What is Witboost?
Witboost is a Data Management Platform designed to help companies define, manage, and govern their data landscape efficiently. It provides a structured environment where teams can implement best practices for data management while maintaining flexibility in their technological and organizational choices.
Witboost Modules
Witboost is built around two main planes:
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Control Plane: This plane enables teams to build and govern data projects using automation, templates, and computational policies. It includes:
- Builder: A module for creating and managing data projects based on predefined templates, embedding best practices and governance compliance from the beginning.
- Computational Governance: A module for enforcing policies, quality rules, and best practices at both deployment and runtime. Also providing data contracts enforcement in real-time.
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Market Plane: This plane serves as the central hub for discovering, reviewing and consuming data projects. It allows users to:
- Explore available data projects in a structured marketplace.
- Request access to data assets to data projects owners
- Leave feedback and ask questions to the data project team
An overview on the control and market planes. This is an example Witboost implementation in a Data Mesh setting.
Witboost Principles
Bring Your Own Data Landscape
While Witboost was born to accelerate companies adopting the data mesh paradigm, it extends beyond that. The platform allows your organization to model and enforce any data management practice, thanks to the Practice Shaper. Whether you are adopting a data mesh, managing a centralized data platform, or running a hybrid approach, Witboost adapts to your specific needs.
Technology-Agnostic & Scalable
Witboost does not enforce a specific technology stack. Instead, it supports a template-based mechanism that allows your organization to integrate their existing tools, infrastructures, and data processing technologies without worrying about any lock-in.
This makes it suitable for:
- Multi-cloud and hybrid environments
- Diverse data practices or architectures (data mesh, data warehouse, lakehouse, etc.)
- Various data processing paradigms (batch, streaming, real-time analytics)
Automation & Standardization
Witboost automates data management processes through Tech Adapters and Templates, which integrate with various infrastructure and application layers to ensure seamless deployment. These adapters allow your organization to:
- Speed up development time and promote standardization with projects templates.
- Integrate with any technology and cloud provider of your choice
Self-Service Capabilities
Witboost empowers different actors within your organization, including Platform Teams, Governance Teams, and Data Owners, to operate autonomously while remaining compliant. The self-service approach enables:
- Platform Teams to define golden paths and automate infrastructure provisioning.
- Governance Teams to enforce computational policies at every stage of the data lifecycle.
- Data Owners and Consumers to interact through the Market Plane, ensuring transparency and accessibility.
Governance Embedded in the Workflow
Witboost implements shift-left governance, meaning checks are embedded in the data lifecycle from creation to deployment. This ensures that:
- Policies are validated before data projects go live.
- Governance checks can also be setup to act in real-time, avoiding impacts to downstream consumers.
Future-Proof & Extensible
New data practices and technologies can be onboarded without disrupting existing processes, thanks to Witboost's modular and extensible architecture. Your organization can:
- Introduce new Tech Adapters for evolving infrastructure needs.
- Extend governance rules to cover new compliance requirements.
- Adapt the data landscape to fit new business requirements