# GreptimeDB Reviews
**Vendor:** Greptime  
**Category:** [Real-time Analytic Database Software](https://www.g2.com/categories/real-time-analytic-database)  
**Average Rating:** 5.0/5.0  
**Total Reviews:** 1
## About GreptimeDB
GreptimeDB is the open-source Observability 2.0 database — treating metrics, logs, and traces as unified wide events instead of three separate pillars. The three-pillar model (Prometheus + Loki + Jaeger) creates data silos, redundant infrastructure, and cross-signal correlation pain. GreptimeDB replaces all three with one columnar engine on object storage: cross-signal SQL JOINs, up to 50x cost reduction, and native support for AI agent observability via OpenTelemetry GenAI conventions. Key advantages: full-text log indexing (vs. Loki's label-only), SQL + PromQL without a separate data warehouse, 45x less trace storage vs. Elasticsearch, and Jaeger-compatible migration in one week. Written in Rust, OpenTelemetry-native, Kubernetes-ready. Used in production processing billions of data points daily — including OB Cloud across 170+ availability zones. Open-source (Apache 2.0) · Enterprise · GreptimeCloud (fully managed)




## GreptimeDB Reviews
  ### 1. Predictable Telemetry Costs with First-Class Object Storage and Native OTLP Ingestion

**Rating:** 5.0/5.0 stars

**Reviewed by:** Heinrich Maximilian W. | Director, Small-Business (50 or fewer emp.)

**Reviewed Date:** March 16, 2026

**What do you like best about GreptimeDB?**

The architecture is genuinely different from ClickHouse and Postgres-based solutions. Object storage is first-class (not a tiering afterthought) so costs stay predictable as telemetry volume grows. Native OTLP ingestion means we went from SDK to queryable SQL with no queue, no workers, no transformation pipeline. For AI observability specifically, the Gen-AI semantic conventions land directly as columns, which makes building cost and latency dashboards straightforward.

**What do you dislike about GreptimeDB?**

It's a younger project, and you'll occasionally hit rough edges before the broader ecosystem does. We ran into a few bugs (binary timestamp parameters in cluster mode, Unicode encoding in query results) that needed attention. But the team is super responsive and everything was addressed within 2 days of reporting.

**What problems is GreptimeDB solving and how is that benefiting you?**

Storing and querying AI telemetry (traces, token usage, inference latency, model metadata) without the operational overhead of a multi-system observability stack. We replaced what would have been five or six components with a single database that handles ingestion, storage, and querying.



- [View GreptimeDB pricing details and edition comparison](https://www.g2.com/products/greptimedb/reviews?section=pricing&secure%5Bexpires_at%5D=2026-05-13+08%3A23%3A46+-0500&secure%5Bsession_id%5D=3198efe2-789d-4788-b577-91d79c99474f&secure%5Btoken%5D=34be258c3823224514d04e14c512aea558f5201734e63c09559b42ef81424cd4&format=llm_user)

## GreptimeDB Features
**Query latency**
- Lower query latency
- Continuous queries

**Data latency**
- Lower data latency
- Data pipeline performance

**Connectors**
- Faster ingestion
- Built-in connectors

**Scale**
- Linearly scalable database
- Storage management

**Architecture**
- Data security
- Lockless architecture

## Top GreptimeDB Alternatives
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