Apache HoraeDB

Apache HoraeDB is a high-performance, distributed, cloud-native time-series database designed for real-time data ingestion, storage, and analytics. It is optimized for scalability, cost-efficiency, and flexibility, making it suitable for modern infrastructure environments such as IoT, observability, and financial systems. HoraeDB separates compute and storage, enabling elastic scaling and high availability in clustered deployments.

Features

• Distributed architecture with separation of compute and storage
• High-throughput ingestion and low-latency querying
• SQL-based interface for time-series data operations
• Cloud-native design with containerized deployment support
• Built-in support for clustering, replication, and load balancing
• Time-to-live (TTL) and data retention policies
• RESTful API and SDKs for integration
• Open ecosystem with community-driven development

Capabilities

• Handles large-scale time-series workloads across distributed nodes
• Supports real-time analytics and historical data queries
• Enables elastic autoscaling of compute and storage resources
• Integrates with modern DevOps and observability stacks
• Offers flexible deployment via Docker and Kubernetes
• Provides multi-tenant support and fine-grained access control

Benefits

• Accelerates time-series data processing with high performance
• Reduces operational costs through efficient resource utilization
• Enhances reliability with fault-tolerant and scalable architecture
• Simplifies integration with existing systems via standard interfaces
• Encourages innovation through open-source collaboration
• Suitable for diverse use cases including monitoring, IoT, and finance