Bitam Artus vs Embeddable comparison

Artus is the core of the BITAM Suite. It consists of three fundamental elements:

• Bitam Administrator - which contains all the metadata, facilitating the creation of multidimensional structures, user security, etc.
• Artus Designer - which allows easy and intuitive creation of scenarios.
• Artus Web User - platform from which the user can access the greater capabilities for the management of the Decision-Making Process.

Embeddable delivers seamless analytics integration with your application, ensuring analytics appear native to your user interface. Trusted by companies like Resident Advisor and Monta, Embeddable offers comprehensive analytics rendering via web components or SDKs such as React and Vue.

Designed to be fast and efficient, Embeddable features a robust caching system and lightweight data service, providing sub-second load times at any scale. With no-code capabilities, it simplifies dashboard creation for product managers and analysts, freeing engineering teams to focus on core developments. Its code-first approach, coupled with stack-agnostic flexibility, makes it suitable for any infrastructure, supporting major databases and both single and multi-tenant architectures.

• Native UI/UX Integration: Feels seamless within your application with no iframes.
• Speed: Sub-second load times due to a two-layer caching system.
• No-code Platform: Allows dashboard creation without engineers.
• Developer-friendly: Offers React SDKs and CI/CD integrations.
• Flexible Stack Integration: Compatible with major databases and architectures.

• Customization: Complete control over styling and theming.
• Time Efficiency: Builds and iterates in hours.
• Performance: Consistent fast load times at scale.
• Scalability: Supports thousands of users securely.

In sectors like SaaS and enterprise computing, Embeddable tailors its integration to match industry-specific requirements, showcasing adaptability from small startups to large enterprises. Its partnerships with Cube.dev and StarTree ensure easy integration into contemporary data solutions, offering a scalable deployment model for extensive user bases.