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InfluxDB vs TDengine

Side-by-side comparison of features, pricing, ratings, and alternatives.

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InfluxDB
InfluxDBHigh-performance time-series database for real‑time analytics
TDengine
TDengineHigh-performance open-source time-series database for IoT and big data
Overview
Description

InfluxDB is an open‑source time‑series database designed for fast, high‑volume data ingestion and querying. It powers monitoring, IoT, and analytics workloads with a purpose‑built query language and native support for down‑sampling and retention policies. The platform offers both self‑hosted and cloud‑managed options, enabling developers and DevOps teams to store, process, and visualize metrics, events, and logs at scale. Integrated with the InfluxData stack and popular tools like Grafana, it simplifies building end‑to‑end observability pipelines.

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.

Pricing
Freemium
Free
Category
Databases
Databases
Best for
Developers and DevOps teams
Developers and Data Engineers
Specifications
Spec source
AI-estimated
AI-estimated
open source
Yes
Yes
github stars
31,651+27%
24,992
api available
Yes
Yes
support options
Email, Documentation, Community Forum
Email, Documentation
key integrations
Telegraf, Kapacitor, Chronograf, Grafana
Python, Java, C++, Go
primary language
Rust
C
deployment
Self-hosted
Pros & Cons
Pros
  • Open‑source core with active community
  • High ingestion rate and low query latency
  • Flexible deployment: cloud or self‑hosted
  • Rich ecosystem of integrations and tooling
  • 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
Cons
  • Advanced features like clustering require paid subscription
  • Learning curve for Flux language
  • Limited built‑in security controls in the free version
  • Self‑hosted deployment requires operational expertise
  • Ecosystem is smaller than some commercial TSDBs
  • Advanced analytics features are limited compared to specialized platforms
Community & Metrics
Upvotes
0
0
User rating
Not enough data
Not enough data

More alternatives & similar tools

Alternatives to InfluxDB

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TimescaleDB
TimescaleDB

Open‑source time‑series database built on PostgreSQL for scalable analytics

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TDengine
TDengine

High-performance open-source time-series database for IoT and big data

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Prometheus
Prometheus

Monitoring system and time series database

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Alternatives to TDengine

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TimescaleDB
TimescaleDB

Open‑source time‑series database built on PostgreSQL for scalable analytics

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InfluxDB
InfluxDB

High-performance time-series database for real‑time analytics

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Prometheus
Prometheus

Monitoring system and time series database

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The Verdict

AI-generated from listing data

TDengine is a completely free, open‑source TSDB that excels at ultra‑high‑volume ingestion with simple SQL, while InfluxDB offers a richer ecosystem and optional paid clustering.

Key differences

  • TDengine is fully free and self‑hosted; InfluxDB uses a freemium model where clustering needs a paid tier.
  • InfluxDB includes built‑in tooling (Telegraf, Kapacitor, Chronograf, Grafana) for monitoring and alerting; TDengine lacks comparable native ecosystem.
  • TDengine’s write path is optimized for millions of points per second on commodity hardware; InfluxDB also fast but relies on line protocol and may need paid clustering for scale.
  • TDengine provides a web‑based console for cluster health; InfluxDB relies on Chronograf/Grafana for UI.
  • InfluxDB’s query language includes Flux for advanced analytics; TDengine uses ANSI‑SQL extensions only.
DimensionWinner

Pricing & value

TDengine is 100% free open‑source; InfluxDB’s clustering and advanced features require paid subscription.

TDengine

Ease of use / learning curve

TDengine uses familiar ANSI‑SQL extensions; InfluxDB adds Flux, which has a steeper learning curve.

TDengine

Features & depth

InfluxDB provides retention policies, continuous queries, Kapacitor alerts, and extensive UI tools; TDengine’s feature set is narrower.

InfluxDB

Integrations & ecosystem

InfluxDB ships with Telegraf, Kapacitor, Chronograf, Grafana; TDengine only offers native SDKs for a few languages.

InfluxDB

Scalability

Both support horizontal scaling; TDengine via distributed architecture, InfluxDB via cluster mode (paid).

Tie

Support

InfluxDB adds community forum to email/documentation; TDengine offers only email and docs.

InfluxDB

Security & privacy

Neither specification mentions built‑in security controls; both rely on external measures.

Tie

Choose InfluxDB if…

Organizations that want out‑of‑the‑box monitoring, alerting, and UI tooling, and are willing to pay for clustering.

Choose TDengine if…

Teams needing zero licensing cost, high ingestion rates, and comfortable with SQL and self‑hosting.

Common questions

Is there any cost to run TDengine in production?

No, TDengine is free and open‑source with no licensing fees.

Can InfluxDB scale horizontally without paying?

Horizontal clustering is only available in paid subscription tiers.

Which platform has more ready‑made integrations for IoT data collection?

InfluxDB, via Telegraf agents and native Grafana support, offers a broader IoT integration ecosystem.