vs

Datalayers vs GreptimeDB

Datalayers: Multi-model database for IoT and observability: time series, full-text, vector and key-value on Parquet. GreptimeDB: Rust observability database that keeps metrics, logs and traces in one columnar engine on object storage.

key differences

  • Licensing: Datalayers is proprietary (Commercial (licence key; free trial)); GreptimeDB is open source (permissive) (Apache License 2.0).
  • Only Datalayers has vector search, role-based access.
  • Only GreptimeDB has json, materialized views.
  • GreptimeDB has a serverless option; Datalayers does not.

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 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

overview
Primary model
Time-Series
Time-Series
Also supports
Search Engine, Vector, Key-Value, Columnar / OLAP
Columnar / OLAP, Search Engine
Type
Database engine
Database engine
Status
Active
Active
Developer
Datalayers
Greptime
First release
2024
2022
Latest version
2.4.9 (Sep 18, 2026)
1.2.1 (Sep 16, 2026)
License
ProprietaryCommercial (licence key; free trial)
Open source (permissive)Apache License 2.0
Free tier
✓
✓
popularity
WhichDB Score
1.7
15.1
Rank
#520
#221
GitHub stars
–
6.8K
Stack Overflow questions
–
–
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
Flexible
Architecture
Single node, Distributed, Shared storage
Single node, Distributed, Shared storage
deployment
Self-hosted
✓
✓
Vendor-managed cloud
—
✓
Serverless
—
✓
Embedded
—
—
Edge
✓
✓
Clouds
–
AWS
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, PromQL
Client languages
–
Go, Java, Rust, JavaScript
Best for
IoT, Observability, Time-series, Search
Observability, Time-series, IoT, Real-time analytics

Datalayers vs GreptimeDB: FAQ

What is the difference between Datalayers and GreptimeDB?

Datalayers: Multi-model database for IoT and observability: time series, full-text, vector and key-value on Parquet. GreptimeDB: Rust observability database that keeps metrics, logs and traces in one columnar engine on object storage. Licensing: Datalayers is proprietary (Commercial (licence key; free trial)); GreptimeDB is open source (permissive) (Apache License 2.0). Only Datalayers has vector search, role-based access. Only GreptimeDB has json, materialized views.

When should I choose Datalayers over GreptimeDB?

Choose Datalayers for industrial IoT data platforms; unified metrics, logs and events storage; and hybrid keyword and vector retrieval for AI apps. Choose GreptimeDB for unified observability backend for metrics, logs and traces; prometheus long-term storage on S3; and IoT and connected-vehicle telemetry.

Is Datalayers or GreptimeDB more popular?

GreptimeDB ranks #221 on the WhichDB Score (15.1/100) and Datalayers ranks #520 (1.7/100). Popularity is not fit: check the requirements that matter for your project.

Are Datalayers and GreptimeDB open source?

No. Datalayers is proprietary, closed-source software. License: Commercial (licence key; free trial). Yes. GreptimeDB is open source. License: Apache License 2.0.