Design, Develop, & Deploy

Build data products as scalable, governed units – not pipelines

Automate the data product lifecycle and enhance development with templates

Scalable data ecosystems start with how data products are designed.


 

Better Time to Market

Increase iteration speed of delivery, by reducing cognitive load, automating deployments and anticipating governance issues

Embedded Context

Combine business meaning, domain ownership, and quality expectations with data at build-time, capturing context by design

Agile Provisioning

DevOps to support agile provisioning of data products to deliver a faster self-service platform with automated governance

Effortless Compliance

Make your data products compliant with company architectural, security, and governance guidelines with no effort

Build your data products through a fully owned lifecycle


 


Data Product Lifecycle

data product lifecycle

Fully orchestrate the lifecycle of data products, managing deployment, undeployment, rollback, and retirement.

Seamlessly transition between lifecycle stages ensuring efficiency, scalability, and security for your data product creators.

Data Contract Definition

data contract definition

Retrieve business glossaries from data catalogs to facilitate the metadata curation process.

After passing the quality gate, push all the metadata into the data catalog to ensure high quality and completeness.

Reverse engineer data catalog assets to start from a brownfield situation where a data catalog is already in use.

No more manual, error prone, and time consuming YAML editing.

These contracts provide a stable interface for downstream consumers, applications, and AI systems.

Documentation

documentation

The platform team can provide blueprints embedding proper documentation. Teams can easily consult it next to the code.

Developers can quickly reference necessary information without interrupting their workflow, which is particularly beneficial during the development and debugging processes.

Versioning

versioning

Data products can be versioned in minor versions that are backward compatible, and major versions for changes that are not backward compatible. When a major version is needed, the full product is duplicated as a new one, but the cloning and setup are completely automatic.

Witboost integrates with all the major Git providers, automating a wide plethora of operations.

DevOps Integration

devops integration

Augment your software development workflow lifecycle. Witboost integrates with existing CI/CD frameworks and pipelines, Infrastructure as Code (IaC) patterns, and develop complex logic using any language that the platform team is proficient with.

This approach enables a highly customizable platform capable of handling complex data application scenarios and multiple technologies. The goal is to convert data into products that generate value within a lifecycle that is code-oriented.

data product lifecycle

Fully orchestrate the lifecycle of data products, managing deployment, undeployment, rollback, and retirement.

Seamlessly transition between lifecycle stages ensuring efficiency, scalability, and security for your data product creators.

data contract definition

Retrieve business glossaries from data catalogs to facilitate the metadata curation process.

After passing the quality gate, push all the metadata into the data catalog to ensure high quality and completeness.

Reverse engineer data catalog assets to start from a brownfield situation where a data catalog is already in use.

No more manual, error prone, and time consuming YAML editing.

These contracts provide a stable interface for downstream consumers, applications, and AI systems.

documentation

The platform team can provide blueprints embedding proper documentation. Teams can easily consult it next to the code.

Developers can quickly reference necessary information without interrupting their workflow, which is particularly beneficial during the development and debugging processes.

versioning

Data products can be versioned in minor versions that are backward compatible, and major versions for changes that are not backward compatible. When a major version is needed, the full product is duplicated as a new one, but the cloning and setup are completely automatic.

Witboost integrates with all the major Git providers, automating a wide plethora of operations.

devops integration

Augment your software development workflow lifecycle. Witboost integrates with existing CI/CD frameworks and pipelines, Infrastructure as Code (IaC) patterns, and develop complex logic using any language that the platform team is proficient with.

This approach enables a highly customizable platform capable of handling complex data application scenarios and multiple technologies. The goal is to convert data into products that generate value within a lifecycle that is code-oriented.

BUILD - METADATA CURATION v2

Witboost Starter Kit

Use templates for automated repository setup, infrastructure provisioning, and standardization. They simplify workflows and guide the entire process.

For more complex needs, blueprints provide a complete scaffold that integrates multiple technologies and tools into a guided workflow.

With the Starter Kit, building data products is seamless and efficient—whether you’re starting with a single component or orchestrating a multi-technology initiative.

Check out the technical details of the Starter Kit!

Witboost integrates with any technology, which is why we're partnering up with the best in the business.

Explore our partners below!

Integrate Witboost in your Development Experience

Deep-dive resources