Head-to-head · Time-Series Databases
Amazon Timestream vs LindormTSDB
Amazon Timestream leads on 0 checks, LindormTSDB on 0, and 4 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
Amazon Timestream scores higher on our rubric for time-series databases: 9.1 against 9.0 out of 10; our editors rank them #2 and #3.
Amazon Timestream is the better fit for managed AWS time-series deployments. LindormTSDB is the better fit for managed compatible metrics and time-series workloads.
- Amazon Timestream fits best
Managed AWS time-series deployments
- LindormTSDB fits best
Managed compatible metrics and time-series workloads
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Side by side
| Feature | Amazon Timestream 9.1/10 Visit ↗ | LindormTSDB 9.0/10 Visit ↗ |
|---|---|---|
| At a glance | ||
| Editor score | 9.1 | 9.0 |
| Ranking | #2 in Time-Series Databases | #3 in Time-Series Databases |
| Best for | Managed AWS time-series deployments | Managed compatible metrics and time-series workloads |
| Pricing model | Paid | Paid |
| Starting price | — | — |
| Free plan | — | Not checked yet |
| Free trial | — | — |
| Deployment | Cloud | Cloud |
| Platforms | Web | Web |
| Support | Docs | Docs |
| Integrations | 11 integrations | 4 integrations |
| Built for | Mid-market, Enterprise | Mid-market, Enterprise |
| Features Amazon Timestream 3/3 · LindormTSDB 3/3 | ||
| SQL support | ✓ | ✓ |
| Retention policies | ✓ | ✓ |
| Horizontal scaling | ✓ | ✓ |
| Specs | ||
| Deployment | Cloud | Cloud |
| Query languages | SQL, Flux, InfluxQL | SQL, PromQL, TSDB-compatible APIs and SDKs |
| Ingestion methods | AWS SDKs, AWS CLI, WriteRecords API, AWS Lambda, AWS IoT Core, Amazon Managed Service for Apache Flink, Amazon Kinesis, Amazon MSK, Telegraf | SQL INSERT via JDBC, InfluxDB line protocol, OpenTSDB API, Prometheus remote write |
| 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 → |
LindormTSDB is Alibaba Cloud’s managed time-series database engine for measurement, device, IoT, telemetry, and monitoring data. It is designed for teams that need multiple ingestion and query paths rather than a single database interface.… 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
LindormTSDB — where it wins
- Supports SQL, PromQL, InfluxDB, OpenTSDB, and Prometheus workflows
- Combines compression, downsampling, retention, and hot/cold tiering
- Includes in-database forecasting and anomaly detection through Lindorm ML
Where it doesn't
- Cloud deployment may not suit teams requiring self-managed infrastructure
- Its broad interface set may add platform decisions for smaller workloads
- Billing varies by region and configuration
- Amazon Timestream9.1/10 · Paid
A managed AWS option with flexible ingestion, retention, SQL, and InfluxDB support.
Visit siteFull verdict → - LindormTSDB9.0/10 · Paid
A broad compatibility layer for teams managing scalable telemetry and metrics workloads.
Visit Alibaba CloudFull verdict →
More comparisons
- Apache IoTDB vs Amazon Timestream
- Apache IoTDB vs LindormTSDB
- Amazon Timestream vs kdb+
- Amazon Timestream vs Prometheus
- Amazon Timestream vs Grafana Mimir
- Amazon Timestream vs InfluxDB
- Amazon Timestream vs VictoriaMetrics
- LindormTSDB vs kdb+
All Time-Series databases comparisons → · Full ranking →
Reviewed by iTechGuides Editors · Editorial team · Updated Oct 2026
Last updated · How we research and update







