TDengine vs Prometheus
Side-by-side comparison of features, pricing, ratings, and alternatives.
TDengine is an open‑source time‑series database designed for massive IoT, industrial IoT, and big‑data workloads. It stores, compresses, and queries billions of data points per day with sub‑second latency. Its native SQL support, multi‑language client libraries, and lightweight footprint make it ideal for developers and data engineers building real‑time analytics pipelines on any platform.
Prometheus is a free software application used for event monitoring and alerting. It records real-time metrics in a time series database (allowing for high dimensionality) built using a HTTP pull model, with flexible queries and real-time alerting. The project is written in Go and licensed under the Apache 2 license, with source code available on GitHub.
- Free and open‑source with no licensing fees
- Optimized for high‑volume time‑series ingestion
- SQL compatibility reduces learning curve
- Multi‑language SDKs simplify integration
- Highly scalable and performant
- Flexible query language and data model
- Real-time alerting and notification system
- Large ecosystem of integrations and community support
- Self‑hosted deployment requires operational expertise
- Ecosystem is smaller than some commercial TSDBs
- Advanced analytics features are limited compared to specialized platforms
- Steep learning curve due to complex query language and data model
- Requires significant resources and infrastructure to deploy and manage
- Limited support for historical data and long-term storage
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The Verdict
AI-generated from listing dataTDengine is the safer default for pure time‑series ingestion with SQL familiarity, while Prometheus excels for monitoring with built‑in alerting and a larger ecosystem.
Key differences
- •TDengine uses ANSI‑SQL with time‑series extensions; Prometheus uses its own PromQL language.
- •TDengine offers built‑in data compression (up to 90% storage reduction); Prometheus lacks long‑term compression.
- •Prometheus includes native alerting and an Alertmanager; TDengine does not provide built‑in alerting.
- •Prometheus has a broader integration ecosystem (Kubernetes, Docker, Grafana); TDengine’s integrations focus on language SDKs.
Pricing & value
Both are free, but TDengine’s compression reduces storage costs, delivering more value for high‑volume sensor data.
Ease of use / learning curve
TDengine’s ANSI‑SQL lowers the learning barrier for developers; PromQL is noted as steep.
Features & depth
Prometheus provides built‑in alerting, Alertmanager, and a multi‑dimensional model, which TDengine lacks.
Integrations & ecosystem
Prometheus integrates with Kubernetes, Docker, Grafana and has a larger community; TDengine’s integrations are limited to language SDKs.
Scalability
Both are self‑hosted, open‑source, and designed for high‑performance ingestion; each scales horizontally on commodity servers.
Support
TDengine offers email support plus documentation; Prometheus relies on community support only.
Choose TDengine if…
Developers/Data Engineers needing high‑throughput ingestion, SQL familiarity, and low storage cost.
Choose Prometheus if…
DevOps/SRE teams focused on monitoring, alerting, and extensive tool integrations.
Common questions
Is there any licensing cost for either product?
Both TDengine and Prometheus are free and open‑source with no licensing fees.
Which tool better supports long‑term storage of sensor data?
TDengine provides built‑in compression and automatic data aging, making it more suitable for long‑term storage.
Can I get built‑in alerting out of the box?
Prometheus includes an Alertmanager for real‑time alerts; TDengine does not have native alerting.