Onvo 
Onvo is an AI dashboard and embedded-analytics platform for creating live visualizations from connected databases, APIs, and business data sources.
Starting price Free + from $84/mo
Tool Information
Onvo is an AI dashboard and embedded-analytics platform for creating live visualizations from connected databases, APIs, and business data sources.
Teams connect governed data, define metrics, generate or build dashboards, validate queries and calculations, configure permissions, and embed only approved views.
Free or trial access is available and paid plans start around $84 per month; data sources, dashboards, viewers, refresh, embedding, and teams vary.
AI-generated analytics can use wrong metrics or queries and expose sensitive data through embeds. Row-level security, validation, caching, and monitoring are required.
F.A.Q (3)
Pros and Cons
Pros
- Onvo creates live dashboards from spreadsheets and databases
- CSV and Excel files can be uploaded without building a semantic layer first
- Google Sheets connects directly to the workspace
- PostgreSQL; MySQL; Microsoft SQL Server; MongoDB; ClickHouse; and Snowflake are listed sources
- Automatic profiling identifies column types; null rates; and distinct values
- The cleaning step detects merged cells; mixed formats; date inconsistencies; and spreadsheet errors
- Users can see the cleanup changes before analysis
- Natural-language requests generate charts without writing SQL
- Nine chart families cover common dashboard layouts
- Plain-English questions return written explanations with supporting visualizations
- Chart-level instructions revise one widget without rebuilding the entire dashboard
- Shared filters can control all relevant charts
- Widgets use a draggable twelve-column layout
- PDF and Excel exports support offline reporting
- Separate workspaces and per-user isolation serve client reporting
- Dashboards can be embedded through an iframe or SDK under enterprise packaging
Cons
- The Starter price of seventeen dollars per user assumes annual billing
- Starter is capped at fifty dashboards and twenty data sources
- The entry plan describes AI usage only as fair-use limits rather than a precise quota
- Schedules; alerts; and embedding require custom-priced Enterprise service
- Enterprise prices are not published
- Onvo permits only a three-day evaluation period before paid access
- Automatic cleaning can silently reinterpret dates; currency; identifiers; or missing values
- Inferred table joins can double-count rows or connect unrelated keys
- A plausible chart can still use the wrong aggregation or denominator
- Natural-language questions may be ambiguous about time windows and business definitions
- Live database credentials create a high-value security target
- Public dashboard links can leak sensitive metrics when shared incorrectly
- PDF exports become stale snapshots even when the underlying dashboard is live
- AI explanations may attribute causes that the data only correlates with
- Large or complex warehouse queries can impose performance and compute costs
- Analysts must validate joins; transformations; definitions; access rules; refreshes; and narrative conclusions
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Overview
Before you subscribe
- Check the currency, billing period, automatic renewal, usage limits and seats at checkout — prices and promotions change.
- App-store pricing can differ from website pricing by country, device and tax.
- Share only authorised data, and read the provider's encryption, retention and model-training terms first.
- AI output can be incomplete or wrong. Verify facts, citations, calculations and code before you publish or ship.
- Commercial usage rights vary by plan, provider terms and jurisdiction.
- None of these tools replaces a qualified professional for medical, legal or financial decisions.
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