Audience

Data teams, machine-learning engineers and analytics-driven businesses in search of a solution providing vector search, hybrid analytics and real-time insights across structured and unstructured data

About ZeusDB

ZeusDB is a next-generation, high-performance data platform designed to handle the demands of modern analytics, machine learning, real-time insights, and hybrid data workloads. It supports vector, structured, and time-series data in one unified engine, allowing recommendation systems, semantic search, retrieval-augmented generation pipelines, live dashboards, and ML model serving to operate from a single store. The platform delivers ultra-low latency querying and real-time analytics, eliminating the need for separate databases or caching layers. Developers and data engineers can extend functionality with Rust or Python logic, deploy on-premises, hybrid, or cloud, and operate under GitOps/CI-CD patterns with observability built in. With built-in vector indexing (e.g., HNSW), metadata filtering, and powerful query semantics, ZeusDB enables similarity search, hybrid retrieval, filtering, and rapid application iteration.

Integrations

API:
Yes, ZeusDB offers API access

Ratings/Reviews

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Company Information

ZeusDB
Founded: 2012
United States
www.zeusdb.com

Videos and Screen Captures

ZeusDB Screenshot 1
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Product Details

Platforms Supported
Cloud
On-Premises
Training
Documentation
Live Online
Support
Online

ZeusDB Frequently Asked Questions

Q: What kinds of users and organization types does ZeusDB work with?
Q: What languages does ZeusDB support in their product?
Q: What other applications or services does ZeusDB integrate with?
Q: Does ZeusDB have an API?
Q: What type of training does ZeusDB provide?

ZeusDB Product Features

Relational Database

ACID Compliance
Referential Integrity
Unicode Support
Multi-Platform
Data Failure Recovery
SQL DDL Support
SQL DML Support
System Catalog