vs

Apache IoTDB vs InfluxDB

Apache IoTDB: Apache time-series database for industrial IoT with tree and table models and edge-to-cloud sync. InfluxDB: Purpose-built time-series database, rebuilt in Rust on Arrow, DataFusion and Parquet for version 3.

key differences

  • Only Apache IoTDB has pub/sub.
  • InfluxDB has a serverless option; Apache IoTDB does not.

choose apache-iotdb for

  • +Industrial equipment and PLC data
  • +Power plant and wind turbine monitoring
  • +Edge gateways syncing to a central cluster
  • +Rail and vehicle telemetry

best at · IoT, Time-series, Edge

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

overview
Primary model
Time-Series
Time-Series
Also supports
Relational, Hierarchical
Columnar / OLAP
Type
Database engine
Database engine
Status
Active
Active
Developer
Apache Software Foundation
InfluxData
First release
2019
2013
Latest version
2.0.11 (Sep 11, 2026)
3.12.1 (Oct 15, 2026)
License
Open source (permissive)Apache License 2.0
Open source (permissive)MIT or Apache-2.0 (Core); Enterprise is commercial
Free tier
✓
✓
popularity
WhichDB Score
22.8
51.0
Rank
#133
#24
GitHub stars
6.4K
31.8K
Stack Overflow questions
514
2.9K
scale & guarantees
Comfortable data size
Large (≤ 1 PB)
Large (≤ 1 PB)
Horizontal scaling
Native
Native
Multi-region
None
Read replicas
ACID
None
None
Consistency
Tunable
Eventual
Schema
Flexible
Flexible
Architecture
Single node, Distributed, Client server
Single node, Distributed, Shared storage, 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
SQL, InfluxQL
Client languages
Java, Python, C++, Go, C#
Go, Python, Java, JavaScript, C#
Best for
IoT, Time-series, Edge, Real-time analytics
Time-series, Observability, IoT, Real-time analytics

Apache IoTDB vs InfluxDB: FAQ

What is the difference between Apache IoTDB and InfluxDB?

Apache IoTDB: Apache time-series database for industrial IoT with tree and table models and edge-to-cloud sync. InfluxDB: Purpose-built time-series database, rebuilt in Rust on Arrow, DataFusion and Parquet for version 3. Only Apache IoTDB has pub/sub. InfluxDB has a serverless option; Apache IoTDB does not.

When should I choose Apache IoTDB over InfluxDB?

Choose Apache IoTDB for industrial equipment and PLC data; power plant and wind turbine monitoring; and edge gateways syncing to a central cluster. Choose InfluxDB for infrastructure and application metrics; IoT sensor telemetry; and industrial equipment monitoring at the edge.

Is Apache IoTDB or InfluxDB more popular?

InfluxDB ranks #24 on the WhichDB Score (51.0/100) and Apache IoTDB ranks #133 (22.8/100). Popularity is not fit: check the requirements that matter for your project.

Are Apache IoTDB and InfluxDB open source?

Yes. Apache IoTDB is open source. License: Apache License 2.0. Yes. InfluxDB is open source. License: MIT or Apache-2.0 (Core); Enterprise is commercial.