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Head-to-head · Time-Series Databases

Amazon Timestream vs LindormTSDB

  • Updated Oct 2026
  • Both researched from official sources
  • 4 checks side by side
Higher score Amazon Timestream #2 in Time-Series Databases 9.1/10 Paid ✓ 3 of 3 features Visit site

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
Pros
  • Serverless and managed InfluxDB engines support different workloads
  • SQL queries span memory and magnetic storage tiers
  • AWS APIs, Grafana, Lambda, Telegraf, and CloudFormation integrations
  • 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
Cons
  • Cloud-only deployment limits infrastructure choice
  • Usage-based pricing varies by region, engine, and configuration
  • Timestream for LiveAnalytics has an End of Support Notice
  • 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

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 →
  1. Amazon TimestreamTime-Series Databases 9.1Paid
  2. LindormTSDBTime-Series Databases 9.0Paid

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

More comparisons

Reviewed by iTechGuides Editors · Editorial team · Updated Oct 2026

Last updated · How we research and update