Business Intelligence & Dashboards
Preset (Apache Superset)
Rest of world Report an error0–5 in half steps. 5 means the rubric's top anchor is met on the evidence.
by Preset, Inc. · preset.io
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Preset (Apache Superset) at a glance
- Vendor
- Preset, Inc.
- 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
- Yes, per the vendor’s own page source, captured 1 Nov 2026
- Starting price
- “Starter Explore Superset in the cloud, free forever for small teams. $0 Forever, for up to 5 users.” (vendor’s words) source, captured 1 Nov 2026
- Panel verdict
- The AI panel rates Preset (Apache Superset) 3.5/5, the mean of 6 judges. Preset is a fully-hosted cloud service for Apache Superset from Preset, Inc. how scores are made
- As of
- Vendor pages captured 1 Nov 2026; evaluated by the panel 1 Nov 2026. all sources
Preset (Apache Superset) alternatives, European ones first →
Read this page as one judge. Each weighs the same scores by what they care about.
The panel's verdict
Preset is a fully-hosted cloud service for Apache Superset from Preset, Inc. of San Francisco. Weighted totals span 6.1 to 7.2, and on every criterion the judges' scores fall within a single point, so no material disagreement emerged. Sharing and embedding is the strongest area at 7–8: embedding via iframe and SDK with guest tokens carrying row-level security rules per viewer is documented end to end, and viewer licences are publicly priced at $500/month for 50 licenses. Governance and portability also scores 7–8, on eight workspace roles and row-level security documented to the WHERE clause. Sovereignty is the outlier at 3–4: contracts run under California law on multi-tenant AWS, the privacy policy says information may be transferred, processed and stored anywhere in the world including the United States, and the MCP gateway runs in the United States even for EU-hosted workspaces; we found no public information on a data processing agreement or an EU contracting entity. Pricing transparency scores 5–6: Starter and Professional prices are published, but Enterprise, which holds SSO, SCIM, audit logs and SSH tunnels, is quote-only.
Speaks for it
- Queries run live on your own database with no extracts or data dumps stored on Preset.
- Embedding is documented end to end, delivered by iframe and SDK, with guest tokens carrying row-level security rules per viewer.
- Embedded viewer licences are publicly priced at $500/month for 50 licenses with volume discounts up to 90%.
- Every chatbot-generated query is visible, editable and bound by the same row-level security as the dashboards.
- Eight workspace roles and row-level security documented to the WHERE clause sit beside named on-premise and Managed Private Cloud editions.
Held against it
- Sovereignty scores 3–4: a San Francisco entity under California law on multi-tenant AWS, where a Stockholm region is selectable but no default region is stated.
- The privacy policy says information may be transferred, processed and stored anywhere in the world including the United States, and we found no public information on a data processing agreement or an EU contracting entity.
- The MCP gateway runs in the United States even for EU-hosted workspaces — though workspace data stays in its hosting region — and the chatbot routes through OpenRouter, Anthropic, OpenAI and Google Vertex AI.
- Cross-database joins are documented as not supported, and the cloud service only connects to publicly addressable databases unless SSH tunnels are added on the Enterprise plan.
- The Enterprise tier holding SSO with SCIM, audit logs, dbt and API access is quote-only, and we found no public information on minimum term, VAT treatment or the price of the self-hosted editions.
Best for
- You are embedding analytics in your own product and need per-viewer row-level security plus a viewer-licence price you can build into your own pricing.
- You want managed Apache Superset in the cloud, with on-premise and Managed Private Cloud deployments named as options.
- Your security posture requires that queries run live on your own database with no extracts stored by the vendor.
- You need one semantic layer with certified metrics for a team mixing SQL analysts and no-code dashboard builders.
Avoid if
- You need a European contracting entity and a published data processing agreement before signing.
- Your databases sit behind a firewall or your reporting depends on cross-database joins, which the documentation states are not supported.
- You must be able to compute your full annual cost from public prices, since Enterprise and the self-hosted editions are quote-only.
- Your AI-assistance chain cannot route through a United States-based gateway or US model providers.
