vs

GreptimeDB vs InfluxDB

GreptimeDB: Rust observability database that keeps metrics, logs and traces in one columnar engine on object storage. InfluxDB: Purpose-built time-series database, rebuilt in Rust on Arrow, DataFusion and Parquet for version 3.

key differences

  • Only GreptimeDB has secondary indexes, full-text search, json, materialized views.
  • Only InfluxDB has triggers, role-based access.

choose greptimedb for

  • +Unified observability backend for metrics, logs and traces
  • +Prometheus long-term storage on S3
  • +IoT and connected-vehicle telemetry
  • +Edge data collection synced to the cloud

best at · Observability, Time-series, IoT

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
Columnar / OLAP, Search Engine
Columnar / OLAP
Type
Database engine
Database engine
Status
Active
Active
Developer
Greptime
InfluxData
First release
2022
2013
Latest version
1.2.1 (Sep 16, 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
15.1
51.0
Rank
#221
#24
GitHub stars
6.8K
31.8K
Stack Overflow questions
–
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
Strong
Eventual
Schema
Flexible
Flexible
Architecture
Single node, Distributed, Shared storage
Single node, Distributed, Shared storage, Client server
deployment
Self-hosted
✓
✓
Vendor-managed cloud
✓
✓
Serverless
✓
✓
Embedded
—
—
Edge
✓
✓
Clouds
AWS
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, PromQL
SQL, InfluxQL
Client languages
Go, Java, Rust, JavaScript
Go, Python, Java, JavaScript, C#
Best for
Observability, Time-series, IoT, Real-time analytics
Time-series, Observability, IoT, Real-time analytics

GreptimeDB vs InfluxDB: FAQ

What is the difference between GreptimeDB and InfluxDB?

GreptimeDB: Rust observability database that keeps metrics, logs and traces in one columnar engine on object storage. InfluxDB: Purpose-built time-series database, rebuilt in Rust on Arrow, DataFusion and Parquet for version 3. Only GreptimeDB has secondary indexes, full-text search, json, materialized views. Only InfluxDB has triggers, role-based access.

When should I choose GreptimeDB over InfluxDB?

Choose GreptimeDB for unified observability backend for metrics, logs and traces; prometheus long-term storage on S3; and IoT and connected-vehicle telemetry. Choose InfluxDB for infrastructure and application metrics; IoT sensor telemetry; and industrial equipment monitoring at the edge.

Is GreptimeDB or InfluxDB more popular?

InfluxDB ranks #24 on the WhichDB Score (51.0/100) and GreptimeDB ranks #221 (15.1/100). Popularity is not fit: check the requirements that matter for your project.

Are GreptimeDB and InfluxDB open source?

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