“Good design is as little design as possible.” - Dieter Rams The best analytics systems don’t draw attention to themselves. They simply work; adapting as products grow, data scales, and user needs change. ChartFactor is built around that principle. Its architecture avoids unnecessary layers, keeps execution close to the browser, and exposes behaviour clearly to developers. The goal isn’t to abstract everything away, it’s to keep analytics understandable, adaptable, and durabl

When analytics are bolted onto a product, they tend to age badly. Updates become risky, performance tuning turns painful and customisation can feel constrained. ChartFactor takes a different approach. Its modular components embed directly into your product UI, with browser-based execution and full code transparency. Teams retain control over behaviour, interaction, and performance, without taking on any unnecessary backend complexity. Recent Toolkit updates reinforce this pro

Geographic data only creates value when users can interact with it fluidly - without waiting for queries or wrestling with overloaded maps. ChartFactor’s geo capabilities are built to support just that kind of experience from day one. Interactive maps render client-side, keeping zooming, filtering, and exploration responsive even under heavy use. As users move through different levels of detail, precision adjusts naturally through techniques like geohash clustering; revealing

“It’s not the strongest of the species that survives…but the one most responsive to change.” - Charles Darwin In data products, adaptability matters more than almost anything else. Datasets grow. User expectations shift. What worked at launch often struggles under real-world scale and pressure. ChartFactor is designed with that reality in mind. Its browser-native execution model, modular components, and transparent architecture allow teams to evolve analytics alongside the pr

Analytics should feel like a core part of your product, not a separate system which users have to tolerate. That’s why ChartFactor’s Toolkit is designed to help teams build analytics that feel native, responsive, and reliable - especially as data volumes grow. Recent Toolkit updates reflect strong user feedback around real-world usage. Scrolling performance for very large tables has been improved with a configurable “slow scroll” mode, helping prevent accidental jumps when wo

“Design is not just what it looks like and feels like. Design is how it works.”  - Steve Jobs Launching a SaaS product is only the beginning. What matters is that your analytics evolve with your users, your data growth, and your product roadmap. ChartFactor is built with that principle at its heart - offering browser-native performance, modular embedding, full developer visibility through code transparency, and advanced interactive features like filtering, drill-downs, and ge

For data-centric SaaS startups or product teams, visual analytics has become an essential requirement.  But embedding dashboards, managing BI servers, and buying expensive analytics platforms can drain your finances and slow your pace.  ChartFactor offers a smarter path. You get a modular, embeddable analytics layer with interactive features-filters, drill-downs, geo-visuals-built to scale from the first user to thousands, and from gigabytes of data to petabytes. Early-stage

A powerful new version of the ChartFactor Pivot Table is here, currently supported for Google BigQuery. If you build visual analytics...

Want to see how your team is spending their time without paying for extra plugins? If your team logs work in Jira and you use ChartFactor...