MonkDB

Architecture

Distributed by design. Deployed where your data lives.

  • Cloud
  • On-Prem
  • Edge
07 / Comparison

How MonkDB compares,
feature by feature.

A side-by-side of the capabilities enterprise teams evaluate when consolidating onto a unified data plane. Sources: vendor documentation, public benchmarks, and customer deployments.

Deployment

Where it runs

MonkDB
Cloud, On-Prem, Edge

Processor

CPU architectures supported

MonkDB
ARM, x86_64

Multi-Model

V, TS, GIS, FTS, DOC, SQL, BLOB, G

MonkDB
8 / 8

Hybrid Search

Vector and keyword in one query

MonkDB

HTAP

Transactional and analytical

MonkDB

AI-Native

Built-in embeddings, vector indexing, agent context

MonkDB

Sovereignty

Air-gapped, on-prem, zero egress

MonkDB

Licensing

Commercial model

MonkDB
Flexible EULAs
SupportedPartialNot supported

*Based on publicly available vendor documentation. Multi-model legend: V (Vector), TS (Timeseries), GIS (Geospatial), FTS (Full-Text), DOC (Document), SQL (Streaming SQL), BLOB (Blob), MMA (Multi-Modal AI), G (Graph).