DB Layer
Web3DB relies on a sophisticated database technology stack to enable efficient, scalable, and decentralized data storage and retrieval. This section provides an overview of the main database components and their roles in the overall architecture.
The main database components of Web3DB include: - Apache Spark: A fast and powerful distributed computing framework - IPFS: A peer-to-peer hypermedia protocol for decentralized storage
Apache Spark (Query Engine)
Apache Spark is a lightning-fast cluster computing framework that enables distributed processing of large-scale data sets. It forms the core of our data processing pipeline, providing high-performance, in-memory computing capabilities for efficient data processing and analytics.
- Key Features
- Benefits
- In-memory computing for fast data processing - Support for batch processing, streaming, and machine learning - Seamless integration with various data sources and formats - Fault-tolerant and scalable architecture
- Significantly faster data processing compared to traditional MapReduce - Ability to handle complex data processing workflows - Rich ecosystem of libraries and tools for data analytics and machine learning - Easy integration with other big data technologies
IPFS (Storage Layer)
IPFS (InterPlanetary File System) is a peer-to-peer hypermedia protocol that enables decentralized storage and content-addressed access to data. It plays a crucial role in ensuring data integrity, availability, and resistance to censorship within the QueryAPIKernel solution.
- Key Features
- Benefits
- Decentralized storage and content-addressed access - Peer-to-peer architecture for data sharing and discovery - Versioning and immutability of data - Efficient data distribution and replication
- Ensures data integrity and availability - Enables censorship-resistant data storage and access - Facilitates efficient data sharing and collaboration - Reduces reliance on centralized infrastructure
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