Modern Data Platforms: Warehouse, Lake or Lakehouse?
A clear comparison of data platform architectures to help you pick the right foundation for analytics.
The three patterns
Warehouses store structured, modelled data for fast SQL analytics. Lakes store raw data of any shape cheaply. Lakehouses combine open file formats with warehouse-like management and performance.
How to choose
- Mostly structured business data and BI? A warehouse is simplest
- Large volumes of logs, IoT or semi-structured data? Consider a lake or lakehouse
- Machine learning and BI on the same data? Lakehouse patterns help
- Strict data residency? Check where each service stores data
Pipelines and quality
Whatever the storage, reliable ingestion, transformation and testing determine trust. Add data-quality checks and lineage so analysts know where numbers come from.
Cost control
Separate storage from compute, set budgets and alerts, and archive cold data. Unchecked queries are the usual cause of surprise bills.
How Infivate Networks can help
Infivate Networks delivers Data & Analytics for organisations across India — from assessment and design to implementation and ongoing support. Talk to our team or email [email protected].
Frequently asked questions
Need help with this?
Talk to the Infivate Networks team.
