What It Is
A lakehouse keeps data in open formats such as Parquet on object storage, while a table format like Apache Iceberg or Delta Lake adds transactions, schemas, and indexing.
Key Points
- Single copy of data: serves dashboards, SQL analytics, streaming, and machine learning.
- Open formats: avoid proprietary lock-in.
- Batch and real-time: both run on the same governed layer.
- Less duplication: no constant copying between lake and warehouse.
Why It Matters
Older approaches needed separate systems, which was costly and created inconsistencies. A lakehouse reduces both problems. It also supports business intelligence and data science from the same governed storage, without constant movement of data between systems.
How ClearLeaff Applies It
We design lakehouses on Snowflake, Delta Lake, and Apache Iceberg that unify streaming and batch data. Strong governance and quality give clients BI-ready datasets with low-latency access to fresh information.