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Feature/Aspect | GreptimeDB | Grafana Tempo |
---|---|---|
Data Model | Unified Observability Database | Distributed Tracing Backend |
Value Model | Multi-Value (supports complex data structures) | Trace spans with attributes |
Multi-model Support | Metrics, Logs & Traces in one database | Traces only (requires separate systems for metrics/logs) |
Query Languages | SQL & PromQL (dual interface) | TraceQL |
Ingestion Protocols | SQL gRPC InfluxDB Line Protocol Prometheus Remote Storage OpenTelemetry Loki Push API Elasticsearch Bulk API HTTP API | Jaeger Zipkin OpenTelemetry OTLP |
Data Retention | Flexible TTL policies with tiered storage | Object storage-based retention with compaction |
Continuous Aggregation | Built-in SQL aggregation, Pipeline ETL engine & Flow streaming computation | Service maps and span metrics generation |
Deployment Complexity | Single system deployment | Multi-component deployment (Distributor, Ingester, Querier, Compactor) |
Use Cases | Unified observability, real-time analytics, IoT monitoring, edge computing | Distributed tracing, request flow analysis, latency troubleshooting |
Architecture | Cloud-native distributed with compute-storage separation | Microservices architecture with object storage backend |
Storage Format | Apache Parquet (columnar, compressed) | Parquet files in object storage |
Storage Scalability | Object storage integration with unlimited capacity | Native object storage design for unlimited scale |
High Availability | Native clustering with automatic failover | Stateless components with object storage persistence |
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 | Microservices mode, scalable mode with object storage |
Operational Complexity | Single unified system with simplified Kubernetes operations | Requires coordination with Prometheus and Loki for full observability |