CelerData provides a high-performance SQL engine that enables real-time analytics directly on data lakehouses, eliminating the need for traditional data warehouses. This solution reduces operational complexity and resource consumption while delivering sub-second query performance and supporting demanding workloads.
Funding
Funding not disclosed
Founders
Product
Problem
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.
Solution
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.
Target Audience
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.
Features
- 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