The scores
| Criterion | Panel median |
|---|---|
| Data sources, connectors & refresh | 3.5 of 5 |
| Dashboards, charts & interactivity | 3.5 of 5 |
| Self-service analysis & shared metrics | 3.5 of 5 |
| Sharing, scheduled reports & embedding | 4 of 5 |
| Access control, administration & portability | 3.5 of 5 |
| European sovereignty | 2 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
The connector list names 48 databases and warehouses including PostgreSQL, SQL Server, BigQuery and Snowflake plus Google Sheets, with a SQLAlchemy URI for anything unlisted, and the documentation states all queries run live on my own database — with SSH tunnels for sources behind a firewall reserved for the Enterprise plan. The same documentation states that cross-database and cross-dataset joins are not supported and only publicly addressable databases can be connected, which bites when I want DATEV and ERP figures on one page. We found no public information on connectors for accounting, ERP or CRM systems, or on per-plan connector limits. 9 4
The Managing Director
The published list covers about fifty databases and warehouses including PostgreSQL, SQL Server, Snowflake and BigQuery plus Google Sheets and Airtable, with every query running live on my own database and a SQLAlchemy address for anything unlisted. What holds it back for a firm like mine: cross-database joins are documented as not supported, the cloud service only connects to publicly addressable databases unless I move up to SSH tunnels on Enterprise, and I found no public information on ready connectors for a CRM, accounting or help desk tool, on scheduled refresh intervals or on connector limits per plan. 9 4 2
The Data Analyst
A published list of fifty-plus databases and warehouses (PostgreSQL, Snowflake, BigQuery, Redshift, Databricks among them), queried live on my own database, with a SQLAlchemy URI fallback for anything unlisted and SSH tunnel connections reserved for the Enterprise plan. The documentation itself states that cross-database and cross-dataset joins are not supported, only publicly addressable databases connect by default, and I found no public information on refresh intervals or per-plan connector limits. 9 4 2 13
The IT Administrator
The connector list covers more than forty named databases and warehouses with a generic SQLAlchemy URI for anything unlisted, queries run live on our own database with no extracts or dumps stored on Preset, and datasets with calculated columns give a light modelling step. The catch for our ERP is that the cloud service only connects to databases that are publicly addressable — SSH tunnels exist but are an Enterprise feature — and the pages themselves state that cross-database or cross-dataset joins are not supported. Caching is mentioned but its behaviour is not explained, and connector limits per plan are not published. 9 4 2 13
The SaaS Product Lead
The documented connector list is deep — forty-plus databases and warehouses from PostgreSQL to Snowflake, plus a generic SQLAlchemy URI for anything unlisted — and queries run live on our database with no extracts stored on Preset's side. For my fleet data it matters, though, that cross-database joins are explicitly not supported, the cloud service only connects to publicly addressable databases, and the documented SSH-tunnel route sits behind the Enterprise plan. We found no public information on connector limits or per-plan quotas. 9 4 2 18
The Skeptic
More than forty named databases from PostgreSQL and Snowflake to Airtable and Google Sheets, plus a generic SQLAlchemy URI for anything unlisted, and the model is stated plainly: queries run live on the customer database and no extractions or data dumps are stored on Preset. SSH tunnels exist but only on the Enterprise plan, and the documentation itself states cross-database joins are not supported, with filter scoping as the workaround; we found no public information on connector limits or refresh intervals per plan. 9 4 2 13
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
More than forty chart types including interactive pivot tables, deck.gl maps and big-number tiles with trendlines, dashboard-wide filters, documented cross-filtering across charts, and drill-to-detail available even to read-only interactor roles; currency symbols and date formats are configurable per metric. We found no public information on pixel-exact or paginated reports for print, on TV or presentation modes, or on chart accessibility — and a clean printout for the advisory board is exactly what I need every month. 3 11 12 13 18
The Managing Director
