Onvo

Onvo

Onvo is a data intelligence platform that connects to databases and spreadsheets, automatically cleans and normalises messy data, and builds live, shareable dashboards with built-in AI analytics and embedding capabilities for teams and products.

Onvo is business intelligence software teams evaluate for content & marketing. Use this page to review pricing, integration signals, and the best alternatives before you commit.

Freemium API Enterprise 80/100
#140 in Business Intelligence (140 tools)
Added 5 months ago
Data reviewed Jul 16, 2026

Profile facts come from the vendor source. AiMatch labels unknown pricing or API details instead of estimating them.

Review official source →

Quick Overview

Best for: Content & Marketing

What it does

Business Intelligence software for decision-makers comparing workflow fit and alternatives.

Best fit

Content & Marketing

Pricing snapshot

Freemium from $17 / user / month (billed $204 / yr per user)

Next step

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Onvo

Onvo is a cloud data intelligence platform that connects to databases, spreadsheets, CSVs, and REST endpoints to build live dashboards. It automatically cleans common spreadsheet and data issues (merged cells, broken dates, #VALUE! errors, mixed formats) and discovers schema relationships so teams can explore data, ask questions in plain English, and generate charts and reports without writing SQL. The product targets data teams and enterprise use cases, offering embedding, per-client workspaces, scheduled reports, anomaly alerts, and an SDK for integrating dashboards into other products.

Onvo is a data intelligence platform that connects to databases and spreadsheets, automatically cleans and normalises messy data, and builds live, shareable dashboards with built-in AI analytics and embedding capabilities for teams and products.

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Key Features

Data connectors

Connects to PostgreSQL, MySQL, Microsoft SQL, ClickHouse, MongoDB, Snowflake, Google Sheets, Excel, CSV uploads, REST APIs, and any datasource with a JDBC or REST connection.

Automatic data cleaning

Finds and fixes broken rows, merged cells, inconsistent dates, #VALUE! errors and mixed formats before building dashboards, with visibility into what changed.

Auto-discovered schema & relationships

Automatically maps relationships between tables and discovers schemas so joins and relational bindings are suggested without manual configuration.

AI analyst / natural-language queries

Ask questions in plain English (e.g., 'Why did sales drop last week?') and Onvo queries the connected data, returns readable explanations and supporting charts.

Live dashboards & chart builder

Build interactive charts and dashboards that update live as underlying data changes; modify charts with prompts (e.g., change chart type or filter top values).

Embedding & SDK

Embed live dashboards into other products via iFrame or SDK (example shown: @onvo-ai/react), with per-user token scoping to isolate data per user.

Scheduled reports & alerts

Schedule PDF reports to be emailed on a cadence and set anomaly/threshold alerts to notify stakeholders when metrics cross defined rules.

Brand standards & theming

Apply brand colours, tokens, and chart styling so dashboards and exports follow company guidelines consistently.

Workspaces & access control

Create isolated client workspaces, set permissions, and ensure each client only sees their own data.

Pricing

Free Tier Available

3-day free trial · No credit card required

Starter

$17 / user / month (billed $204 / yr per user)
  • Up to 50 dashboards
  • Up to 20 datasources
  • AI Assistant with fair usage limits
  • Custom styling

Enterprise

Custom / tailored pricing
  • Unlimited dashboards & datasources
  • 20× AI usage limits
  • Schedules, alerts & embedding
  • Custom integrations

Use Cases

Self-serve analytics for product and marketing teams

Non-technical users can connect spreadsheets or databases and ask questions in natural language to get charts and explanations without relying on data engineers.

Embedded analytics for SaaS products

Product teams can embed Onvo dashboards into their product via iFrame or SDK to provide analytics to customers without building their own analytics layer.

Client reporting and white-label analytics

Create separate client workspaces, export scheduled PDF reports, and white-label dashboards with brand colours and fonts for delivery to clients.

Monitoring and alerts

Set metric thresholds and anomaly detection to notify teams when important KPIs move unexpectedly.

Data cleanup and preparation

Automatically fix common spreadsheet and data quality issues so dashboards reflect correct, consistent numbers.

Integrations

PostgreSQL / MySQL / Microsoft SQL / ClickHouse / Snowflake

Direct database connectors for common analytical and transactional databases.

MongoDB

Connector for document stores.

Google Sheets / Excel / CSV uploads

File and spreadsheet sources for analysts and business users.

REST APIs / JDBC

Connect any data source that exposes a URL, REST endpoint, or JDBC connection.

Embedding SDK

Client SDK (example: @onvo-ai/react) and iFrame embedding for product integrations.

Benefits

Reduces time spent by data teams on cleaning and preparing data by automatically fixing common issues.
Generates live, up-to-date dashboards that refresh on a schedule so stakeholders always see current numbers.
Enables non-technical users to get answers from data via natural-language AI, reducing dependence on SQL.
Allows embedding and white-labeling of analytics into other products, accelerating product development.
Provides per-user data isolation and workspace controls for secure multi-client deployments.

Limitations

No verified limitations are available.

Frequently Asked Questions

No verified FAQs are available.

Getting Started

  1. 1 Step 1: Connect your data — paste a database URL, upload a spreadsheet, or drag in a CSV (supports PostgreSQL, MySQL, Google Sheets, Excel, CSV, REST APIs, etc.).
  2. 2 Step 2: Let Onvo clean and discover schema — it automatically fixes merged cells, broken dates, and other inconsistencies and maps table relationships.
  3. 3 Step 3: Start exploring — ask questions in plain English, build charts, add them to dashboards, schedule reports, or embed dashboards into your product.

Support

Docs

Documentation and Help Center referenced from the site (Docs, Help Center links listed on the page).

Email / Slack / Call Support

Enterprise support options: Email, Slack and call support with typical response times noted (typically responds within 1 business day).

Sales / Demo

Book a Demo or Schedule a call for Enterprise onboarding and custom integrations.

API

Available: Yes

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