Web3 Data Index Evolution: From Node to AI-Powered Full-Chain Services

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From reading to indexing to analysis: The evolution of the Web3 data indexing track

1 Introduction

Since the first batch of dApps emerged in 2017, decentralized applications have flourished on various blockchains. However, where do the data sources that these dApps rely on actually come from? This article will delve into the development history of blockchain data accessibility, focusing on the evolution of data indexing, and comparing the established indexing protocol The Graph with the emerging Chainbase and Space and Time, exploring how they leverage AI technology to provide innovative data services.

Reading, indexing to analysis, a brief overview of the Web3 data indexing track

2 The Complexity and Simplicity of Data Indexing: From Blockchain Nodes to Full Chain Databases

2.1 Data Source: Blockchain Node

Blockchain nodes are the cornerstone of the entire network, responsible for recording, storing, and disseminating all on-chain transaction data. However, ordinary users find it difficult to build and maintain nodes themselves, which has led to the emergence of RPC node providers. These service providers manage nodes and offer data access through RPC endpoints, lowering the barrier for users to obtain on-chain data.

2.2 Data Analysis: From Prototype Data to Usable Data

The raw data provided by blockchain nodes is usually encrypted and encoded, requiring parsing to transform it into a format that is easy to understand and use. Data parsing is a key link in the entire indexing process, directly affecting the efficiency and effectiveness of data application.

2.3 The Evolution of Data Indexers

As the volume of blockchain data surges, the demand for data indexers is increasing day by day. Indexers simplify the data retrieval process by organizing on-chain data and providing a unified query interface. Different types of indexers each have their advantages, including full node indexers, lightweight indexers, dedicated indexers, and aggregate indexers.

Read, Index to Analyze, Brief Overview of the Web3 Data Indexing Track

2.4 Full Chain Database: Aligning to Stream Priority

As application demands become increasingly complex, traditional indexers struggle to meet diverse query needs. Blockchain data service providers are beginning to build real-time data streaming services, such as The Graph's Substreams and Chainbase's real-time data lake, aimed at providing more comprehensive query capabilities and supporting real-time data analysis.

Reading, Indexing to Analysis, Overview of the Web3 Data Indexing Track

3 AI + Database? In-depth Comparison of The Graph, Chainbase, Space and Time

3.1 The Graph

The Graph provides multi-chain data indexing and query services through a decentralized network of nodes. Its core products include a data query execution market and a data indexing caching market. The network is composed of indexers, curators, delegators, and developers, working together to ensure the system operates through economic incentives. Recently, The Graph has been actively exploring the application of AI technology to optimize indexing pricing and user query experience.

Reading, Indexing to Analysis, Overview of the Web3 Data Indexing Track

3.2 Chainbase

Chainbase, as a full-chain data network, integrates multi-chain data and provides real-time data lake services. Its features include a dual-chain architecture, an innovative data format standard "manuscripts", and the Theia encrypted world model created using AI technology. Through AI empowerment, Chainbase not only provides data services but also deeply excavates data value to offer users intelligent data insights.

Read, Index to Analyze, Brief Overview of the Web3 Data Indexing Track

3.3 Space and Time

Space and Time is dedicated to creating a verifiable computing layer that achieves trustworthy data processing on decentralized data warehouses through innovative Proof of SQL technology. This technology alters the data validation method under traditional consensus mechanisms, enhancing system performance. Meanwhile, Space and Time is collaborating with Microsoft AI Lab to develop generative AI tools that simplify user interaction with blockchain data.

Reading, Indexing to Analysis, Brief Overview of the Web3 Data Indexing Track

3.4 Difference Comparison

The three have different focuses in terms of technical paths, product features, and application scenarios. The Graph focuses on decentralized indexing networks, Chainbase combines AI to provide comprehensive data services, while Space and Time emphasizes verifiable computation and AI-assisted queries.

Conclusion and Outlook

The blockchain data indexing technology has evolved from node data sources to AI-enabled full-chain data services. In the future, with the development of technologies such as AI and zero-knowledge proofs, blockchain data services will become more intelligent and secure, continuing to serve as an industry infrastructure to promote innovation and progress.

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GateUser-e51e87c7vip
· 07-10 00:18
The index is still reliable.
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retroactive_airdropvip
· 07-09 05:48
Graph and AI can be combined.
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ser_ngmivip
· 07-07 03:49
Isn't it just to be suckers for AI?
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ChainWallflowervip
· 07-07 03:45
The future relies on AI.
View OriginalReply0
ImaginaryWhalevip
· 07-07 03:39
New gameplay is a must.
View OriginalReply0
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