Over forty chart types including interactive pivot tables, Big Number tiles with trendline and deck.gl charts, cross-filtering with multiple simultaneous filters shown in the filter bar, drill to detail and drill by for readers, currency formatting and dashboard CSS to match my brand. That covers my one-screen board well; I found no public information on a mobile view, dashboard templates for common sources or accessibility of the charts. 3 11 12 13 2 18
The Data Analyst
Forty-plus visualization types, five table variants including a drag-and-drop interactive pivot table, Big Number with Trendline, deck.gl charts, and cross-filtering with active filters shown per chart plus Drill to Detail and Drill By for reader roles. Currency formatting and dataset-level date formats help our German stakeholders and dashboard CSS templates allow branding; we found no public information on TV or presentation modes, accessibility of charts, or pixel-exact print reports. 3 11 12 13 18 2
The IT Administrator
Forty-plus visualization types, an interactive pivot table with drag-and-drop grouping and column pinning, and cross-filtering documented across bar, line, pie, treemap, radar, table and deck.gl charts give readers genuine interactivity, with Drill to Detail and Drill By for the dashboard interactor role. Currency formatting, Big Number tiles with trendlines, Jinja-driven dashboard filters, dashboard CSS theming and annotation layers cover the KPI and branding work we do. We found no public information on accessibility conformance, mobile or TV display modes, or a custom-visual SDK. 3 11 12 13 18 2 5
The SaaS Product Lead
Over forty visualization types, interactive pivot tables whose layout settings persist, cross-filtering across eligible charts, drill to detail and drill by, and currency and date formatting give my customers real interactivity, while dashboard CSS templates let me match our product's brand. We found no public information on accessibility of charts, TV or presentation modes, or conditional formatting. 3 11 12 13 18 2
The Skeptic
Over 40 visualization types, an interactive pivot table with drag-and-drop pivoting and saved layout, and cross-filtering documented chart by chart, with drill-to-detail and drill-by available to the dashboard interactor role. Dashboard CSS templates and currency and date formatting handle branding and localisation, but we found no public information on mobile display, accessibility of charts, or presentation and TV modes. 3 11 12 13 18
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
There is a semantic layer where metrics and dimensions are defined once and can be certified with a named certifying organisation, a collaborative SQL editor beside the no-code chart builder, and dbt models and metrics syncing daily into datasets — one definition of contribution margin is achievable, though the dbt integration sits on the Enterprise plan. The chatbot turns plain-English questions into charts, every generated query is visible and editable, and AI queries respect the same row-level security as the dashboards. We found no public information on forecasting, anomaly detection with the method stated, or Python notebooks beside the dashboards. 2 4 13 14
The Managing Director
A no-code chart builder for my team, a collaborative SQL editor for the odd analyst, a semantic layer where metrics are defined once and can be certified with a named certifier, plain-English chatbot questions whose generated query is visible and editable, and dbt models and metrics synced daily on the Enterprise plan. This is a mature shared-metrics story; I found no public information on forecasting, anomaly detection or Python notebooks. 2 13 14 7
The Data Analyst
The mix I need is documented: a collaborative SQL IDE beside a drag-and-drop chart builder, metrics defined once in the semantic layer with certification by a named person or organisation, dbt models and metrics synced daily (via CLI for dbt Core, on the Enterprise plan), and a chatbot where every generated query is visible and editable and respects the same row-level security as dashboards. The captured pages state that only single-model dbt metrics synchronise, and I found no public information on forecasting, anomaly detection with the method stated, or notebook and Python analysis. 2 13 14 5 4
The IT Administrator
A no-code chart builder sits beside a collaborative SQL IDE and a semantic layer where datasets, metrics and calculated columns are defined once, and metrics can be certified with a named certifying organization or person. The chatbot answers plain-English questions with every generated query visible and editable, and dbt models and metrics sync daily as datasets, though the dbt integration is Enterprise-only and only single-model metrics synchronize. We found no public information on forecasting or anomaly detection with a stated method, or on Python and notebook analysis. 2 13 14 4 7
The SaaS Product Lead
