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Discover, Elevate and Productize your data

Witboost is a modular platform, that can solve many real-world Data Engineering problems, by empowering enterprises to discover, elevate and productize their data, and build automated data platforms driven by data governance best practices.

It provides a real and high fidelity view of the entire lifecycle of your Data Components. Starting from the creation and ending with the consumption, it removes overheads, IT expenditures, reduces time-to-market, and helps companies become data-driven.

Witboost comprises of a series of modules. These are building blocks that can work as standalone modular solutions to address and solve a single need or problem. They can also be combined to create the perfect all-encompassing platform for your company.

Get started in minutes with our new Witboost Starter Kit, now available with two features that let you hit the ground running: Templates and Provisioners.

Create reusable, tested and validated templates that are fully automated and are instilling best practices, software quality and security, thus becoming tech agnostic. Create computational governance policies acting at deploy time and runtime, collecting results in a unified location for better auditing and monitoring. Manage the end-to-end governance process of your data components.

Establish transparent and automatically enforced contracts between the platform and its users, creating guardrails for a better, high quality and secure data initiatives. Use your data toolbox to provide the necessary tools to monitor and audit the data pipelines, data access and usage.

The platform is built with often-ignored data security in mind. Protect the organization from data breaches and compliance violations. Implement Data Mesh, Data Lake, DWH and ML platforms with high quality standards and velocity, moving at the speed of business. Don't let your data lag behind business decisions.

Get started in minutes with Witboost Starter Kit, first release now available with two features: Provisioners and Templates.

Your Tech Stack + Witboost


Forget about technology or vendor lock-in thanks to technology agnostic principles. Fully extensible and open for customizations through plugins and microservices on backend and frontend. Streamline your workloads by generating a consistent user experience for the entire set of activities to be performed. Streamline the data engineering process and improve the overall development.

What Witboost Brings to Your Data


Witboost significantly reduces the time, effort, and costs associated with data-centric initiatives, providing a superior platform user experience.


Say goodbye to governance disconnections and reduce overall risks with automation and enforcement capabilities.


Promote effective collaboration within your data team and with other stakeholders, fostering a thriving community of practice.

Tech Agnosticism

With Witboost, you can innovate without limits. Experience technology agnosticism and bring down the costs of technology evolution.


Take a knife to your costs with a 20% cut in Maintenance & Operation budget, translating to savings of €1M/year.

Deploy Witboost and see a spectacular €3.5M/year in ROI within just three months.

Free up your team to focus on tasks that move the needle with a 25% decrease in Change Management timelines.

Witboost Success Cases

Agile Lab success cases in the banking industry.


In the competitive vertical of Banking where accurate and reliable data, as well as security, are crucial for an organization's success, our client has been powering its adoption of a new data architecture with Witboost since February 2023. Adopting a new architecture as the world's 34th largest bank by assets is no easy task.

With Witboost, users skillfully navigate and use the platform with minimal effort and domains are providing a wealth of self-service facilities, including Storage, Data Ingestion, Orchestration, ETL, SQL Access, Kafka, and Stream Processing.

Since then, they have released over 50 Data Products and are set to release another 50 in the upcoming months. This speed has been achieved with the implementation of golden paths, with minimal effort and often without the full knowledge of the specific principles that are usually required.



Learn how Poste Italiane orvercomes the limitations of DWH by switching to a Data Mesh Architecture using Witboost. This move enabled their omnichannel strategy to flourish and obtain business-level speeds with decentralized domains, infrastructure as code principles, and interoperable data products. Using Witboost's automation and technology agnostic capabilities, they reduced new opportunities' time to market.

Agile Lab success cases in the manufacturing industry.


Explore how Scania uses Witboost to implement Data Mesh. Their multiple business units, spanning across the world, had to communicate with a centralized IT and Engineering team, creating friction. Witboost's collaboration and template/scaffolding features, together with its Provisioning and Governance capabilities significantly reduced organization-wide adoption and decentralization of the business units.


