Real-Time Analytics Solution for Hundreds-of-Terabytes Data
Real-Time Analytics & Data Preparation
Power real-time analytics and data-driven applications with low-latency data preparation.
Unified Data Integration
Integrate data from databases, streams, and business systems into a unified analytics pipeline.
Resource-Efficient Pipelines
Reduce compute and network costs with incremental data replay and CDC.
Seamless Data Integration
Fit into existing ODS, DW, and DWM data warehouse standards.
Solution Architecture
A scalable architecture designed for real-time analytics and large-scale data processing.
Core Warehouse: Use StarRocks for real-time analytics at the hundreds-of-terabytes scale
Real-time Ingestion: BladePipe uses CDC and stream loading for high-performance, low-latency incremental updates
DW Layer: Data is cleaned, aggregated, and combined using views or primary key tables
APP/DWM Layer: Build data services with materialized views or primary key tables based on business needs
Related Blogs
How to Build a Real-Time Lakehouse with BladePipe, Paimon and StarRocks
Learn how to build a real-time lakehouse using BladePipe, Apache Paimon, and StarRocks, from architecture design to hands-on steps for ingestion, sync, and real-time analytics.
What Is a Wide Table? How to Build One for Faster Analytics
Learn what a wide table is, when wide tables improve analytics performance, and how to build one for faster joins and simpler reporting workflows.
