Name: Antelope Database
Brand: Turing
Availability: InStock

Antelope Database is Turing’s fully self-developed multi-modal compute engine. One kernel unifies relational, vector, time-series, and document data—an auditable AI data foundation where data stays in your domain and the stack stays under your control.

01 · Context

A data foundation ready for AI

Enterprise data foundations are moving from storage-and-analytics to AI data infrastructure. Traditional multi-database stacks scatter data across engines, making cross-modal queries hard and consistency fragile.

Antelope responds with one logical kernel, multiple physical engines, unified SQL, and cross-modal joins—so business data and AI vectors live on the same foundation. Upper apps such as TuringFin, TuringRAG, and the AI trading agent all run on this base.

02 · Capabilities

One kernel, many data modalities

Antelope multimodal architecture: one kernel for relational, document, time-series, graph, and spatiotemporal data — One kernel, multiple physical engines—unified SQL across modalities

Multi-modal in one

One kernel carries relational, vector, time-series, document, graph, and spatiotemporal data with cross-modal SQL and ACID.

High-performance analytics

Single-node second-level processing of tens of billions of rows; production support for 2M concurrent queries under 2.3s.

In-Database AI

Vector search pushed into the kernel with in-DB RAG and inference cache—hits can cut latency from 12s to 0.06s.

Elastic · Highly available

Metadata, compute, and data decoupled; second-level self-heal with RPO 0 and uninterrupted service.

PostgreSQL-compatible with unified SQL, ODBC/JDBC, and open APIs to lower migration cost.

03 · Value

One stack instead of many databases

Concurrent queries <2.3s (GF Securities)

12s→0.06s

Response after inference cache hit

RPO · Second-level self-heal, no downtime

70+

Enterprises in continuous production

One kernel for data and AI removes multi-DB purchase, ops, and integration cost. Data stays in-domain with enterprise encryption, national crypto, classification, and audit trails. Certified for domestic CPU/OS stacks including Haiguang, Kunpeng, Feiteng, Loongson, Kylin, and UOS.

04 · Customers

70+ enterprises in production

01
70+ enterprises in production
Finance, industry, government, transport, and energy
02
Reference customers
GF Securities, China Southern Airlines, China Southern Power Grid, China Telecom, Jincheng Smart City
03
GF Securities branch database
400T scale supporting 2M concurrent queries

05 · Delivery

Private and domestic-stack ready

Private deployment and domestic-stack delivery; data stays in-domain. Delivery & support →

A data foundation ready for AI

One kernel, many data modalities

One stack instead of many databases

70+ enterprises in production

Private and domestic-stack ready

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