Edge-Cloud Integrated Solution

Built on GreptimeDB Enterprise's optimized foundation, the Greptime Edge-cloud solution enables real-time edge computing while significantly reducing cloud storage and network costs. It allows applications to run at the edge, ensuring data privacy and lower latency, making it the trusted choice for leading automotive and energy companies.

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Use Case•May 13, 2024

Case Study

Greptime has announced our vehicle-cloud integrated solution, which addresses cost, capability, and data accuracy issues by deploying end-to-end embedded time-series databases in vehicles, resulting in significant cost savings and improved data-driven applications for a prominent electric car manufacturer.

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Case Study

Features

Features

Features

  • Reduces network traffic by up to **97%** through intelligent edge-cloud sync
  • Cuts cloud storage costs by up to **98%** with object storage optimization
  • Enables real-time edge computing for enhanced performance and data privacy
  • Provides comprehensive data management with built-in governance and monitoring

Architecture

Architecture

Architecture

  • GreptimeDB Edge
    GreptimeDB Edge is optimized for resource-constrained edge environments, enabling local data processing and analytics with high compression. Direct synchronization to cloud object storage reduces bandwidth costs while maintaining query capabilities across edge and cloud.
  • GreptimeDB on the Cloud
    Based on GreptimeDB Enterprise's cloud-native architecture with compute-storage separation, optimized for edge-cloud scenarios. Combines SQL analytics with broad ecosystem compatibility (MySQL, monitoring protocols, visualization tools). Built on object storage for elastic scalability and cost efficiency, with optimized edge-cloud architecture for high-performance data ingestion and processing at scale.
  • GreptimeDB Edge Manager
    A unified control plane that streamlines edge-cloud data operations with integrated model management, quality monitoring, and task orchestration capabilities.
When to choose Edge-Cloud Solution

Building automotive or IoT applications

Specialized edge-cloud integration with automotive-grade reliability

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Need edge computing with cloud analytics

Unified API across edge and cloud environments

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Want to minimize network and storage costs

97% network reduction and 98% storage cost savings

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Require real-time processing with data privacy

Local edge processing with intelligent sync

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