GreptimeDB Enterprise

GreptimeDB Enterprise extends the open-source core with production-grade capabilities for business-critical observability workloads. Available for on-premise, BYOC, or fully managed deployment.

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GreptimeDB Enterprise

Enterprise-grade Observability Data Platform

Mission-Critical Monitoring & Analytics

Mission-Critical Monitoring & Analytics

High Security & Compliance Requirements

High Security & Compliance Requirements

High Availability & Performance

High Availability & Performance

  • 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.

Alerting, Observability & Support

Alerting, Observability & Support

  • 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.

Large Scale Distributed Environments

Large Scale Distributed Environments

Automated Operations & Intelligent Alerting

Automated Operations & Intelligent Alerting

Intelligent Autopilot

Intelligent Autopilot

Intelligent Autopilot

  • 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.

Enterprise Security

Enterprise Security

  • 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.

Frequently Asked Questions

Quick answers about GreptimeDB Enterprise.

When should I upgrade from open source to Enterprise?

Five common upgrade triggers:

  • Write throughput or partitioning hits a wall at scale.
  • The team needs enterprise security and compliance (LDAP, RBAC, audit logs, encryption).
  • Production-critical analytics need workload isolation and HA.
  • The team wants a better operations experience via the Enterprise Management Console (cluster overview, region management, slow-query analysis, performance diagnostics).
  • The team wants SLA-backed one-on-one expert support.

If none of these apply, the open-source build is enough. The engine is the same.

What does Enterprise add on top of open source?

Enterprise adds capabilities across seven areas:

  • Performance: bulk ingestion (up to 5× write throughput on Prometheus Remote Write), smart tiered caching (3 to 5× query speedup).
  • Autopilot: auto repartition, region load balancer, datanode groups for read/write isolation, remote compaction and indexing (around 20% to 30% infra cost reduction).
  • Reliability: read replicas with near-zero-cost manifest sync, active-active failover.
  • Observability: SQL-native triggers (compatible with Prometheus Alertmanager), management console, performance diagnostics.
  • Security: LDAP, RBAC, audit logging, encryption in-transit and at-rest.
  • Compatibility: Elasticsearch and Kibana QueryDSL backend.
  • Support: one-on-one expert assistance, 24/7 response.

For the full open-source vs Enterprise comparison, see feature comparison.

What deployment models are available?

Three options. On-premise: runs on your infrastructure with a custom SLA. BYOC: runs in your AWS, Azure, or GCP account so data stays in your cloud. Fully-managed: Greptime operates the cluster, you pay by usage. All three run the same Enterprise binary with the same APIs.

How is Enterprise priced?

The fully-managed dedicated tier starts at $290/month, billed by node configuration (vCPU and memory) plus object storage and cache usage. BYOC and on-premise are custom-priced based on cluster size and SLA. See the pricing page for the full tier breakdown, or contact us for a quote.

What support and SLA come with Enterprise?

Enterprise gets 24/7 response, one-on-one technical support, system-level performance diagnostics, and customization for specific deployment scenarios. Larger contracts add named support engineers and a regular architecture review. Open-source users get community support via Slack and GitHub.

Is Enterprise running in production today?

Yes. Li Auto runs GreptimeDB Enterprise on-vehicle across its EV production fleet to capture raw telemetry and save tens of millions in cloud bandwidth costs (case study). OceanBase Cloud runs 80+ GreptimeDB Enterprise clusters with 300TB+ of logs and SQL audit data after migrating off Grafana Loki (case study). Other deployments include automotive OEMs, a Fortune 500 retailer, AI infrastructure, and industrial IoT. See Use Cases for more.

When to upgrade from Open Source

Performance bottlenecks

Bulk ingestion (up to 5x), auto repartition, and region load balancing

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Enterprise security and compliance requirements

LDAP authentication, RBAC, and audit logging

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Need advanced capabilities beyond open source

Read replicas, datanode groups, SQL-native triggers, and more

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Need professional operations and technical support

Enterprise management console, performance diagnostics, and one-on-one expert support

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