Open Data Lakehouse 

An Open Data Lakehouse is a hybrid data platform that combines the flexibility and scale of a data lake with the structure, queryability, and governance of a data warehouse. It uses open storage and table formats (e.g., Parquet, Avro, Delta, Hudi, Iceberg) so you can run diverse workloads—analytics, reporting, ML/AI, and real-time streaming—on a single centralized platform while retaining SQL accessibility, performance optimizations, and robust access controls.

Key benefits include reduced maintenance and operational complexity through centralization, faster time-to-insight by supporting many use cases on one platform, cost-effective scalability, modular architecture that evolves with needs, seamless integration with existing tools and workflows, and improved governance and security across datasets. It also enables teams to use tools aligned with their skills (analysts use SQL; engineers use scalable compute engines).

Xebia follows a phased approach: 1) Discover & Align – assess current landscape, define use cases and success metrics; 2) Run a Proof of Concept – build a prototype validating performance and integrations; 3) Implement an MVP – deliver first high-priority use cases into production; 4) Scale & Enable – expand platform, governance, automation and train teams; 5) (Optional) Managed Services – ongoing monitoring, maintenance, incident response and cost optimization.

Timelines vary by scope and complexity. A typical engagement starts with a short discovery and alignment phase (weeks), a POC (several weeks) to validate feasibility, and an MVP delivering initial high-value use cases in a few months. Full scaling and organization-wide adoption depend on the number of use cases and teams but is designed to be incremental to deliver measurable value early.

The offering emphasizes openness and interoperability: common file formats like Parquet and Avro, open table formats such as Delta, Hudi, and Iceberg, and a variety of compute engines and deployment models. Tool selection is competence-aligned—Xebia chooses tools that match your team’s skills and the workloads (analytics, streaming, ML) you need to run.

Governance and security are built into the platform during scale and enablement: centralized access controls, role-based permissions, audit logging, and data management frameworks. Xebia implements best practices for data governance, compliance controls, and operational policies, and supports automation and validations to ensure regulatory and organizational requirements are met.

Deployments are flexible to meet budget and operational preferences—options include cost-conscious custom setups, pay-as-you-go cloud models, and hybrid deployments. Xebia focuses on balancing performance and cost, using modular components and cost-optimization practices. Exact pricing depends on scope, chosen technologies, cloud provider usage, and whether you opt for ongoing managed services.