT excluded, no back-billing — while the terms describe four plans with different fees, so the captured pages give different figures for the plan structure. What I still cannot compute is the people cost: monthly-active-user pricing is agreed at signature, and the price of extra AI conversations is not published. 5 8 11
The Data Analyst
A public starting price of "€1,995 per month" billed annually, with unusually clear usage terms: 100 million synced Warp rows per month, "€0.25 / $0.25 per extra million", 500 AI conversations, usage measured monthly, no retroactive back-billing, VAT excluded, fees non-refundable, annual billing only, and a free 10-day trial. But scaling on monthly active users is agreed at signature, and the captured pages give different figures for the plan count — the pricing page presents one plan with all features included while the general terms describe four plans with different fixed fees — so I cannot compute the real annual cost for my team from public pages alone. 5 8 11
The IT Administrator
The public starting price is "€1,995 per month Billed annually" with all features included, published quotas of 500 AI conversations and 100 million Warp rows per month, a stated overage of €0.25 / $0.25 per extra million rows with no re-tiering, VAT treatment stated as excluded, and a free 10-day trial. Viewer and embedding costs are described as monthly active users "agreed at signature", so the real annual cost is not computable from public pages, and the captured pages give different figures for the plan structure — one plan on the pricing page, four plans in the terms. 5 8 11
The SaaS Product Lead
The pricing page publishes a starting price of "€1,995 per month" billed annually, 100 million Warp rows and 500 AI conversations included, "€0.25 / $0.25 per extra million rows" overage with no retroactive back-billing, VAT treatment, annual-only billing and a 10-day free trial — enough to sketch an embedding cost. But the captured pages give different figures for the plan structure (one all-inclusive plan on the pricing page, four plans in the terms), and monthly-active-user scaling is agreed at signature, so the per-user rate our 600 customers would drive is not computable from public pages. 5 8 11
The Skeptic
The starting point is public — "Starting from €1,995 per month" billed annually, with 500 AI conversations and 100 million synced rows included and "€0.25 / $0.25 per extra million rows", no retroactive re-tiering, VAT treatment, invoice terms and auto-renewal notice all stated — but the per-active-user rate a buyer needs to compute a real annual cost is not on the captured pages. The captured pages also give different pictures of the plan structure: the pricing page presents one plan with everything included from day one, while the terms describe four Plans with different features and usage limits. 5 8 11
European sovereignty — proven facts
0 of 6 dimensions provenBuilt only from facts shown on the vendor's own pages. A dimension we could not prove is left open, not scored as zero.
| Legal entity | Not determined ⚠ unverified | — | uncited Report an error |
|---|---|---|---|
| Hosting location | Not determined ⚠ unverified | — | uncited Report an error |
| Hosting options | Not determined ⚠ unverified | — | uncited Report an error |
| Open source | Not determined | — | uncited Report an error |
| Data processing agreement | Not determined ⚠ unverified | — | uncited Report an error |
| Transfer impact assessment | Not determined | — | uncited Report an error |
Questions about Luzmo
Is Luzmo European?
Yes. whats-best.ai classifies Luzmo as EU-Made.
Where does Luzmo store data?
Not stated on the vendor’s pages as of 1 Nov 2026.
Does Luzmo have a free plan?
Not stated on the vendor’s pages as of 1 Nov 2026.
What are the best alternatives to Luzmo?
As of 1 Nov 2026, the panel rates Metabase (3.5/5), Preset (Apache Superset) (3.5/5) and Holistics (3/5) highest among the other 15 Business Intelligence & Dashboards products evaluated. Ratings that look equal are rounded to half stars; the order uses the unrounded rating, then the name. The highest-rated European alternative is Cluvio (EU-Made). Ratings are the AI panel’s opinion, formed from public evidence: how scores are made. The full list, with European products first: Luzmo alternatives.
Where this could be wrong
- Evidence ages. The oldest capture behind this page is from 1 Nov 2026. Vendors change pricing and policies without notice; every fact reflects its source as of the capture date shown in the registry.
- Weak sourcing — Data processing agreement, Legal entity, Hosting options. Not confirmed on the vendor’s own pages as captured.
- Weak sourcing — Hosting location. The pages present EU and US as equal contractual options and never state which region is the default when a contract is silent, and a worldwide AWS, Azure or GCP dedicated cloud is also offered.
- AI can misread a source. Extraction and judgement are automated; a citation guarantees traceability, not infallibility. If something here is wrong, say so — no account needed, every report is decided within 5 business days, and accepted corrections are published.
What we left out
A claim that does not survive our checks costs us the claim, not the page. This is what was taken off this one.
- 10 product facts could not be confirmed on the vendor’s page as captured and were left out of this page and of the panel’s material. Know more? Tell us
- 4 compliance facts could not be confirmed on the vendor’s page as captured and were left out of this page and of the panel’s material. Know more? Tell us
- 2 hosting facts could not be confirmed on the vendor’s page as captured and were left out of this page and of the panel’s material. Know more? Tell us
- 2 legal facts could not be confirmed on the vendor’s page as captured and were left out of this page and of the panel’s material. Know more? Tell us
- 1 support fact could not be confirmed on the vendor’s page as captured and was left out of this page and of the panel’s material. Know more? Tell us
- 3 sovereignty dimensions could not be confirmed on the vendor’s own pages and are shown as unknown. Know more? Tell us
- 6 of the readings below were written against an earlier fact sheet — a fact has been corrected, added or pulled since. Until the panel next runs on this product you are reading the older judgement. Know more? Tell us
Sources (19)
The pages every claim on this page was read from — each one checked, dated, and kept verifiable.
- 1 Vendor homepage www.luzmo.com Checked 1 Nov 2026 Details →
- 2 Features page (embedded analytics) www.luzmo.com Checked 1 Nov 2026 Details →
- 3 Features page (self-service analysis) www.luzmo.com Checked 1 Nov 2026 Details →
- 4 Integrations page (data connectors) www.luzmo.com Checked 1 Nov 2026 Details →
- 5 Pricing page www.luzmo.com Checked 1 Nov 2026 Details →
- 6 API documentation developer.luzmo.com Checked 1 Nov 2026 Details →
- 7 Privacy policy www.luzmo.com Checked 1 Nov 2026 Details →
- 8 Terms of service www.luzmo.com Checked 1 Nov 2026 Details →
- 9 Security / trust page trust.luzmo.com Checked 1 Nov 2026 Details →
- 10 Data sources, connectors & refresh — found from sitemap www.luzmo.com Checked 1 Nov 2026 Details →
- 11 Data sources, connectors & refresh — found from sitemap www.luzmo.com Checked 1 Nov 2026 Details →
- 12 Dashboards, charts & interactivity — found from sitemap developer.luzmo.com Checked 1 Nov 2026 Details →
- 13 Dashboards, charts & interactivity — found from sitemap developer.luzmo.com Checked 1 Nov 2026 Details →
- 14 Self-service analysis & shared metrics — found from sitemap www.luzmo.com Checked 1 Nov 2026 Details →
- 15 Self-service analysis & shared metrics — found from sitemap developer.luzmo.com Checked 1 Nov 2026 Details →
- 16 Sharing, scheduled reports & embedding — found from sitemap developer.luzmo.com Checked 1 Nov 2026 Details →
- 17 Sharing, scheduled reports & embedding — found from sitemap developer.luzmo.com Checked 1 Nov 2026 Details →
- 18 Access control, administration & portability — found from sitemap www.luzmo.com Checked 1 Nov 2026 Details →
- 19 Access control, administration & portability — found from sitemap developer.luzmo.com Checked 1 Nov 2026 Details →