Companies that use HighCharts

Source: Analysis of 100 job postings that mention HighCharts

My analysis shows that HighCharts buyers are primarily technical leadership in software engineering roles, with Directors of Software Engineering and Engineering Managers making up the core purchasing decision makers. These leaders are hiring heavily for frontend talent (39% of postings) and prioritizing skills in modern JavaScript frameworks like React, Angular, and Vue. Their strategic focus centers on building scalable data visualization platforms, modernizing analytics dashboards, and delivering executive-level reporting capabilities.

The day-to-day users are predominantly frontend and full stack developers who integrate HighCharts into complex web applications. I noticed these practitioners work extensively with financial data, real-time analytics, network monitoring systems, and business intelligence platforms. They combine HighCharts with technologies like TypeScript, React, Angular, and various data visualization libraries to create interactive dashboards that handle massive datasets and provide insights to end users across industries like fintech, healthcare, energy, and enterprise SaaS.

The pain points reveal a consistent need for performance optimization and scalable solutions. Companies repeatedly mention requirements like building applications that process billions of events, creating intuitive interfaces that simplify complex data, and delivering high-performance visualizations for large datasets. One posting emphasizes the need to create dynamic infographics with intuitive user controls, while another focuses on empowering self-service of platform capabilities through complete user experiences. The overarching goal is transforming raw data into actionable insights that drive business decisions.

Source: Analysis of tech stacks from 365 companies that use HighCharts

I noticed that HighCharts users tend to be established, enterprise-focused companies with serious data analytics needs and mature compliance requirements. The strong presence of tools like Dynamics365 Finance and Operations, combined with enterprise security solutions like Proofpoint and Rubrik, tells me these are mid-to-large businesses that handle sensitive financial or operational data and need to visualize it effectively for internal stakeholders.

The pairing of HighCharts with Google Analytics at such high rates makes perfect sense. These companies are using analytics platforms to collect data, then using HighCharts to create custom visualizations that communicate insights to executives and team members. The presence of CookieScript alongside these analytics tools suggests they're running sophisticated data collection operations while staying compliant with privacy regulations. Meanwhile, Rubrik appearing 93 times more frequently indicates these companies manage significant data infrastructure that requires enterprise-grade backup solutions, which aligns with organizations that treat their data visualizations and analytics as business-critical assets.

My analysis reveals these are primarily sales-led or operations-led organizations rather than product-led companies. The combination of Dynamics365 Finance and Operations with security training platforms points to companies with complex internal processes and compliance requirements. They're likely past the startup phase, operating at a scale where they need to protect substantial data assets and train employees on security protocols. The widespread use of Google Search Console suggests they also invest in organic digital presence, but the overall stack screams "established enterprise" rather than "fast-growing startup."

Source: Analysis of Linkedin bios of 365 companies that use HighCharts

I noticed that HighCharts users span an incredibly diverse range of sectors, but they share a common thread: they're organizations that need to present complex data to stakeholders. These include financial services firms managing investments and providing market intelligence, government agencies and central banks publishing economic statistics, mining and energy companies reporting production metrics, real estate groups tracking property portfolios, research institutions analyzing health data, and media companies visualizing news and market trends. What unites them isn't what they sell, but rather their need to transform raw data into clear, digestible visual formats for decision-makers, regulators, investors, or the public.

These are predominantly established, mature organizations. The employee counts skew toward 50-500+ staff, with many government entities and public companies in the mix. Several mention decades of history (30+ years, 50+ years, "since 1989"). The funding stages, where listed, show post-IPO companies or those with private equity backing rather than early venture rounds. These aren't scrappy startups experimenting with MVPs.