TDengine
Time-series database for billions of connected sensors
- Also known as
- tdengine
What is TDengine?
Open-source time-series database for real-time processing of high-volume sensor data, supporting distributed deployment and AI-powered analytics.
TDengine pricing
Plans, per-tier features and add-ons, dated and linked to live pricing. Pricing changes often; always verify at source before you rely on it.
Free for up to 5,000 tags. Annual licenses from $12,500/year, perpetual from $31,250 (both scale with tag count). Optional support from $3,375/year. High Availability at +30%.
Free Tier
FreeFree for deployments up to 5,000 tags. Includes product usage rights. Standard Support available optionally.
- tags
- 5,000
- Up to 5,000 tags
- Product usage rights
Annual License
Annual license for deployments above 5,000 tags. Pricing varies by tag count. Standard Support included.
- Pricing scales from 7,500 to 500,000+ tags
- Standard Support
- Software updates
- Security patches
Perpetual License
One-time perpetual license for deployments above 5,000 tags. Pricing varies by tag count.
- Perpetual usage rights
Add-ons
- Annual Support (Free Tier)$3375/yr
- High Availability30% per annual or perpetual plan cost
What TDengine does
The capabilities that matter for time-series databases, normalised so it lines up with every alternative. “-” means we haven't confirmed it, not that it's missing.
- Query language (SQL / PromQL / InfluxQL-Flux / Graphite)
- -
- SQL compatibility
- -
- Ingest model
- Push
- Data model
- Metrics (labels/tags)
- Downsampling / rollups
- Continuous aggregates
- Retention / TTL
- -
- Compression (columnar / delta / Gorilla)
- -
- High-cardinality handling
- Strong
- Clustering / horizontal scale
- Distributed / sharded
- Replication / HA
- ✓
- Deployment
- Self-hosted
- Prometheus remote-write compatible
- -
- Licence class
- Source-available
Platform & deployment
Independently observed- CLI
- macOS
- Linux
- Windows
- Cloud / SaaS
- Hybrid
- Self-hosted
Integrations (3)
Independently observed- Java
- Python
- Go
Security & compliance
Known vulnerabilities: 0 (0 in the last 12 months) sourcea count reflects scale & disclosure, not quality
TDengine FAQ
Common questions about TDengine, answered from independent, dated evidence.
What is TDengine?
AI-native industrial data platform and high-performance time-series database that unifies data ingestion, storage, analytics, modeling, visualization, and AI applications. It is indexed under Time-Series Databases.
Source: https://tdengine.com
Is TDengine free to use?
TDengine is open source, so it can be self-hosted and used at no licence cost. It is released under the AGPL-3.0 licence. Paid editions are also offered: Annual License and Perpetual License, priced on request. Pricing changes often, so verify at source before relying on it.
Source: https://tdengine.com
What platforms does TDengine support?
TDengine supports macOS, Linux and a command-line interface. Platforms we have not confirmed are simply not listed here rather than ruled out.
Can TDengine be self-hosted?
Yes. TDengine can be deployed cloud / SaaS, hybrid and self-hosted, so it does not have to run on the vendor's infrastructure.
What does TDengine integrate with?
We have confirmed 3 integrations for TDengine, including Java, Python and Go. This is what we could verify from public sources, so the vendor may support others we have not indexed.
What security certifications does TDengine have?
We have independently confirmed SOC 2 and ISO 27001 for TDengine. Certifications we do not list are ones we have not been able to verify from public sources, which is not the same as TDengine not holding them. Always confirm compliance directly before you rely on it.
Source: https://tdengine.com
Is TDengine open source?
Yes. TDengine is published under the AGPL-3.0 licence, a copyleft licence, so check its terms before embedding it in a closed-source product. Licence terms can change between releases, so verify against the repository for the version you intend to use.
TDengine alternatives
Other time-series databases we track, ranked by the same independent score.
- PrometheusOpen-source metrics and time-series monitoring solution for systems and applicationsmedium · 58%
- ClickHouseA high-performance, column-oriented database optimized for real-time analytics at petabyte scalemedium · 61%
- InfluxDBA time-series database engineered for real-time ingestion and analysis of high-velocity operational datamedium · 70%
- TimescaleDBPostgreSQL-based time-series database system designed to store and query petabyte-scale sensor and machine data efficientlymedium · 63%
- Amazon Timestreammedium · 61%
- QuestDBA fast, open-source database optimized for high-volume time-series data with millisecond query performancemedium · 63%
Compare TDengine
Side by side against other time-series databases, attribute by attribute, with a source on every value.
The vioscaleAI score: one lens on the evidence
Not user reviews and not a paid placement: a confidence-weighted blend of the independent signals below (adoption, activity, security posture, and more), which you can sort and re-weight yourself. Vendors can correct their listing but can never move their rank, and stars are weighted low as a vanity metric. It is one way to read the evidence for TDengine, not the verdict.
| Signal | Score | Weight | Contribution | Evidence |
|---|---|---|---|---|
| Development activity | 63 | 0.14 | 8.5 | ✓ |
| Security posture | 65 | 0.12 | 7.9 | ✓ |
| Release cadence | 84 | 0.08 | 6.8 | ✓ |
| Stars | 83 | 0.05 | 3.9 | ✓ |
| Capabilities | 29 | 0.08 | 2.3 | ✓ |
| Security score | 40 | 0.05 | 2.2 | ✓ |
| Integrations | 17 | 0.05 | 0.9 | ✓ |
| Dependent projects | 15 | 0.05 | 0.8 | ✓ |
| Package downloads | 0 | 0.04 | 0.0 | - |
| Developer Q&A activity | 0 | 0.14 | 0.0 | - |
Computed . Re-weight it by intent, or see the full method.
All data & sourcesshow ↓
Every value we hold, with its source, retrieval date, and confidence. This is the evidence behind the score: don't trust it, verify it.
Activity
| Attribute | Value | Evidence |
|---|---|---|
| Commits last 30d | 100 | mediumsource · 2026-09-10 · 65% |
Adoption
Content
| Attribute | Value | Evidence |
|---|---|---|
| Faq | 7 items | mediumsource · 2026-09-10 · 63% |
Features
| Attribute | Value | Evidence |
|---|---|---|
| Capabilities | Clustering: distributed · Data model: metrics · Deployment: self_hosted · Downsampling: continuous_aggregates · Ingest model: push · Licence class: source_available | mediumsource · 2026-09-10 · 60% |
Integrations
| Attribute | Value | Evidence |
|---|---|---|
| Count | 3 | mediumsource · 2026-08-13 · 60% |
Language
| Attribute | Value | Evidence |
|---|---|---|
| Primary | C | highsource · 2026-09-10 · 90% |
License
| Attribute | Value | Evidence |
|---|---|---|
| Spdx | AGPL-3.0 | highsource · 2026-09-10 · 95% |
Pricing
Release
Reliability
| Attribute | Value | Evidence |
|---|---|---|
| Status page | Yes | mediumsource · 2026-08-01 · 60% |
Security
| Attribute | Value | Evidence |
|---|---|---|
| Iso27001 | Yes | lowsource · 2026-09-10 · 48% |
| Soc2 | Yes | lowsource · 2026-09-10 · 48% |
| Scorecard | 4 | highsource · 2026-09-10 · 90% |
| Vulnerabilities | Count: 0 · Source: https://advisories.ecosyste.ms/api/v1/advisories?ecosystem=npm&package_name=%40tdengine%2Fclient&per_page=100 · Last 12m: 0 | highsource · 2026-09-10 · 90% |
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