How ByteHouse Cuts Data Warehouse Costs: Tackling Explicit and Implicit Challenges

With the explosive growth of data, modern enterprises face huge challenges in data storage, processing, and analysis. Data warehouses play a critical role, and inefficiencies can cause soaring costs and slow decision‑making, making cost reduction and efficiency improvement a continuous priority.

OLAP (online analytical processing) systems enable real‑time data analysis, but balancing high performance with cost efficiency is difficult. Fast‑paced business environments demand short processing times, yet achieving this often requires complex architectures and higher resource consumption, leading to significant hardware, algorithm, operations, and migration expenses.

Explicit Cost Challenges

Hardware cost : Deploying a data warehouse requires substantial compute (CPU) and storage (disk, storage clusters) resources, especially for TB‑ to PB‑scale data.

Performance cost : Low energy efficiency forces the use of more compute and storage resources to meet workload demands, increasing both power consumption and hardware investment.

Implicit Cost Challenges

Operations cost : Managing a complex data warehouse demands skilled personnel and considerable time, especially when multiple components (e.g., ClickHouse, Elasticsearch, GreenPlum) are involved.

Migration cost : Moving from legacy warehouses or analytical databases to ByteHouse incurs significant human and time expenses due to syntax and architectural differences.

Solution: ByteHouse

ByteHouse, a cloud‑native data warehouse under Volcano Engine’s VeDI platform, builds on ClickHouse technology. Launched internally in 2017, it reached 18,000 nodes by March 2022, with the largest analytical cluster exceeding 2,400 nodes and handling over 700 PB of data.

Its architecture follows next‑generation cloud‑native principles: containerization, storage‑compute separation, multi‑tenant management, and read‑write separation. ByteHouse supports both real‑time and massive offline analytics, optimizing for high throughput, concurrency, and complex queries, delivering sub‑second query responses for 99 % of requests.

Beyond high availability, ByteHouse offers unmanaged operation services, rich cluster management tools, and comprehensive monitoring, simplifying fault diagnosis and reducing operational overhead.