Recently, although the Token market has not performed well, on-chain data analysis still maintains its importance. This article will focus on a core topic: the construction of data pipelines.

In the Web3 space, many teams do not lack data, but rather a stable, efficient, and scalable on-chain data pipeline. Chainbase has proposed a direct solution: connecting multiple chains through a public API, enabling streaming or batch synchronization, and allowing users to import data into their own data warehouse with one click.

This method divides data processing capabilities into three main modules: API suite (including REST and streaming interfaces), data synchronization mechanism, and management tools. Its core advantage lies in the ability to directly write on-chain events, transaction records, account balances, NFT data, and DeFi metrics into storage systems such as S3, Postgres, or Snowflake according to predefined table structures. This greatly simplifies the subsequent processes of using BI tools, risk control systems, data tracking, and AI model training, effectively avoiding cumbersome tasks such as building custom indexers, setting up scheduled tasks, and maintaining ETL processes.

The engineering characteristics of this plan are mainly reflected in the following aspects:

1. Instant Sync: Supports one-time import of historical data, followed by incremental updates based on new blocks, without the need to manually manage block height and retry logic.

2. Real-time data stream: Able to write on-chain events to the backend system or data warehouse in real time, providing timely data support for risk control, real-time alerts, and user profile updates.

3. Modular Design: Using standardized data interfaces (Sink connectors) allows for flexible switching between storage systems such as S3, Postgres, and Snowflake, reducing development costs when changing data warehouses.

4. Automatic parsing: The automatic ABI decoding function with smart contract logs reduces the complexity of data processing.

This data pipeline solution provides a more efficient and reliable data integration method for Web3 projects, helping teams to focus more on the development of core business logic and in-depth data analysis, without having to pay too much attention to the technical details of underlying data processing.