ONE SOVEREIGN DATA FOUNDATION

The Lakehouse

The Lakehouse merges the flexibility of a data lake with the speed of a warehouse — unifying structured tables, unstructured knowledge, and vector embeddings under one sovereign roof, ready for analytics and AI.

Open Iceberg Tables

Native support for Apache Iceberg and other open table formats — your data stays yours, queried in place with no lock-in.

Lightning OLAP

StarRocks' vectorised engine and materialised views power real-time SQL — from dashboards to agent reasoning — without data duplication.

Integrated Vector Search

Store and query embeddings alongside traditional data, making the Lakehouse instantly ready for AI.

Definition

The Lakehouse is the high-performance data foundation of the platform. It merges the flexibility of a data lake with the speed of a data warehouse, unifying structured tables, unstructured AI knowledge, and vector embeddings in one sovereign store — so analytics and AI run on the same data without duplication.

Built on StarRocks over open table formats such as Apache Iceberg, this sovereign data platform keeps your data yours: no proprietary lock-in, no copying data between a lake and a warehouse. StarRocks' vectorised MPP engine delivers sub-second, high-concurrency SQL — powering everything from dashboards to agent reasoning — and integrated vector search makes the same store instantly ready for AI workloads, all underpinning the Cognitive Enterprise.

Where it fits

Lakehouse in the Scrydon platform

One integrated, sovereign architecture. Here is where Lakehouse sits — highlighted against the full stack it works with.

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Unified storage, structured compute, and secure multi-modal data processing.

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A closer look

Lakehouse in depth

Lakehouse
Tables
Knowledge
High-Performance OLAP Engine
Real-time SQLVector SearchFast JoinsMaterialised Views
Storage & Ingestion
Open Table FormatsStreamingBatch Files

Lakehouse

The Lakehouse is the high-performance data foundation underpinning the Cognitive Enterprise. It is built on StarRocks — a blazing-fast, vectorised MPP query engine delivering sub-second analytics, real-time updates, and high concurrency — and queries open Apache Iceberg tables directly, merging the flexibility of a data lake with the speed of a warehouse under a single, sovereign roof.

  • Open Iceberg tables: Query Apache Iceberg and other open table formats directly — your data stays yours, with no proprietary lock-in and no data movement.
  • Lightning OLAP: StarRocks' vectorised engine, cost-based optimiser, and materialised views power real-time SQL — from dashboards to agent reasoning — without data duplication.
  • Integrated Vector Search: Store and query embeddings alongside traditional data, making the Lakehouse instantly ready for AI workloads.
LAKE + WAREHOUSE, UNIFIED

One store for tables, knowledge, and vectors

The Lakehouse removes the split between data lakes and warehouses. Structured tables, unstructured knowledge, and vector embeddings live together in one sovereign store, queried in real time and shared by analytics, agents, and the ontology alike.

  • Open Iceberg tablesApache Iceberg and other open formats keep your data portable, queried in place with no lock-in.

  • Lightning OLAPStarRocks' vectorised MPP engine delivers sub-second, high-concurrency SQL — no data movement required.

  • Integrated vector searchEmbeddings stored and queried alongside your data, ready for AI workloads.

  • Foundation for the Cognitive EnterpriseUnderpins the Cognitive Enterprise, feeding fresh data into the model.

WHY IT MATTERS

No copies, no lock-in, no compromise

Splitting data across a lake and a warehouse means duplication, drift, and cost — and proprietary formats trap your data. The Lakehouse unifies storage and compute on open formats inside your perimeter, so analytics and AI work on one current, sovereign copy of the truth.

FAQ

Frequently asked questions

What is a lakehouse?+
A lakehouse is a data architecture that merges the flexibility of a data lake with the performance of a data warehouse. Scrydon's Lakehouse unifies structured tables, unstructured knowledge, and vector embeddings in one sovereign store, so analytics and AI run on the same data without duplication.
What is it built on?+
The Lakehouse is built on StarRocks — a vectorised MPP engine delivering sub-second, high-concurrency SQL — over open table formats such as Apache Iceberg, so your data stays portable and free of proprietary lock-in.
Does it support AI and vector search?+
Yes. Vector embeddings are stored and queried alongside traditional data, so the same store is immediately ready for retrieval, agent reasoning, and other AI workloads — no separate vector database required.
How does the Lakehouse relate to the Cognitive Enterprise?+
The Lakehouse is the data foundation beneath the Cognitive Enterprise: it holds the raw, multi-modal data that the ontology gives meaning to, and continuously feeds fresh data into the model.

Email us

Prefer to write? Email hello [at] scrydon.com and we will get back to you.

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