LindormTSDB
LindormTSDB: A broad compatibility layer for teams managing scalable telemetry and metrics workloads. Ranked #3 of 36 in Time-Series Databases by our editors (9.0/10); pricing: Paid; best for managed compatible metrics and time-series workloads.
At a glance
- Editor score9.0 / 10
- PricingPaid
- Best forManaged compatible metrics and time-series workloads
- DeploymentCloud
- Facts checked22 Sep 2026
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
Our verdict on LindormTSDB
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. SQL access is available through JDBC, the HTTP SQL API, and the Lindorm CLI, while ingestion supports SQL INSERT, InfluxDB line protocol, OpenTSDB APIs, and Prometheus remote write. PromQL querying is also supported, giving monitoring teams a familiar route into stored metrics.
Its ecosystem fit is a central strength. Grafana, Prometheus, InfluxDB, OpenTSDB, and JDBC are documented integrations, so teams can connect existing observability and analytics workflows across compatible protocols. The database also supports compression, aggregation, spatial aggregation, interpolation, downsampling, TTL-based retention, and hot/cold data tiering. These capabilities make it suitable for workloads where storage duration, query shape, and data temperature change over time. A distributed, decoupled storage-and-compute architecture provides horizontal scaling for growing workloads.
Lindorm ML adds in-database forecasting and anomaly detection, which can keep time-series analysis close to the stored data instead of requiring a separate processing path. That combination makes LindormTSDB a strong fit for managed cloud deployments with varied telemetry sources and a need for operational analytics. It is less suitable for teams seeking a narrow, self-managed database deployment or a minimal setup with only one query and ingestion model. Buyers should also account for cloud billing that varies by region and configuration when evaluating fit.
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LindormTSDB pricing
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LindormTSDB fact sheet
| Free plan | Not verified |
|---|---|
| Paid from | Not verified |
| Deployment | Cloud |
| SQL support | Yes |
| Retention policies | Yes |
| Horizontal scaling | Yes |
| Query languages | SQL, PromQL, TSDB-compatible APIs and SDKs |
| Ingestion methods | SQL INSERT via JDBC, InfluxDB line protocol, OpenTSDB API, Prometheus remote write |
| Deployment | Cloud |
| Platforms | Web |
| Support | Docs |
| Built for | Mid-market, Enterprise (editorial estimate) |
| Integrations | 4 integrations: Grafana, Prometheus, InfluxDB, OpenTSDB |
| Pricing | Paid (source) |
| Website | alibabacloud.com |
| Facts checked | 22 Sep 2026 |
LindormTSDB integrations
LindormTSDB lists 4 integrations on its own site.
- Grafana
- Prometheus
- InfluxDB
- OpenTSDB
Alternatives to LindormTSDB
- Apache IoTDBA focused open-source choice for high-volume IoT ingestion, SQL, retention, and scaling.9.3
- Amazon TimestreamA managed AWS option with flexible ingestion, retention, SQL, and InfluxDB support.9.1
- kdb+A specialized, self-hosted engine for real-time and historical financial analytics.8.9
See all LindormTSDB alternatives →
LindormTSDB vs the competition
- LindormTSDB vs Apache IoTDB
- LindormTSDB vs Amazon Timestream
- LindormTSDB vs kdb+
- LindormTSDB vs Prometheus
- LindormTSDB vs Grafana Mimir
- LindormTSDB vs InfluxDB
Compare LindormTSDB with any tool side by side →
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Reviewed by iTechGuides Editors · Editorial team · Updated Oct 2026
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