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About VictoriaLogs
VictoriaLogs is a fast and cost-effective log management solution designed for large-scale log ingestion, storage, and search. Developed by VictoriaMetrics, it's built to handle massive volumes of log data with efficient compression and high-performance search capabilities. VictoriaLogs supports LogQL (similar to Grafana Loki) and provides excellent integration with the VictoriaMetrics ecosystem. It's designed for high-performance log aggregation with minimal resource consumption, making it suitable for both small deployments and large-scale enterprise environments.
GreptimeDB vs. VictoriaLogs
| Feature/Aspect | GreptimeDB | VictoriaLogs |
|---|---|---|
| Data Model | Unified Observability Database | Log Management System |
| Value Model | Multi-Value (supports complex data structures) | Log entries with structured and unstructured data |
| Multi-model Support | Metrics, Logs & Traces in one database | Logs only (requires separate systems for metrics/traces) |
| Query Languages | SQL & PromQL (dual interface) | LogQL |
| Ingestion Protocols | SQL gRPC InfluxDB Line Protocol Prometheus Remote Storage OpenTelemetry Loki Push API Elasticsearch Bulk API HTTP API | HTTP API Syslog Elasticsearch bulk API Loki push API |
| Data Retention | Flexible TTL policies with tiered storage | Configurable retention with automatic cleanup |
| Continuous Aggregation | Built-in SQL aggregation, Pipeline ETL engine & Flow streaming computation | Real-time log metrics and aggregation |
| Deployment Complexity | Single system deployment | Single binary deployment |
| Use Cases | Unified observability, real-time analytics, IoT monitoring, edge computing | Log aggregation, troubleshooting, security analysis, audit trails |
| Architecture | Cloud-native distributed with compute-storage separation | Single-node and cluster deployment with efficient storage |
| Storage Format | Apache Parquet (columnar, compressed) | Custom compressed storage format |
| Storage Scalability | Object storage integration with unlimited capacity | Local storage with automatic data management |
| High Availability | Native clustering with automatic failover | Replication support for high availability |
| License | Apache 2.0 | Apache 2.0 |
| Written Language | Rust (memory safety, performance) | Go (ecosystem compatibility) |
| Deployment Options | Single-node, cluster, Kubernetes-native, edge-to-cloud with unified API | Single binary, cluster, containerized deployment |
| Operational Complexity | Single unified system with simplified Kubernetes operations | Minimal operational overhead with VictoriaMetrics ecosystem |
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