โœ•

Join us for a virtual meetup on Zoom at 8 PM, July 31 (PDT) about using One Time Series Database for Both Metrics and Logs ๐Ÿ‘‰๐Ÿป Register Now

โœ•
Skip to content
About Grafana Mimir
Grafana Mimir is a scalable, high-performance time-series database designed specifically for large-scale monitoring and observability use cases. Developed by Grafana Labs, Mimir is built on top of the Cortex project and is optimized for handling Prometheus metrics at scale. Click here to read the full report of GreptimeDB vs. Grafana Mimir Performance Benchmark.
GreptimeDB vs. Grafana Mimir
Feature/AspectGreptimeDBGrafana Mimir
Data ModelTime-Series DatabaseTime-Series Database
Value modelMulti-ValueSingle-Value
Multi-modelMetrics, Logs & EventsMetrics
Ingestion ProtocolsSQL
gRPC
InfluxDB Line Protocol
Prometheus Remote Storage
OpenTelemetry
Prometheus Remote Storage
InfluxDB Line Protocol
OpenTelemetry
Query LanguagesSQL & PromQLPromQL
Continuous AggregationYes (in SQL)NO
Use casesMonitoring, observability, IoT data analysis, real-time analyticsMonitoring, observability
ArchitectureCloud-native and flexible architecture, scaled from Edge to Cloud.Distributed architecture with replication, and long-term storage on Object Storage.
Storage FormatApache ParquetPrometheus TSDB storage
LicenseApache 2.0Apache 2.0
ScalabilityOpensource both single-node and cluster versions.By leveraging Object Storage (S3, and others), separating compute and storage will lead to scaling stateless compute nodes arbitrarily.Horizontally scalable
Written LanguageRustGolang

Join our community

Get the latest updates and discuss with other users.