GreptimeDB Enterprise

Built on GreptimeDB Open Source All open-source capabilities included. Up to 50x cost advantage with cloud-native, compute-storage disaggregated architecture.
Bulk Ingestion Up to 5x write throughput improvement. Available for Prometheus remote write API. No client-side changes required.
Read Replicas Dedicated read-only datanodes for analytical workloads. Near-zero-cost data sync via manifest metadata — no SST file replication. Read-write workload isolation.
Elasticsearch & Kibana Compatibility Use GreptimeDB as a Kibana backend for log search, aggregation, and dashboards. Supports QueryDSL.
Smart Tiered Caching Fine-grained caching for hot and historical data. Up to 3-5x query performance improvement.
Active-Active Failover For edge and small-to-medium deployments. Two peer nodes, bidirectional async replication, local query execution. Configurable RPO/RTO. Three failover methods: LoadBalancer, client SDK, custom endpoint.

SQL-Native Triggers Define alerting rules in SQL, periodic evaluation. Multi-stage state machine (pending → firing → inactive) prevents alert flapping. Supports FOR and KEEP FIRING FOR durations. Fully compatible with Prometheus Alertmanager: grouping, inhibition, silencing, routing.
Enterprise Management Console Cluster overview: CPU, memory, storage, ingestion rates. Region management: migration, flush, compact. Monitoring panels, instance logs, slow query analysis with EXPLAIN support.
Performance Diagnostics System-level profiling and diagnostic tools for bottleneck identification.
Technical Support & Customization One-on-one expert support. Custom solutions for specific deployment scenarios.

Auto Repartition Multi-Region split and merge in a single operation — beyond the 1-to-2 split and 2-to-1 merge in open source. Load-driven automatic repartition adjusts partition boundaries based on real-time traffic.
Automatic Region Load Balancer Sliding-window load analysis across datanodes. Configurable thresholds to avoid unnecessary migrations while resolving sustained imbalance.
Datanode Groups Kubernetes-native workload separation. Dedicated datanode types: hybrid, query-only, ingest-only. Eliminates resource contention between read and write paths.
Remote Compaction, Indexing & Auto-Backup Offloads storage maintenance to dedicated compute resources. Query performance unaffected during compaction. Auto-backup and auto-scaling included. Up to 20-30% infrastructure cost reduction.

LDAP Authentication Simple bind and search bind modes. Integrates with enterprise directory services.
RBAC Authorization Fine-grained role-based access control for multi-tenant environments.
Audit Logging JSON-formatted records. Filter by source protocol, statement class, command. Daily rotation, configurable retention.
Data Encryption In-transit and at-rest encryption for regulatory compliance.

Enterprise-grade Observability Data Platform