Traditional data warehouses require complex and costly data ingestion pipelines. Existing solutions often struggle to deliver sub-second query performance at scale, especially when dealing with real-time data and on-the-fly joins.

CelerData provides a high-performance SQL engine that performs real-time analytics directly on data lakehouses, eliminating the need for a separate data warehouse and its associated ETL processes. Powered by StarRocks, CelerData simplifies data architecture, reduces operational overhead, and delivers sub-second query performance even with demanding workloads. The platform's scalable on-the-fly JOIN capabilities remove the need for expensive real-time denormalization pipelines. CelerData is cloud-managed within the user's VPC, ensuring data ownership and infrastructure control.

Real-time OLAP solution with second-level data freshness on mutable data

High-performance SQL engine optimized for data lakehouses

Scalable on-the-fly JOINs for complex queries without denormalization

Cloud-managed service deployed within the user's VPC

Powered by StarRocks, a fast open-source lakehouse SQL engine

Eliminates the need for traditional data warehouses and ETL pipelines

Supports demanding workloads with low latency and high concurrency

CelerData targets enterprises and organizations that require real-time analytics on large datasets within a data lakehouse architecture, particularly those seeking to migrate from or avoid traditional data warehouses.