Skip to main content

High-performance, Low-cost and Flexible Data Pipelines for Hundreds of Terabytes

Solution Banner
feature1

Real-time Preparation & Analytics

Power diverse, data-driven applications.

feature2

Unified Data Integration

Connect all your business systems and data sources.

feature3

Resource-Efficient

Save bandwidth with incremental data replay.

feature4

Seamless Integration

Fit your existing data standards (ODS / DW / DWM).

Solution Architecture

Solution Architecture

Core Warehouse: Use StarRocks for 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

Proven Use Cases

Li AutoLi Auto

Manage thousands of data sync tasks.

Use active-active sync for cross-region data aggregation.

Integrate with an open API to meet internal data governance.

Quote Mark

BladePipe offers a user-friendly configuration interface that enables efficient migration and synchronization of data across on-premises and cloud databases. In addition, it features powerful APIs, making integration with internal enterprise systems convenient and providing us with an all-in-one data synchronization solution.

Kaven Han

Related Blogs

GenAI Core Concepts Explained (RAG, Function Calling, MCP, AI Agent)
Barry
Barry
Aug 21, 2025
Build A RAG Chatbot with OpenAI - A Beginner's Guide
Data & AI

Build A RAG Chatbot with OpenAI - A Beginner's Guide

Show how to create RagApi with BladePipe

Barry
Barry
Aug 21, 2025
Build a Local RAG Using Ollama, PostgreSQL and BladePipe
Data & AI

Build a Local RAG Using Ollama, PostgreSQL and BladePipe

Show how to create local RAG services with BladePipe and Ollama

B
BladePipe Team
Aug 21, 2025