Head-to-head · Time-Series Databases
Amazon Timestream vs GreptimeDB
Amazon Timestream leads on 0 checks, GreptimeDB on 1, and 3 are even. Who comes out ahead on the 4 yes/no, price and count checks where we have data for both products. The editor score weighs everything else too.
Our verdict
- Highest scoreAmazon Timestream · 9.1/10
- Free planonly GreptimeDB
Amazon Timestream scores higher on our rubric for time-series databases: 9.1 against 7.7 out of 10; our editors rank them #2 and #13.
GreptimeDB offers free plan; Amazon Timestream doesn't. On deployment, GreptimeDB gives you Both where Amazon Timestream offers Cloud.
Amazon Timestream is the better fit for managed AWS time-series deployments. GreptimeDB is the better fit for observability data across metrics, logs, and traces.
- Amazon Timestream fits best
Managed AWS time-series deployments
- GreptimeDB fits best
Observability data across metrics, logs, and traces
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Side by side
| Feature | Amazon Timestream 9.1/10 Visit ↗ | GreptimeDB 7.7/10 Visit ↗ |
|---|---|---|
| At a glance | ||
| Editor score | 9.1 | 7.7 |
| Ranking | #2 in Time-Series Databases | #13 in Time-Series Databases |
| Best for | Managed AWS time-series deployments | Observability data across metrics, logs, and traces |
| Pricing model | Paid | Free plan + paid |
| Starting price | — | $290/mo |
| Free plan | — | ✓ (best) |
| Free trial | — | — |
| Deployment | Cloud | Cloud, Self-hosted |
| Platforms | Web | Web, Linux |
| Support | Docs | Community, Docs · 24/7 |
| Integrations | 11 integrations | 20 integrations |
| Built for | Mid-market, Enterprise | Small business, Mid-market, Enterprise |
| Features Amazon Timestream 3/3 · GreptimeDB 3/3 | ||
| SQL support | ✓ | ✓ |
| Retention policies | ✓ | ✓ |
| Horizontal scaling | ✓ | ✓ |
| Specs | ||
| Deployment | Cloud | Both |
| Query languages | SQL, Flux, InfluxQL | SQL, PromQL, Log Query |
| Ingestion methods | AWS SDKs, AWS CLI, WriteRecords API, AWS Lambda, AWS IoT Core, Amazon Managed Service for Apache Flink, Amazon Kinesis, Amazon MSK, Telegraf | Prometheus Remote Write, OpenTelemetry OTLP/HTTP, Loki Push API, Elasticsearch Bulk API, InfluxDB Line Protocol, MySQL, PostgreSQL, gRPC, HTTP |
| Our review | ||
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| Cons |
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| Our verdict | Amazon Timestream is a fully managed AWS service for storing, ingesting, and querying time-series data. It is aimed at teams building real-time monitoring, IoT, DevOps, and analytics applications within the AWS ecosystem. The service… Read the review → |
GreptimeDB is an open-source, columnar database for storing and querying metrics, logs, traces, and other time-indexed data. It is aimed at teams that want one observability data layer with SQL for cross-signal analysis and PromQL for… Read the review → |
Strengths and trade-offs
Amazon Timestream — where it wins
- Serverless and managed InfluxDB engines support different workloads
- SQL queries span memory and magnetic storage tiers
- AWS APIs, Grafana, Lambda, Telegraf, and CloudFormation integrations
Where it doesn't
- Cloud-only deployment limits infrastructure choice
- Usage-based pricing varies by region, engine, and configuration
- Timestream for LiveAnalytics has an End of Support Notice
GreptimeDB — where it wins
- SQL and PromQL querying across observability data
- Ingests OpenTelemetry, Prometheus, Loki, Elasticsearch, and InfluxDB
- Supports retention, continuous aggregation, and distributed deployment
Where it doesn't
- Log Query is listed as experimental
- Self-managed deployment requires infrastructure ownership
- Bring Your Own Cloud pricing is custom
- Amazon Timestream9.1/10 · Paid
A managed AWS option with flexible ingestion, retention, SQL, and InfluxDB support.
Visit siteFull verdict → - GreptimeDB7.7/10 · Free plan
A flexible observability database that combines SQL, PromQL, and broad ingestion support.
Visit GreptimeDBFull verdict →
More comparisons
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- Amazon Timestream vs Grafana Mimir
- Amazon Timestream vs InfluxDB
- Amazon Timestream vs VictoriaMetrics
All Time-Series databases comparisons → · Full ranking →
Reviewed by iTechGuides Editors · Editorial team · Updated Oct 2026
Last updated · How we research and update







