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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.
What features make Embeddable stand out?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.
kdb Insights brings the small but mighty kdb engine to data scientists and engineers with full support for Docker and Kubernetes and native integration with industry-standard programming languages. It’s the fastest time series analytics engine!
Fully cloud-enabled to operate on AWS, Azure, and GCP as well as on-prem private-cloud environments, kdb Insights allows you to harness the technology that powers Wall Street directly within your cloud services. It lets you modernize your cloud-native analytics stacks and develop transformative machine learning operations (MLOps) pipelines.
With kdb Insights Enterprise Edition – the fastest and most efficient time series analytics engine in the cloud – you can harness the technology that powers Wall Street. With its integrated data management and streaming analytics engine, kdb Insights Enterprise makes it easier for data scientists and analysts to create robust, production-ready data-driven applications. Using an easy-to-use interface, data scientists and business users can work alongside expert coders to design real-time pipelines and dashboards and deploy them into resilient, high-availability, and autoscaling infrastructures.
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