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Development of a Blockchain Data Indexing and Analytics Engine for Scalable and Robust On-Chain Data Management
  1. case
  2. Development of a Blockchain Data Indexing and Analytics Engine for Scalable and Robust On-Chain Data Management

Development of a Blockchain Data Indexing and Analytics Engine for Scalable and Robust On-Chain Data Management

scalac.io
Financial services
Technology
Software

Addressing Scalability and Robustness Challenges in Blockchain Data Management Systems

The client requires a stable and resilient database-backed engine capable of managing the rapidly increasing volume of blockchain data. Key pain points include the need to restart and synchronize systems efficiently after disruptions, optimize resource usage for deployment flexibility, provide powerful web-based APIs for complex analytical queries, and ensure system stability and data integrity amidst protocol upgrades and external blockchain changes.

About the Client

A technology-focused startup specializing in blockchain infrastructure and data analytics, supporting decentralized platforms with growing on-chain data demands.

Goals for Building a Scalable, Stable, and Analytical Blockchain Data Platform

  • Develop a resilient data indexing system that can efficiently restart and synchronize with the blockchain to handle ever-growing data volumes.
  • Ensure optimal resource utilization to facilitate deployment in diverse environments without excessive hardware demands.
  • Create a comprehensive web API (ReST/JSON/HTTP) enabling advanced and expressive analytical queries comparable to relational databases.
  • Guarantee system stability, consistency, and safe restart capabilities, with reliable monitoring of system health and usage.
  • Support seamless adaptation to protocol upgrades and external changes in blockchain infrastructure.
  • Enable external developers and users to interact with the system through user-friendly tools, libraries, and deployment options.

Core Functional System Requirements for Blockchain Data Indexing and Analytics

  • Incremental data ingestion from blockchain to provide persistent, comprehensive, and detailed domain entity information.
  • A RESTful API interface supporting complex analytical queries with expressivity comparable to relational database engines.
  • Flexible deployment options, including containerization via Docker, with support for custom configurations per deployment context.
  • Automated system restart and synchronization mechanisms to resync systems from scratch efficiently after disruptions.
  • Tools for aggregating and capturing insights from ingested data to support analytics and decision-making.
  • Management interface for secure, self-provisioned access to shared infrastructure for third-party development.

Preferred Technologies and Architectural Approaches for Blockchain Data Systems

Akka, AkkaStreams, AkkaHTTP for concurrency, streaming, and REST API development
Cats, Cats-effect, fs2 for functional programming and effect management
PostgreSQL, accessed via an ORM or SQL library (e.g., Slick) for reliable data storage
Docker for containerized deployments

Essential External System Integrations

  • Blockchain node connectors for incremental data ingestion
  • External monitoring and logging tools for system health and performance metrics
  • Infrastructure provisioning and configuration management systems

Critical Non-Functional System Attributes

  • System must support vertical and horizontal scalability to manage increasing blockchain data volumes.
  • Ensure high availability with fault-tolerance mechanisms to prevent data loss or downtime.
  • API response times should support complex queries in a time frame suitable for real-time analytics (e.g., sub-second latency where applicable).
  • Security protocols must protect data integrity and restrict unauthorized access.

Projected Business Impact of the Blockchain Data Management Solution

The implementation of this system is expected to significantly enhance data management robustness for blockchain-driven platforms, supporting scalable data ingestion and complex analysis. It aims to greatly reduce system downtime, enable rapid recovery and synchronization, and provide a flexible API for diverse analytical needs, thereby empowering users with near real-time insights and supporting future protocol upgrades and blockchain integrations. Performance improvements and stability guarantees will facilitate sustained growth and developer adoption.

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