vs

InfluxDB vs TDengine

InfluxDB: Purpose-built time-series database, rebuilt in Rust on Arrow, DataFusion and Parquet for version 3. TDengine: Industrial-IoT time-series database with a table-per-device model and built-in streaming and caching.

key differences

  • Licensing: InfluxDB is open source (permissive) (MIT or Apache-2.0 (Core); Enterprise is commercial); TDengine is open source (copyleft) (GNU AGPL v3.0 (open-source edition)).
  • Only InfluxDB has triggers.
  • Only TDengine has secondary indexes, json, pub/sub.
  • InfluxDB has a serverless option; TDengine does not.

choose influxdb for

  • +Infrastructure and application metrics
  • +IoT sensor telemetry
  • +Industrial equipment monitoring at the edge
  • +Real-time Grafana dashboards

best at · Time-series, Observability, IoT

choose tdengine for

  • +Industrial IoT and SCADA historian replacement
  • +Connected-vehicle telemetry
  • +Smart meters and energy grids
  • +Edge-to-cloud sensor data aggregation

best at · IoT, Time-series, Streaming

overview
Primary model
Time-Series
Time-Series
Also supports
Columnar / OLAP
Relational
Type
Database engine
Database engine
Status
Active
Active
Developer
InfluxData
TAOS Data
First release
2013
2019
Latest version
3.12.1 (Oct 15, 2026)
3.4.3.3 (Oct 19, 2026)
License
Open source (permissive)MIT or Apache-2.0 (Core); Enterprise is commercial
Open source (copyleft)GNU AGPL v3.0 (open-source edition)
Free tier
✓
✓
popularity
WhichDB Score
51.0
17.4
Rank
#24
#192
GitHub stars
31.8K
25.2K
Stack Overflow questions
2.9K
225
scale & guarantees
Comfortable data size
Large (≤ 1 PB)
Large (≤ 1 PB)
Horizontal scaling
Native
Native
Multi-region
Read replicas
None
ACID
None
None
Consistency
Eventual
Strong
Schema
Flexible
Strict
Architecture
Single node, Distributed, Shared storage, Client server
Distributed, Single node, Client server
deployment
Self-hosted
✓
✓
Vendor-managed cloud
✓
✓
Serverless
✓
—
Embedded
—
—
Edge
✓
✓
Clouds
AWS, Google Cloud, Azure
–
capabilities
Transactions
—
—
Joins
✓
✓
Secondary indexes
—
✓
Full-text search
—
—
Vector search
—
—
Geospatial
—
—
JSON
—
✓
Change data capture
—
—
Triggers
✓
—
Stored procedures
—
—
Materialized views
—
—
TTL / expiry
✓
✓
Pub/Sub
—
✓
Columnar storage
✓
✓
In-memory
—
—
Durable persistence
✓
✓
Compression
✓
✓
Encryption at rest
—
—
Role-based access
✓
✓
Time travel
—
—
Branching
—
—
Online schema changes
—
—
Streaming ingest
✓
✓
Offline sync
—
—
Runs in WebAssembly
—
—
interfaces
Query languages
SQL, InfluxQL
SQL
Client languages
Go, Python, Java, JavaScript, C#
C, Java, Python, Go, Rust, JavaScript, C#
Best for
Time-series, Observability, IoT, Real-time analytics
IoT, Time-series, Streaming, Real-time analytics

InfluxDB vs TDengine: FAQ

What is the difference between InfluxDB and TDengine?

InfluxDB: Purpose-built time-series database, rebuilt in Rust on Arrow, DataFusion and Parquet for version 3. TDengine: Industrial-IoT time-series database with a table-per-device model and built-in streaming and caching. Licensing: InfluxDB is open source (permissive) (MIT or Apache-2.0 (Core); Enterprise is commercial); TDengine is open source (copyleft) (GNU AGPL v3.0 (open-source edition)). Only InfluxDB has triggers. Only TDengine has secondary indexes, json, pub/sub.

When should I choose InfluxDB over TDengine?

Choose InfluxDB for infrastructure and application metrics; IoT sensor telemetry; and industrial equipment monitoring at the edge. Choose TDengine for industrial IoT and SCADA historian replacement; connected-vehicle telemetry; and smart meters and energy grids.

Is InfluxDB or TDengine more popular?

InfluxDB ranks #24 on the WhichDB Score (51.0/100) and TDengine ranks #192 (17.4/100). Popularity is not fit: check the requirements that matter for your project.

Are InfluxDB and TDengine open source?

Yes. InfluxDB is open source. License: MIT or Apache-2.0 (Core); Enterprise is commercial. Yes. TDengine is open source. License: GNU AGPL v3.0 (open-source edition).