Chartio

Overview

Chartio tried to make business data explorable by people who did not write SQL. It connected to company databases and cloud sources, translated visual choices into queries, and rendered interactive charts and dashboards in a browser. Founder Dave Fowler described it as a translator between databases and humans.

The company survived a difficult start, found paying customers across more than 25 countries, and spent a decade pursuing self-service business intelligence. Atlassian acquired Chartio in February 2021 for about $45.6 million, then retired the standalone service in March 2022 so the team and technology could become an analytics layer across Atlassian products. Atlassian Atlassian annual report

Founding Story

Fowler began writing Chartio in 2010 because inspecting a database was needlessly indirect. He had to write a query, export results, or connect a charting library before he could see what the data meant. He wanted charts to be interactive starting points for exploration, not static answers assembled by specialists.

The path to launch was uneven. Fowler's own account lists Y Combinator, choosing not to raise at first, parting with a cofounder, running out of money, working alone for ten months, raising $20,000, recruiting another cofounder, and disappointing early customers before the product improved. Chartio moved from private beta to a general launch in November 2012, more than two years after the first code. Chartio

This history matters because the eventual product looked simple. A user connected a source, selected fields, added filters, and built a dashboard. Behind that interface, Chartio had to understand several SQL dialects, generate valid analytical queries, combine results, manage credentials, and keep dashboards responsive. Ease of use was the output of substantial hidden work.

Timeline

• 2010: Fowler begins building Chartio and enters Y Combinator's Summer batch.
• 2011: Chartio raises a reported $3.15 million Series A led by Avalon Ventures, with Bullpen Capital participating.
• 2012: The company opens its private beta and launches Chartio publicly in November.
• 2013: Chartio reports 500,000 charts per week and paying customers in more than 25 countries. Chartio
• 2014: It raises another $2.2 million and adds data blending, formulas, and analytics services. Chartio
• 2021: Atlassian acquires Chartio. The company reports 10.5 million charts, 540,000 dashboards, 280,000 users, and more than 100,000 connected data sources. Chartio
• 2022: The standalone Chartio service ends on March 1 while its team builds analytics for Atlassian.

What They Built

Chartio was a cloud business-intelligence product. It connected to transactional databases and analytical systems including MySQL, PostgreSQL, SQL Server, Redshift, BigQuery, Salesforce, and CSV files. Its visual query builder let users select columns, joins, filters, groupings, and calculations. Chartio generated the source-specific SQL and returned a visualization.

Dashboards supported interactive filters, scheduled email reports, tables, and a proprietary charting library. Data blending combined results from multiple sources without requiring a customer to create a warehouse first. The company also added professional services for customers who wanted analyst and database expertise alongside the software.

The product's central promise was broader access, not the elimination of data teams. Analysts could prepare schemas and trusted dashboards; business users could ask follow-up questions without entering a ticket queue for every chart. That promise required guardrails because direct database access also creates permission, performance, and metric-consistency risks.

Market Position

Target Customers

Chartio initially appealed to startups and internet businesses with cloud databases but small data teams. Its self-service onboarding and free trial contrasted with enterprise BI sales that began with a demo request. Public customers included Indiegogo, Mozilla, Ancestry.com, and the Dallas Museum of Art. Over time, the buyer could be a data leader, operations team, product team, or executive seeking shared dashboards.