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Embeddable Analytics: Powering Data Insights
#Analytics#Data#Developer#API#CustomizableProduct information
Embeddable Analytics is a cutting-edge tool designed to integrate customizable dashboards and seamless backend analytics into applications. It empowers users with dynamic visualizations and actionable insights, offering a developer toolkit that allows for the creation of fast, interactive, customer-facing analytics directly within their products.
The platform supports full control and flexibility, enabling developers to define reusable charting components in React.js or leverage an open-source component library. These components can be integrated into existing design systems and CSS frameworks, ensuring a cohesive look and feel across platforms. The code resides in the user's git repository, facilitating easy version control and CI/CD integration.
Embeddable Analytics also emphasizes effortless design and build processes. Developers can push components to Embeddable using an SDK, allowing non-technical teams to craft and iterate on user experiences with drag-and-drop simplicity. Users can create powerful interactions between charts and will soon have self-serve capabilities to customize their dashboards fully.
The tool offers next-gen embedding, where dashboards can be integrated as HTML Web Components without iframes, ensuring a native user experience. It includes server-side generated security tokens for data privacy and boasts lightning-fast response times with customizable caching layers.
Embeddable Analytics provides flat-rate pricing, allowing unlimited users, dashboards, and viewers without hidden costs. It prioritizes security with built-in row-level security and offers top-tier support, including a Slack community and VIP enterprise assistance.
The platform is used by leading companies worldwide, from startups to large enterprises, and is backed by investors behind major developer tools. It supports a wide range of databases and is compatible with popular libraries and frameworks, making it a versatile choice for enhancing user-facing analytics.
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