A semantic layer with certified metrics, calculated columns, a collaborative SQL editor, drag-and-drop exploration, and a chatbot that turns plain-English questions into charts while showing every generated query covers most of what my customers would ask without opening a ticket. The dbt sync that keeps metric definitions in source control is available only on the Enterprise plan and syncs only metrics built from a single model. We found no public information on forecasting, anomaly detection or Python notebooks. 2 13 14 5
The Skeptic
A no-code chart builder beside a collaborative SQL IDE, a semantic layer where metrics and calculated columns are defined once, and metrics can carry a certification with the certifier named. The dbt sync runs daily but only on the Enterprise plan and only for metrics reading from a single model; the chatbot earns trust where most fail — every generated query is visible, editable and bound by the same row-level security as the dashboards. We found no public information on forecasting, anomaly detection, or notebook analysis. 2 13 14 4
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
Scheduled reports send a snapshot of a chart or whole dashboard plus a link by email or Slack, with event-triggered alerts — though only on Professional and Enterprise plans. Embedding is documented end to end: an iframe with an SDK, guest tokens carrying row-level security rules per viewer, allowed-domain restriction, session isolation and white-label colour palettes and custom CSS, with the licence priced publicly at $500/month for 50 viewer licences and volume discounts up to 90%. We found no public information on comments on dashboards or public password-protected links. 16 15 3 4
The Managing Director
Scheduled email and Slack reports deliver a snapshot of a chart or whole dashboard plus a link, which is exactly my Monday summary, and alerts fire on logical conditions in the data. Embedding is a documented add-on at $500/month for 50 viewer licenses with an iframe and SDK, white-label colour palettes and custom CSS, and guest tokens carrying row-level rules per viewer; I found no public information on comments on dashboards or export formats such as PDF and Excel. 16 15 4 3
The Data Analyst
Reports run on schedules and are delivered by email or Slack as a snapshot of a chart or dashboard plus a link, and embedding is documented end to end: iframe plus an embedded SDK, guest-token authorization with per-dataset row-level security rules, allowed-domain restriction, custom palettes and CSS, with viewer licences publicly priced. Annotation layers are managed through the API; we found no public information on public share links or explicit PDF and PowerPoint export formats. 16 15 3 4
The IT Administrator
Scheduled reports and event-triggered alerts deliver snapshots of charts or whole dashboards by email and Slack on Professional and Enterprise, each entry with an active toggle and an execution log. Embedding is a fully documented product: iframe or SDK, guest-token authorization that carries row-level security rules per viewer, allowed-domain restriction, session isolation without cookie access, and white-label colour palettes with custom CSS. The embedded licence model is public at $500/month for 50 licenses with volume discounts up to 90%, which is the transparency I want from an embedding vendor. 16 15 3 4
The SaaS Product Lead
This is the part I came for and it is documented: an embedded SDK with custom colour palettes and CSS, iframe embedding authorised by a guest token that can define row-level security rules per dataset, embedding restricted to allowed domains, and a published embedding licence — $500/month for 50 viewer licenses, on Professional and above — that I can build into our product's price before signing. Reports and alerts are delivered by email and Slack with scheduled snapshots. We found no public information on custom domains or usage reporting for embedded content, and Microsoft Teams delivery is not documented. 15 4 3 16
The Skeptic
Scheduled reports as chart or dashboard snapshots plus condition-triggered alerts by email and Slack on the Professional plan and up, and an embedding story a buyer can actually price: SDK and iframe, guest tokens carrying row-level rules per viewer, allowed-domain restriction, white-label styling through custom CSS, and viewer licences at "$500/mo for 50 Viewers" with volume discounts up to 90%. We found no public information on public share links or PDF and PowerPoint export formats. 15 16 4 3 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 access is documented down to database, schema and dataset granularity with limited roles holding no data access until assigned, row-level security can filter on the logged-in username via Jinja clauses, and SAML single sign-on with SCIM provisioning plus audit logs and usage metrics arrive on the Enterprise plan. A REST API manages users, workspaces, dashboards and permissions as code, assets export and import, database connections move as a ZIP file, and on-premises and managed private cloud deployments are offered. We found no public information on column-level security or separate development and production environments. 18 17 6 5 10 2
