vs

Datalayers vs TDengine

Datalayers: Multi-model database for IoT and observability: time series, full-text, vector and key-value on Parquet. TDengine: Industrial-IoT time-series database with a table-per-device model and built-in streaming and caching.

key differences

  • Licensing: Datalayers is proprietary (Commercial (licence key; free trial)); TDengine is open source (copyleft) (GNU AGPL v3.0 (open-source edition)).
  • Only Datalayers has full-text search, vector search.
  • Only TDengine has json, pub/sub.

choose datalayers for

  • +Industrial IoT data platforms
  • +Unified metrics, logs and events storage
  • +Hybrid keyword and vector retrieval for AI apps
  • +Edge-to-cloud telemetry

best at · IoT, Observability, Time-series

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
Search Engine, Vector, Key-Value, Columnar / OLAP
Relational
Type
Database engine
Database engine
Status
Active
Active
Developer
Datalayers
TAOS Data
First release
2024
2019
Latest version
2.4.9 (Sep 18, 2026)
3.4.3.3 (Oct 19, 2026)
License
ProprietaryCommercial (licence key; free trial)
Open source (copyleft)GNU AGPL v3.0 (open-source edition)
Free tier
✓
✓
popularity
WhichDB Score
1.7
17.4
Rank
#520
#192
GitHub stars
–
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
Strict
Strict
Architecture
Single node, Distributed, Shared storage
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
SQL, PromQL
SQL
Client languages
–
C, Java, Python, Go, Rust, JavaScript, C#
Best for
IoT, Observability, Time-series, Search
IoT, Time-series, Streaming, Real-time analytics

Datalayers vs TDengine: FAQ

What is the difference between Datalayers and TDengine?

Datalayers: Multi-model database for IoT and observability: time series, full-text, vector and key-value on Parquet. TDengine: Industrial-IoT time-series database with a table-per-device model and built-in streaming and caching. Licensing: Datalayers is proprietary (Commercial (licence key; free trial)); TDengine is open source (copyleft) (GNU AGPL v3.0 (open-source edition)). Only Datalayers has full-text search, vector search. Only TDengine has json, pub/sub.

When should I choose Datalayers over TDengine?

Choose Datalayers for industrial IoT data platforms; unified metrics, logs and events storage; and hybrid keyword and vector retrieval for AI apps. Choose TDengine for industrial IoT and SCADA historian replacement; connected-vehicle telemetry; and smart meters and energy grids.

Is Datalayers or TDengine more popular?

TDengine ranks #192 on the WhichDB Score (17.4/100) and Datalayers ranks #520 (1.7/100). Popularity is not fit: check the requirements that matter for your project.

Are Datalayers and TDengine open source?

No. Datalayers is proprietary, closed-source software. License: Commercial (licence key; free trial). Yes. TDengine is open source. License: GNU AGPL v3.0 (open-source edition).