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Features

MonkDB — Key Features

Our unified AI-native database platform brings together diverse data models with powerful built-in capabilities

Unified Data Engine

Store and query multiple data types — Vector, Time-Series, Geospatial, Blob, Document, Full-Text, Streaming SQL — in one platform.

High Performance & Scalability

Optimized for low-latency, real-time analytics. Handles millions of QPS for vector and time-series queries.

Enterprise-Grade Security

On-premises deployment with zero-trust architecture. Site-to-site VPN, IAM controls, and full data isolation.

Streaming SQL Engine

Ingest, query, and act on real-time data using SQL. Built-in support for event-driven and streaming workloads.

Developer First

SDKs in Python, TypeScript, and more. REST API, SQL interface, and intuitive schema design.

Built for Enterprise Use Cases

Serves multi-functional needs: operations, finance, HR, risk, security, and more. Replaces 3–5 siloed tools.

Observability & DevOps Ready

Native integration with CloudWatch, Prometheus, Grafana. Metrics, logs, and alerts out of the box.

Flexible Deployment

Private EKS-based control plane for orchestration. Works across AWS, Azure, GCP, and on-prem Kubernetes clusters.