The Managing Director
Eight workspace roles, row-level security documented down to the WHERE clause and combined with data access roles, SAML SSO with SCIM provisioning, audit logs and usage metrics, a REST API for managing users, workspaces and assets as code, asset import and export, and an on-premise or managed private cloud edition. The gaps I found no public information on are column-level security, development and production environments, and what happens to my content on termination. 18 17 6 4 5 2
The Data Analyst
Eight workspace roles defaulting to no data access, data access roles scoped down to database, catalog, schema or dataset, row-level security documented in depth (regular and base filters, current-username macros), SAML SSO with SCIM provisioning, and an API covering dashboards, datasets, permissions and workspaces as code. Assets export and import, database connections move as a ZIP archive, and the on-premise and managed private cloud editions are the exit route that keeps my Superset dashboards alive; we found no public information on column-level security or an explicit development-to-production promotion flow. 18 17 6 5 4 8 10
The IT Administrator
This is the area I care most about and it holds up: eight workspace roles plus Data Access Roles at database, catalog, schema and dataset granularity, and row-level security documented down to the WHERE clause with a worked example restricting a sales role to EMEA territory — exactly the regional separation we need. SAML single sign-on, SCIM provisioning and audit logs with usage metrics are listed, but only on the Enterprise plan, and API access is an Enterprise add-on behind a contact form; assets import and export as files and everything is manageable as code through the API. For an edition we run ourselves, Preset On-Prem and Managed Private Cloud are named offerings on top of the open-source platform, which is the deployment I would insist on. 18 17 6 4 5 10 2
The SaaS Product Lead
Eight workspace roles with data access roles down to schema and dataset level, row-level security driven by the viewer's login username, SAML SSO with SCIM provisioning, audit logs and usage metrics, and a REST API that manages users, dashboards and permissions as code — most of what I need before rolling this out to 600 customers. On-prem and Managed Private Cloud editions are listed among the offerings, and assets can be exported and imported. We found no public information on column-level security or on development and production environments. 18 17 6 5 4
The Skeptic
Eight workspace roles with data access roles layered on top, row-level security documented down to Jinja current username clauses and regular versus base filters, SAML SSO with SCIM provisioning, audit logs, and a REST API covering dashboards, datasets and permissions as code — though API access is itself an Enterprise add-on. On-premise and managed private cloud editions are named; we found no public information on column-level security or development and production environments, and the website terms warn that user content may not be completely removed on request. 18 17 6 4 5 8
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
The contracting party is Preset, Inc. of San Francisco under California law, and the captured privacy policy states information may be transferred, processed and stored anywhere in the world including the United States; on the credit side, an AWS Stockholm region is on the region list and the documentation states all queries run directly on my own database with no extracts stored by Preset. The AI chain is named but not European: the chatbot's language-model providers are OpenRouter, Anthropic, OpenAI and Google Vertex AI, and the gateway that European workspace requests pass through runs in the United States. We found no public information on a data processing agreement, an EU representative, or where the chart and dashboard caches are stored, so I could not verify the chain my auditors would ask about. 7 9 6 8
The Managing Director
Preset Inc. of San Francisco with California governing law, AWS multi-tenant hosting where I would have to deliberately select the Stockholm region among US and Asia options, an AI chatbot running through OpenRouter, Anthropic, OpenAI and Google Vertex AI, and an MCP gateway in the United States that even EU-hosted workspace requests pass through. Subprocessors are partly named with a published list and SOC 2 Type 2 is stated, but I found no public information on a data processing agreement or an EU contracting representative. 6 9 7 8
