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Brighthive Platform Overview

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High level architecture

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Platform Architecture Overview

Our platform is designed for data-driven organizations looking to integrate disparate data sources, manage ingestion pipelines, and transform and explore data seamlessly through a modern, conversational interface. Below are our key differentiators and technologies we employ in our stack.

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💡 Key Differentiators

• Unified Experience: Configure ingestion, transformation, and warehouses all from a single UI.
• Conversational Querying: Explore data through natural language with BrightBot.
• Modular Integration: Seamless compatibility with your existing cloud infrastructure.
• Graph-powered Governance: Track and manage everything through a powerful knowledge graph.

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🧰 Technologies

A complete list of technologies used across the platform, grouped by category.

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🖥 Frontend

• React – Component-based UI framework.
• GraphQL Apollo Client – Declarative data fetching and state management.
• TypeScript – Static typing for better development experience.

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🧠 Conversational Interface

• BrightBot – Internal chatbot service.

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☁️ Backend

• GraphQL – Unified API layer for frontend and backend communication.

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📂 File Upload & Storage

• Amazon S3 – Object storage for CSV, PDF, image, video uploads.
• Neo4j – Metadata store and indexing for uploaded assets (Data Catalog).

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🔌 Ingestion & Integration

• Airbyte (EC2-hosted) – Open-source data integration platform.
• Custom Ingestion Service – API layer that creates and manages Airbyte sources/connections.

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🧊 Data Warehousing

• Amazon Redshift – Columnar data warehouse.
• Snowflake – Cloud-native data warehouse.

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🔄 Transformation

• DBT Cloud – Transformation-as-code platform for analytics engineering.

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🔍 Metadata & Data Graph

• Neo4j (EC2-hosted) – Central knowledge graph representing:
  • Files
  • Sources
  • Pipelines
  • Warehouses
  • Transformations
  • Other application components.
• Cypher Query Language + GraphQL OGM - for querying neo4j.