Try Out Witboost

Try out Witboost by cloning templates, creating policies and building data components. Here’s an example based on Covid-19 datasets:

An example of Witboost's capabilities through a playground trial, where users can test and mold their data products into valuable business assets.


Covid datasets are your operational system, and now you need to start to craft domains and Data Components in the analytical space. In this context we have three domains:

  1. Demographic
  2. Healthcare
  3. Economic Impact

The overall documentation is guiding you to create your first Data Components about vaccinations, but then you can continue to create other Data Components also in other domains and connect them to each other.

The technological stack is already integrated in the playground so there is no much work for the Platform Team, even if they can create new governance policies. Instead, the Data Component team can start to clone templates and follow this walkthrough.

This sandbox starts with all permissions needed in order to implement all the required features and process and share data as a product.

Our goal is to set up a workflow that automatically reads Vaccination CSV data from Google's Covid Dataset, stores it in a database, and creates an output port for users and other data components to read from. In order to achieve that, we will use:

  • Airbyte to transfer the data from the source to a database in Snowflake
  • Snowflake for the storage and output port functionalities
  • An MWAA script for the orchestration part

The following illustration summarizes the proposed solution for a Data Component architecture:

An example of Witboost's capabilities through a playground trial, where users can test and mold their data products into valuable business assets.



Want to see more of what Witboost can do?


Make it your Playground!


Witboost: Data Mesh Enabler


Discover Witboost also as an enabler of Data Mesh architectures, thanks to its technology agnostic design and close adherence to the four pillars of the Data Mesh paradigm. Discover how Witboost can help you implement Data Mesh faster, following the paradigm's pillars below:

Domain-Oriented Ownership



A unified workspace for each domain with full autonomy in delivering value, while leveraging the platform's capabilities end-to-end.

Self-Service Data Infrastructure as a Platform

Profoundly automate your Mesh with Templates. Each has full provisioning automation along the entire data product lifecycle.

Federated Computational Governance

Enforce your governance with computational policies along the delivery process. All handled by the platform.

Data as a Product




Standardize data as a product thinking with Templates and boost interoperability across data silos, ultimately breaking them down.

Witboost is the ideal platform upon which to build a Data Mesh solution for companies on any size. When Vishnu Chintamaneni, director of Engineering and Anjali Gugle, Product Security and Data Strategy Manager at Cisco (one of the largest technology companies in the world, ranking 74 on the Fortune 100 list) envisioned "Stellaris" - a new data and API platform based on the Data Mesh architecture, the choice was obvious: build it on the Witboost platform.

The project aims at solving the scalability problem of their current architecture, due to highly coupled pipeline decomposition, hyper-specialized ownership, and loss of content. All this leads to ineffective data management and weak governance, stifling productivity and innovation. The solution is a Data Mesh architecture built on Witboost.

This will allow Cisco to become more data-driven, democratize data, making it available securely for proper use, increase data literacy and data quality, enable visibility, clarify ownership, and provide transparency. In other words, the goal is to solve the issues presented by centralized, monolithic data lakes by treating domain-based data as the end product. This will empower separate business domains to host and serve their datasets in an easily consumable way and also enable analytics that truly reap the benefits of data.

Witboost Resources

Innovative Framework

Governance Shift Left: A Data Governance Framework for Long-term Enterprise Success

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White Paper

The Script that Fixes Your Data: Metadata as Code


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Policy Use Cases

Journey into the Lifecycle of a Computational Policy


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White Paper

Automating Complex Provisioning for Data Applications


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Discover the Witboost Modules

Circle illustration of Witboost's Data Product Builder module.

The Data Product Builder speeds up data centric application development and lowers Data Component creation barriers with the use of templates

Circle illustration of Witboost's Computational Governance Platform module.

The Computational Governance Platform automates and enforces Data Governance along the entire process, increases overall quality standards and reduces risks

Circle illustration of Witboost's Data Product Marketplace module.
The Data Product Marketplace makes data products discoverable and observable while enhancing transparency and trust around them