The Data Analyst
Preset, Inc. is a US entity under California law, hosted on AWS multi-tenant with an EU region selectable, though the privacy policy says information may be transferred, processed and stored anywhere including the United States and no default region is stated. In its favour, queries run directly on my database with no extracts stored in Preset and subprocessors are published, but the AI chain runs through OpenAI, Anthropic, Google Vertex AI and OpenRouter and the MCP gateway runs in the United States even for EU-hosted workspaces. I found no public information on an EU contracting entity or representative, or on a published data processing agreement; SOC 2 Type 2 is stated. 6 9 7 8 15
The IT Administrator
The contracting entity is Preset, Inc. of San Francisco under California law, hosting is multi-tenant AWS with an EU region in Stockholm that the customer has to select, and I found no public information on a data processing agreement or an EU contracting entity. The AI chatbot routes through OpenRouter, Anthropic, OpenAI and Google Vertex AI, and the MCP gateway runs in the United States even for EU-hosted workspaces, though workspace data stays in its region and queries run directly on our own database with no extracts stored on Preset. HIPAA compliance with a BAA path and SOC 2 Type 2 are stated, which matters to us as a healthcare supplier, but they do not close the European-chain gap. 6 7 8 9
The SaaS Product Lead
Preset is a US company under California law running on AWS, with a Stockholm region among the selectable regions, but the privacy policy says information may be transferred, processed and stored anywhere in the world including the United States, and the MCP gateway for AI assistants runs in the United States even for EU-hosted workspaces. Subprocessors are named — OpenRouter, Anthropic, OpenAI and Google Vertex AI behind the chatbot, Auth0 and Datadog behind the gateway — yet there is no European contracting entity and we found no public information on a data processing agreement. One genuine comfort for my fleet data: queries run directly on our database with no extracts stored on Preset. 6 9 7 8 3
The Skeptic
Preset, Inc. of San Francisco contracts under California law, runs on AWS multi-tenant with a Stockholm region among four choices, and the privacy notice says information may be transferred, processed and stored anywhere in the world including the United States; the MCP gateway sits in the US even for EU workspaces, and the chatbot rides on OpenRouter, Anthropic, OpenAI and Google Vertex AI. SOC 2 Type 2, PCI-DSS and HIPAA are stated and the live-query model means no extracts are stored on Preset, but we found no public information on a data processing agreement or any EU contracting entity or representative. 6 9 7 8 2
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
Tiers and seat prices are public: Starter at $0 forever for up to 5 users, Professional at $20/user/month billed annually or $25/user/month billed monthly with unlimited users, and embedded viewer licences starting at $500/month for 50 licences with volume discounts up to 90%. But Enterprise is quoted as "Custom — Contact us for a tailored quote", which puts single sign-on with SCIM, SSH tunnels, dbt, audit logs and the on-premises editions behind a sales conversation. We found no public information on minimum term, VAT treatment, or the licence price of the on-premises edition. 4
The Managing Director
Starter is free forever for up to five users, Professional is public at $20/user/month billed annually or $25/user/month billed monthly with unlimited users, RBAC and scheduled reports, and embedding is priced at $500/month for 50 viewer licenses. But single sign-on, SCIM, audit logs, SSH tunnels and API access sit behind an Enterprise tier quoted on request, and I found no public information on VAT treatment, minimum terms or the licence price of the self-hosted editions. 4
The Data Analyst
Starter is free forever for up to 5 users, Professional is $20/user/month billed annually ($25/user/month billed monthly) with unlimited users and its main features listed, and unusually the embedded viewer licences are publicly priced at $500/month for 50 with volume discounts up to 90%. SSO, SCIM, audit logs, dbt, SSH tunnels and API access sit in the Enterprise plan, which is quote-only, and I found no public information on minimum term, VAT treatment, or the licence price for the on-premise and private cloud editions. 4 5
The IT Administrator
