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Head-to-head · Time-Series Databases

Amazon Timestream vs Prometheus

  • 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
Prometheus #5 in Time-Series Databases 8.8/10 Free plan Free plan✓ 1 of 3 features Visit Prometheus

Amazon Timestream leads on 2 checks, Prometheus on 1, and 1 is 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 Prometheus
  • Most featuresAmazon Timestream · 3 of 3

Amazon Timestream scores higher on our rubric for time-series databases: 9.1 against 8.8 out of 10; our editors rank them #2 and #5.

Prometheus offers free plan; Amazon Timestream doesn't. On deployment, Prometheus gives you Self_hosted where Amazon Timestream offers Cloud. Amazon Timestream offers sql support; Prometheus doesn't. Amazon Timestream offers horizontal scaling; Prometheus doesn't.

Amazon Timestream is the better fit for managed AWS time-series deployments. Prometheus is the better fit for prometheus-native monitoring metrics.

  • Amazon Timestream fits best

    Managed AWS time-series deployments

  • Prometheus fits best

    Prometheus-native monitoring metrics

Advertiser disclosure: iTechGuides is reader-supported. Vendors can pay for top positions in our rankings and for a place on other products' pages, and we may earn a commission when you click some links. Bought places stand at the number bought; this page and our disclosure say so. Paying vendors may get a fuller, more detailed review from our editors, and that review can change their score. How we rank.

Side by side

Feature Amazon Timestream 9.1/10 Visit ↗ Prometheus 8.8/10 Visit ↗
At a glance
Editor score 9.1 8.8
Ranking #2 in Time-Series Databases #5 in Time-Series Databases
Best for Managed AWS time-series deployments Prometheus-native monitoring metrics
Pricing model Paid Free
Starting price — Free plan
Free plan — ✓ (best)
Free trial — —
Deployment Cloud Self-hosted
Platforms Web Web, Windows, macOS, Linux
Support Docs Community, Docs
Integrations 11 integrations 8 integrations
Built for Mid-market, Enterprise Small business, Mid-market, Enterprise
Features Amazon Timestream 3/3 · Prometheus 1/3
SQL support ✓ (best) —
Retention policies ✓ ✓
Horizontal scaling ✓ (best) —
Specs
Deployment Cloud Self_hosted
Query languages SQL, Flux, InfluxQL PromQL
Ingestion methods AWS SDKs, AWS CLI, WriteRecords API, AWS Lambda, AWS IoT Core, Amazon Managed Service for Apache Flink, Amazon Kinesis, Amazon MSK, Telegraf HTTP pull scraping; Pushgateway; Remote Write; OpenMetrics backfilling
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
  • PromQL supports selecting and aggregating labeled time-series data.
  • HTTP scraping, service discovery, and exporters support metric collection.
  • Recording rules, Alertmanager, federation, and remote storage extend monitoring.
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
  • No SQL support for querying time-series data.
  • Local storage is single-node rather than horizontally scaled.
  • Broader architectures require federation or remote-storage integrations.
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 →

Prometheus is an open-source monitoring and alerting toolkit for infrastructure, applications, and services, particularly in dynamic and microservice-oriented environments. It collects numeric metrics through HTTP-based scraping and stores…

Read the review →
  1. Amazon TimestreamTime-Series Databases 9.1Paid
  2. PrometheusTime-Series Databases 8.8Free plan

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

  • Prometheus — where it wins

    • PromQL supports selecting and aggregating labeled time-series data.
    • HTTP scraping, service discovery, and exporters support metric collection.
    • Recording rules, Alertmanager, federation, and remote storage extend monitoring.

    Where it doesn't

    • No SQL support for querying time-series data.
    • Local storage is single-node rather than horizontally scaled.
    • Broader architectures require federation or remote-storage integrations.
  • Amazon Timestream9.1/10 · Paid

    A managed AWS option with flexible ingestion, retention, SQL, and InfluxDB support.

    Visit siteFull verdict →
  • Prometheus8.8/10 · Free plan

    A Prometheus-native metrics platform with PromQL, alerting, retention, and federation.

    Visit PrometheusFull verdict →

More comparisons

All Time-Series databases comparisons → · Full ranking →

Reviewed by iTechGuides Editors · Editorial team · Updated Oct 2026

Last updated · How we research and update