Core capabilityDatabase connectionsConnect analytics to a database or data warehouse.
4 points maximum | Supported4 / 4 pts Database and warehouse connections include MySQL, BigQuery, Snowflake and Oracle. Official documentation · Oct 15, 2026Source ↗ |
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Core capabilityFile or spreadsheet connectionsImport or connect to file or spreadsheet data sources.
4 points maximum | Supported4 / 4 pts File uploads, Excel and Google Sheets connections are documented. Official documentation · Oct 15, 2026Source ↗ |
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Depth checkScheduled refresh configurationConfigure refresh timing for a connected dataset or extract.
5.6 points maximumAsk for a demonstrationSet a daily refresh and show the last successful and next scheduled runs. A scenario to run with the supplier; not a completed product test. | Supported5.6 / 5.6 pts The PostgreSQL connector documents dataset update schedules and configurable update/retry settings. Official documentation · Oct 15, 2026Source ↗ |
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Depth checkRefresh failure visibility and recoverySurface a failed refresh and provide a documented retry or diagnostic route.
6.4 points maximumAsk for a demonstrationBreak a test connection, show the failure detail, then restore and retry it. A scenario to run with the supplier; not a completed product test. | Supported6.4 / 6.4 pts The Aurora connector exposes run history, error messages and duration, with documented retry configuration. Official documentation · Oct 15, 2026Source ↗ |
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Core capabilityData preparation or transformationClean, combine or transform data before reporting.
4 points maximum | Supported4 / 4 pts Data pipelines and transformations are documented. Official documentation · Oct 15, 2026Source ↗ |
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Core capabilityReusable measures or semantic modelDefine reusable measures, calculations or a shared analytical model.
4 points maximum | Not verified0–4 / 4 pts The reviewed documentation does not establish reusable measures or semantic model at this feature level. This is an evidence gap, not a finding that the capability is absent. Not verified · Oct 15, 2026Source ↗ |
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Depth checkExplicit data relationshipsInspect or define joins, relationships or associations between source tables.
5.6 points maximumAsk for a demonstrationJoin orders to customers and show how duplicate keys affect the result. A scenario to run with the supplier; not a completed product test. | Supported5.6 / 5.6 pts Magic ETL joins streams on configured columns and Run Preview displays transformed results before running the saved pipeline. Official documentation · Oct 15, 2026Source ↗ |
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Depth checkCalculation or model validationValidate a measure/model, preview transformations or inspect errors before publishing.
6.4 points maximumAsk for a demonstrationIntroduce an invalid calculation or transformation and show the validation error before release. A scenario to run with the supplier; not a completed product test. | Supported6.4 / 6.4 pts Magic ETL joins streams on configured columns and Run Preview displays transformed results before running the saved pipeline. Official documentation · Oct 15, 2026Source ↗ |
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Core capabilityInteractive dashboards or reportsBuild dashboards or reports that support interactive viewing.
3.2 points maximum | Supported3.2 / 3.2 pts Dashboards and analytical apps are documented. Official documentation · Oct 15, 2026Source ↗ |
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Core capabilityExploration and drill-downExplore underlying data or alter an analytical view interactively.
3.2 points maximum | Not verified0–3.2 / 3.2 pts The reviewed documentation does not establish exploration and drill-down at this feature level. This is an evidence gap, not a finding that the capability is absent. Not verified · Oct 15, 2026Source ↗ |
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Depth checkDrill to relevant underlying detailNavigate from an aggregate visual to a filtered detail view or underlying rows.
4.8 points maximumAsk for a demonstrationSelect one segment and show only the underlying records behind it. A scenario to run with the supplier; not a completed product test. | Supported4.8 / 4.8 pts Cards support drill paths and data export; page/card filters and personalized data permissions remain applied to exports. Export size and table limits vary. Official documentation · Oct 15, 2026Source ↗ |
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Depth checkExport filtered analytical dataExport analytical data while retaining the relevant filters or selection context.