Starter is free forever for up to 5 users in one workspace and Professional is published at $20/user/month billed annually, $25/user/month billed monthly, with main inclusions listed including RBAC and scheduled reports, and embedded viewer licenses are priced at $500/month for 50 licenses. But every feature I must approve for company-wide use — single sign-on with SCIM, audit logs, dbt, SSH tunnels to the ERP, API access and the on-prem or private cloud editions — sits on the Enterprise tier at a custom quote. The real annual cost is therefore not computable from public pages alone. 4 5
The SaaS Product Lead
Starter is free forever for up to 5 users, Professional is $20/user/month billed annually or $25/user/month billed monthly with unlimited users, and embedding is priced publicly at $500/month for 50 viewer licenses with volume discounts of up to 90% — exactly the number I need to put into our product's own price. However the Enterprise tier, where SSO with SCIM, audit logs, SSH tunnels and the private-cloud and on-prem editions sit, is only Custom with a contact-us quote. We found no public information on minimum term, VAT treatment, or the price of the self-hosted edition. 4 1
The Skeptic
Starter is "$0 Forever, for up to 5 users", Professional is "$20 /user/month Billed annually" or "$25/user/month billed monthly", and embedding is priced at "$500/mo for 50 Viewers" — hard numbers a buyer can work with. But Enterprise is "Contact us for a tailored quote", and that is where SSO, SCIM, audit logs, dbt, SSH tunnels and API access sit; we found no public information on minimum term, VAT treatment, or the licence price of the on-premise and private cloud editions. 4 16 5
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 | — | 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 | — | uncited Report an error |
| Transfer impact assessment | Not determined | — | uncited Report an error |
Questions about Preset (Apache Superset)
Is Preset (Apache Superset) European?
No. whats-best.ai classifies Preset (Apache Superset) as Rest of world.
Where does Preset (Apache Superset) store data?
Not stated on the vendor’s pages as of 1 Nov 2026.
Does Preset (Apache Superset) have a free plan?
Yes. Preset (Apache Superset) has a free plan, per the vendor’s page captured 1 Nov 2026.
What are the best alternatives to Preset (Apache Superset)?
As of 1 Nov 2026, the panel rates Metabase (3.5/5), Holistics (3/5) and Luzmo (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 Luzmo (EU-Made). Ratings are the AI panel’s opinion, formed from public evidence: how scores are made. The full list, with European products first: Preset (Apache Superset) 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 — Hosting location, Hosting options. Not confirmed on the vendor’s own pages as captured.
- 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.
- 30 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
- 5 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
- 4 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 data 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 integrations 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 pricing 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
- 1 subprocessors 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
- 2 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 preset.io Checked 1 Nov 2026 Details →
- 2 Features page preset.io Checked 1 Nov 2026 Details →
- 3 Features page (embedded dashboards) preset.io Checked 1 Nov 2026 Details →
- 4 Pricing page preset.io Checked 1 Nov 2026 Details →
- 5 API documentation preset.io Checked 1 Nov 2026 Details →
- 6 Security / trust page preset.io Checked 1 Nov 2026 Details →
- 7 Privacy policy preset.io Checked 1 Nov 2026 Details →
- 8 Terms of service preset.io Checked 1 Nov 2026 Details →
- 9 Data sources, connectors & refresh — found from sitemap docs.preset.io Checked 1 Nov 2026 Details →
- 10 Data sources, connectors & refresh — found from sitemap docs.preset.io Checked 1 Nov 2026 Details →
- 11 Dashboards, charts & interactivity — found from sitemap docs.preset.io Checked 1 Nov 2026 Details →
- 12 Dashboards, charts & interactivity — found from sitemap docs.preset.io Checked 1 Nov 2026 Details →
- 13 Self-service analysis & shared metrics — found from sitemap docs.preset.io Checked 1 Nov 2026 Details →
- 14 Self-service analysis & shared metrics — found from sitemap docs.preset.io Checked 1 Nov 2026 Details →
- 15 Sharing, scheduled reports & embedding — found from sitemap docs.preset.io Checked 1 Nov 2026 Details →
- 16 Sharing, scheduled reports & embedding — found from sitemap docs.preset.io Checked 1 Nov 2026 Details →
- 17 Access control, administration & portability — found from sitemap docs.preset.io Checked 1 Nov 2026 Details →
- 18 Access control, administration & portability — found from sitemap docs.preset.io Checked 1 Nov 2026 Details →
- 19 Self-hosting / on-premises installation docs — found from the homepage preset.io Checked 1 Nov 2026 Details →