Open Data Lakehouse

Take your organization’s data to the next level

Centralizing data management for all use cases helps reduce maintenance costs and boosts your team’s productivity.
Everything you need in one place, no matter what you aim to achieve.

We offer flexible and adaptable platforms that enable clients to support a wide range of data usage scenarios - from standard reporting and analytics to advanced machine learning and artificial intelligence. Our approach combines the best of two worlds: data lakes and data warehouses. Data lakes offer flexibility in tool usage and the ability to perform any type of data usage, while data warehouses provide structured, SQL-accessible data with lower latency and robust database-like permission management. This hybrid model is ideal for mature organizations aiming to simplify data management through centralized platforms and standardized practices across the organization, while remaining open to diverse current and future needs.

Our Approach

Discover and Align

Understand the current data landscape, business goals, and technical constraints. We assess existing systems, define key use cases, and align on the vision, priorities, and success metrics for the Open Lakehouse. The outcome is a shared understanding and a clear roadmap to guide the next steps of the implementation.

Run a Proof of Concept Together

Validating the Open Lakehouse approach in a real-world context. We collaboratively build a working prototype that demonstrates key use cases, integrates critical data sources, and tests performance, scalability, and usability. The goal is to reduce risk, gather feedback, and ensure the solution meets both technical and business expectations.

MVP and First Use Cases Implementation

We implement the first high-priority use cases to generate immediate business value, establish foundational data workflows, and validate the platform’s effectiveness in production. This sets the stage for broader adoption and future scalability.

Scale and Enable

Expanding the platform’s capabilities across the organization. We scale infrastructure, onboard new teams and use cases, and implement governance, security, and automation standards. At the same time, we empower your teams through training, documentation, and best practices to ensure sustainable and independent growth of the Open Lakehouse ecosystem.

Optional Managed Services

If needed, we offer ongoing support through managed services. This includes platform monitoring, maintenance, incident response, cost optimization, and operational enhancements - allowing your team to stay focused on business goals while we ensure your data platform runs smoothly and reliably.

Key Benefits

Tailored Platform

Built to fit your unique business needs - no overengineering, just a lean, efficient foundation that remains flexible and ready to grow with you.

Competence-Aligned Tools

Tools chosen to match your team’s skills - empowering analysts with familiar interfaces and enabling engineers with robust, production-ready capabilities.

Cost-Effective and Scalable

Balances performance and cost to deliver budget-friendly solutions. Lowers entry barriers, minimizes resource consumption, and supports flexible deployment options - from affordable custom setups to pay-as-you-go models.

Versatile and Modular Architecture

One flexible solution to meet both current and future needs across diverse workloads. Built with modular, loosely coupled components that can be easily replaced or extended as requirements evolve.

Seamless Integration

Easily integrates with your existing environment and workflows, ensuring smooth adoption without disrupting current operations.

DevOps and DataOps Principles

Built on Infrastructure as Code (IaC), Continuous Integration/Continuous Deployment (CI/CD), and automated validations to ensure reliable, repeatable, and efficient development and operations.

Our Ideas

Insights & Perspectives

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Clash of The Data Catalogs - Market Leaders vs. Challengers

We break down the concept of a data catalog, highlight emerging open-source projects that are gaining momentum

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Data Lakehouse Storage Layer - Openness, Interoperability and Performance

From the evolution of file formats like Parquet and Avro to the rise of open table formats such as Delta, Hudi, and Iceberg. We cover performance tuning techniques - like partitioning, Z-ordering - plus key concepts like deletion vectors.

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