4.8 points maximumAsk for a demonstrationFilter a report to one region and show that the exported rows reflect that scope. A scenario to run with the supplier; not a completed product test. | Supported4.8 / 4.8 pts Cards support drill paths and data export; page/card filters and personalized data permissions remain applied to exports. Export size and table limits vary. Official documentation · Oct 15, 2026Source ↗ |
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Core capabilityData-access restrictionsControl access to analytical data using row, model or comparable data permissions.
2.4 points maximum | Supported2.4 / 2.4 pts Personalized Data Permission policies restrict data by rows and user attributes. Official documentation · Oct 15, 2026Source ↗ |
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Core capabilityPublishing and workspace permissionsControl who can publish, edit or manage analytical content.
2.4 points maximum | Supported2.4 / 2.4 pts Custom roles restrict administration features; connector accounts also have owner/edit/share/read access levels. Official documentation · Oct 15, 2026Source ↗ |
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Depth checkTest restricted analytical accessTest or inspect how row/model permissions affect an ordinary user’s view.
3.2 points maximumAsk for a demonstrationShow the same report as two users with different permitted data. A scenario to run with the supplier; not a completed product test. | Not verified0–3.2 / 3.2 pts The reviewed evidence does not establish this advanced behavior: test restricted analytical access. Request the demonstration above; absence of public evidence does not establish absence of the feature. Not verified · Oct 15, 2026Source ↗ |
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Depth checkData lineage or impact visibilityInspect upstream/downstream dependencies before changing a data model or published dataset.
4 points maximumAsk for a demonstrationSelect a dataset and show which reports depend on it before a field change. A scenario to run with the supplier; not a completed product test. | Supported4 / 4 pts Domo's product guide documents Data Lineage and Impact Analysis across datasets, cards and alerts. Official documentation · Oct 15, 2026Source ↗ |
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Core capabilityNatural-language analyticsAsk questions or obtain explanations about analytical data.
2.4 points maximum | Supported2.4 / 2.4 pts The AI service layer supports conversational analytics using workload-based credits. Official documentation · Oct 15, 2026Source ↗ |
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Core capabilityAI report or calculation assistanceUse AI to create or alter a report, visual, calculation or analytical workflow.
2.4 points maximum | Supported2.4 / 2.4 pts Model integration and AI data workflows use activity-based credits. Official documentation · Oct 15, 2026Source ↗ |
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Depth checkAI grounded in governed models or sourcesDocument that analytical AI uses configured models, permitted datasets or identified source context.
3.2 points maximumAsk for a demonstrationAsk an ambiguous metric question and show which model or data source the answer uses. A scenario to run with the supplier; not a completed product test. | Supported3.2 / 3.2 pts AI Chat uses selected DataSets/cards and exposes source links, generated SQL and processing steps; existing Domo data permissions apply. Official documentation · Oct 15, 2026Source ↗ |
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Depth checkInspect AI reasoning artifacts or source detailInspect generated calculation/query, cited source or other supporting artifact behind an AI analytical answer.
4 points maximumAsk for a demonstrationAsk AI for a result, then open the source, calculation or query needed to verify it. A scenario to run with the supplier; not a completed product test. | Supported4 / 4 pts AI Chat uses selected DataSets/cards and exposes source links, generated SQL and processing steps; existing Domo data permissions apply. Official documentation · Oct 15, 2026Source ↗ |
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Depth checkHide individual model columns and their metadataDemonstrate: Hide individual model columns and their metadata. State the plan, limits and behaviour on failure. Use a restricted dataset and two different reader roles.
2.5 points maximumAsk for a demonstrationDemonstrate: Hide individual model columns and their metadata. State the plan, limits and behaviour on failure. Use a restricted dataset and two different reader roles. A scenario to run with the supplier; not a completed product test. | Not verified0–2.5 / 2.5 pts This specific check has not been verified. Missing evidence does not mean the capability is absent. Ask for a demonstration in the proposed plan. Not verified · Oct 21, 2026Source ↗ |
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Depth checkCertify trusted datasets or metricsDemonstrate: Certify trusted datasets or metrics. State the plan, limits and behaviour on failure. Use a restricted dataset and two different reader roles.
