Head-to-head · Time-Series Databases
Amazon Timestream vs TDengine
Amazon Timestream leads on 0 checks, TDengine 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 TDengine
Amazon Timestream scores higher on our rubric for time-series databases: 9.1 against 8.2 out of 10; our editors rank them #2 and #10.
TDengine offers free plan; Amazon Timestream doesn't. On deployment, TDengine gives you Both where Amazon Timestream offers Cloud.
Amazon Timestream is the better fit for managed AWS time-series deployments. TDengine is the better fit for industrial telemetry and high-volume ingestion.
- Amazon Timestream fits best
Managed AWS time-series deployments
- TDengine fits best
Industrial telemetry and high-volume ingestion
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Side by side
| Feature | Amazon Timestream 9.1/10 Visit ↗ | TDengine 8.2/10 Visit ↗ |
|---|---|---|
| At a glance | ||
| Editor score | 9.1 | 8.2 |
| Ranking | #2 in Time-Series Databases | #10 in Time-Series Databases |
| Best for | Managed AWS time-series deployments | Industrial telemetry and high-volume ingestion |
| Pricing model | Paid | Free plan + paid |
| Starting price | — | — |
| Free plan | — | ✓ (best) |
| Free trial | — | — |
| Deployment | Cloud | Cloud, Self-hosted |
| Platforms | Web | Web, Windows, macOS, Linux |
| Support | Docs | Docs · 24/7 |
| Integrations | 11 integrations | 14 integrations |
| Built for | Mid-market, Enterprise | Small business, Mid-market, Enterprise |
| Features Amazon Timestream 3/3 · TDengine 3/3 | ||
| SQL support | ✓ | ✓ |
| Retention policies | ✓ | ✓ |
| Horizontal scaling | ✓ | ✓ |
| Specs | ||
| Deployment | Cloud | Both |
| Query languages | SQL, Flux, InfluxQL | SQL |
| 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, InfluxDB Line Protocol, OpenTSDB Telnet Protocol, OpenTSDB JSON Protocol, MQTT, OPC UA, OPC DA, Kafka, CSV, PI System, MySQL, PostgreSQL, Oracle, MongoDB |
| Our review | ||
| Pros |
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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 → |
TDengine is a distributed time-series database for industrial and IoT data. It stores and queries timestamped data through TDengine SQL, with features for configurable retention, distributed clustering, stream processing, data… 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
TDengine — where it wins
- Supports MQTT, Kafka, OPC UA, relational databases, and line protocols
- Combines retention, clustering, stream processing, and edge-to-cloud synchronization
- Offers self-hosted, managed cloud, and a free tier for up to 5,000 tags
Where it doesn't
- Paid cloud pricing starts at $970 per month
- Free Tier is limited to self-hosted usage up to 5,000 tags
- Paid self-hosted licenses support 7,500 tags
- Amazon Timestream9.1/10 · Paid
A managed AWS option with flexible ingestion, retention, SQL, and InfluxDB support.
Visit siteFull verdict → - TDengine8.2/10 · Free plan
A flexible industrial time-series database with broad ingestion and deployment options.
Visit TDengineFull verdict →
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All Time-Series databases comparisons → · Full ranking →
Reviewed by iTechGuides Editors · Editorial team · Updated Oct 2026
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