--- title: GreptimeDB Reviews meta\_title: 'GreptimeDB Reviews 2026: Details, Pricing, & Features | G2' meta\_description: Filter reviews by the users' company size, role or industry to find out how GreptimeDB works for a business like yours. aggregate\_rating: rating\_value: 5.0 review\_count: 1 scale: '5' date\_modified: '2026-04-04' parent\_category: name: Database Software url: https://www.g2.com/categories/database-software ---

# GreptimeDB Reviews & Product Details

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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)

* * *

Seller
[Greptime](https://www.g2.com/sellers/greptime)
Discussions
[GreptimeDB Community](https://www.g2.com/products/greptimedb/discuss)
Languages Supported

English

Overview by
Wenjie Ma

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## Top-Rated Alternatives

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 ![Heinrich Maximilian W.](/assets/transparent-ad5be28fbcd25b7b08d2cebe1d957125437fb5407d75ee717965ad22c8808791.gif "Heinrich Maximilian W.")
HW

Heinrich Maximilian W.

Director

Small-Business (50 or fewer emp.)

3/16/2026

"Predictable Telemetry Costs with First-Class Object Storage and Native OTLP Ingestion"

5/5

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. Review collected by and hosted on G2.com.

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. Review collected by and hosted on G2.com.

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. Review collected by and hosted on G2.com.

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Current UserValidated ReviewerSource: G2 invite

### There are not enough reviews of GreptimeDB for G2 to provide buying insight. Below are some alternatives with more reviews:

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[Show More](#)

##### Pricing

Pricing details for this product isn’t currently available. Visit the vendor’s website to learn more.

[
View More Pricing Information
](https://www.g2.com/products/greptimedb/pricing)

##### Categories on G2

[Real-time Analytic Database](https://www.g2.com/categories/real-time-analytic-database)

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