2.5 points maximumAsk for a demonstrationDemonstrate: Certify trusted datasets or metrics. State the plan, limits and behaviour on failure. Use a restricted dataset and two different reader roles. A scenario to run with the supplier; not a completed product test. | Not verified0–2.5 / 2.5 pts This specific check has not been verified. Missing evidence does not mean the capability is absent. Ask for a demonstration in the proposed plan. Not verified · Oct 21, 2026Source ↗ |
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Depth checkRetain sensitivity protection in supported exportsDemonstrate: Retain sensitivity protection in supported exports. State the plan, limits and behaviour on failure. Use a restricted dataset and two different reader roles.
2.5 points maximumAsk for a demonstrationDemonstrate: Retain sensitivity protection in supported exports. State the plan, limits and behaviour on failure. Use a restricted dataset and two different reader roles. A scenario to run with the supplier; not a completed product test. | Not verified0–2.5 / 2.5 pts This specific check has not been verified. Missing evidence does not mean the capability is absent. Ask for a demonstration in the proposed plan. Not verified · Oct 21, 2026Source ↗ |
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Depth checkProduce parameterised paginated reportsDemonstrate: Produce parameterised paginated reports. State the plan, limits and behaviour on failure. Use a restricted dataset and two different reader roles.
2.5 points maximumAsk for a demonstrationDemonstrate: Produce parameterised paginated reports. State the plan, limits and behaviour on failure. Use a restricted dataset and two different reader roles. A scenario to run with the supplier; not a completed product test. | Not verified0–2.5 / 2.5 pts This specific check has not been verified. Missing evidence does not mean the capability is absent. Ask for a demonstration in the proposed plan. Not verified · Oct 21, 2026Source ↗ |
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Depth checkTrace slow visual queriesDemonstrate: Trace slow visual queries. State the plan, limits and behaviour on failure. Use a restricted dataset and two different reader roles.
2.5 points maximumAsk for a demonstrationDemonstrate: Trace slow visual queries. State the plan, limits and behaviour on failure. Use a restricted dataset and two different reader roles. A scenario to run with the supplier; not a completed product test. | Not verified0–2.5 / 2.5 pts This specific check has not been verified. Missing evidence does not mean the capability is absent. Ask for a demonstration in the proposed plan. Not verified · Oct 21, 2026Source ↗ |
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Depth checkRecalculate with user-controlled scenario parametersDemonstrate: Recalculate with user-controlled scenario parameters. State the plan, limits and behaviour on failure. Use a restricted dataset and two different reader roles.
2.5 points maximumAsk for a demonstrationDemonstrate: Recalculate with user-controlled scenario parameters. State the plan, limits and behaviour on failure. Use a restricted dataset and two different reader roles. A scenario to run with the supplier; not a completed product test. | Not verified0–2.5 / 2.5 pts This specific check has not been verified. Missing evidence does not mean the capability is absent. Ask for a demonstration in the proposed plan. Not verified · Oct 21, 2026Source ↗ |
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Depth checkWrite approved planning inputs to a source systemDemonstrate: Write approved planning inputs to a source system. State the plan, limits and behaviour on failure. Use a restricted dataset and two different reader roles.
2.5 points maximumAsk for a demonstrationDemonstrate: Write approved planning inputs to a source system. State the plan, limits and behaviour on failure. Use a restricted dataset and two different reader roles. A scenario to run with the supplier; not a completed product test. | Not verified0–2.5 / 2.5 pts This specific check has not been verified. Missing evidence does not mean the capability is absent. Ask for a demonstration in the proposed plan. Not verified · Oct 21, 2026Source ↗ |
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Depth checkTranslate model labels for report readersDemonstrate: Translate model labels for report readers. State the plan, limits and behaviour on failure. Use a restricted dataset and two different reader roles.
2.5 points maximumAsk for a demonstrationDemonstrate: Translate model labels for report readers. State the plan, limits and behaviour on failure. Use a restricted dataset and two different reader roles. A scenario to run with the supplier; not a completed product test. | Not verified0–2.5 / 2.5 pts This specific check has not been verified. Missing evidence does not mean the capability is absent. Ask for a demonstration in the proposed plan. Not verified · Oct 21, 2026Source ↗ |
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