vs

openGemini vs TDengine

openGemini: CNCF sandbox distributed time-series database from Huawei Cloud, compatible with InfluxQL. TDengine: Industrial-IoT time-series database with a table-per-device model and built-in streaming and caching.

key differences

  • Licensing: openGemini is open source (permissive) (Apache License 2.0); TDengine is open source (copyleft) (GNU AGPL v3.0 (open-source edition)).
  • Only TDengine has joins, secondary indexes, json, pub/sub.

choose opengemini for

  • +Scaling out InfluxDB 1.x workloads
  • +Operations and infrastructure metrics
  • +IoT telemetry with high cardinality

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
openGemini community (Huawei Cloud)
TAOS Data
First release
2022
2019
Latest version
1.5.2 (Jan 12, 2026)
3.4.3.3 (Oct 19, 2026)
License
Open source (permissive)Apache License 2.0
Open source (copyleft)GNU AGPL v3.0 (open-source edition)
Free tier
✓
✓
popularity
WhichDB Score
6.5
17.4
Rank
#360
#192
GitHub stars
1.2K
25.2K
Stack Overflow questions
–
225
scale & guarantees
Comfortable data size
Large (≤ 1 PB)
Large (≤ 1 PB)
Horizontal scaling
Native
Native
Multi-region
None
None
ACID
None
None
Consistency
Eventual
Strong
Schema
Schemaless
Strict
Architecture
Distributed, Client server
Distributed, Single node, Client server
deployment
Self-hosted
✓
✓
Vendor-managed cloud
—
✓
Serverless
—
—
Embedded
—
—
Edge
—
✓
Clouds
–
–
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
InfluxQL, PromQL
SQL
Client languages
Go, Java, Python
C, Java, Python, Go, Rust, JavaScript, C#
Best for
Time-series, Observability, IoT
IoT, Time-series, Streaming, Real-time analytics

openGemini vs TDengine: FAQ

What is the difference between openGemini and TDengine?

openGemini: CNCF sandbox distributed time-series database from Huawei Cloud, compatible with InfluxQL. TDengine: Industrial-IoT time-series database with a table-per-device model and built-in streaming and caching. Licensing: openGemini is open source (permissive) (Apache License 2.0); TDengine is open source (copyleft) (GNU AGPL v3.0 (open-source edition)). Only TDengine has joins, secondary indexes, json, pub/sub.

When should I choose openGemini over TDengine?

Choose openGemini for scaling out InfluxDB 1.x workloads; operations and infrastructure metrics; and IoT telemetry with high cardinality. Choose TDengine for industrial IoT and SCADA historian replacement; connected-vehicle telemetry; and smart meters and energy grids.

Is openGemini or TDengine more popular?

TDengine ranks #192 on the WhichDB Score (17.4/100) and openGemini ranks #360 (6.5/100). Popularity is not fit: check the requirements that matter for your project.

Are openGemini and TDengine open source?

Yes. openGemini is open source. License: Apache License 2.0. Yes. TDengine is open source. License: GNU AGPL v3.0 (open-source edition).