Headless BI

Providing consistent, real-time insights to every data consumer

 

What is Headless BI?

Headless BI provides consistent, real-time insights to an array of different data consumers: Excel; BI tools like Power BI, Qlik, and Tableau; data science notebooks; and applications. It achieves consistency and governance via a common semantic model and single-source metrics.

Find out more about Headless BI

Why build on top of Headless BI?

Don’t waste time rebuilding models, metrics, visualizations, security, or deployment. Build a single version of truth — once. See how headless BI compares to traditional BI deployments:

Headless BI

Traditional BI

Single source of metrics

Yes

-

Real-time analytics

Yes

-

OpenAPI-based integration

Yes

-

Declarative definitions

Yes

-

CI/CD pipeline deployment

Yes

-

Composable UI

Yes

-

Self-service analytics

Yes
Yes

Microservices architecture

Yes

-

Common data source connectors

Yes
Yes

User management and SSO

Yes
Yes

Flexible deployment (Private DC, AWS, GCP, Azure)

Yes

-

Metrics with consistent results

Metrics with consistent results

Metrics with consistent results

  • Work with composable metrics that can be reused in different contexts — without deep knowledge of the underlying data structure.
  • Build analytics on top of easy-to-use semantic data abstractions.

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Compatible with third-party BI tools

Compatible with third-party BI tools

Compatible with third-party BI tools

  • Make metrics and insights available to all of your data consumers, including external BI tools, machine learning systems, and notebooks.
  • Seamlessly integrate with existing data tools.

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Compatible with developer ecosystems

Compatible with developer ecosystems

Compatible with developer ecosystems

  • Inbuilt elasticity dynamically reacts to data volume and user traffic.
  • Easy to deploy through technologies like Kubernetes and CI/CD pipelines.
  • OpenAPI layer for easy integration.
  • Automated code promotion through the declarative definition of all analytical objects stored in version control system (VCS) repositories such as GitHub.
  • Multi-tenant architecture.

Rapid front-end application development

Rapid front-end application development

Rapid front-end application development

  • Build dashboards programmatically in your native programming language.
  • Use GoodData.UI SDK to easily build or embed analytical content via iFrame or JavaScript frameworks (React, Angular, and Vue).
  • Alternatively, use our ready-made self-service UI that can be customized and embedded to fit your product.

Making every decision data-driven

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