RapidsDB ISO BigData

RapidsDB Company Profile V2.4

RapidsDB

World Leading Real-time AI Big Data Analytics Platform.

2021 Founded
USA + SG Silicon Valley & Singapore
120x+ AI optimized GPU acceleration

Company profile

RapidsDB Pte Ltd

Founded in 2021 with presence in Silicon Valley (USA) and Singapore.

RapidsDB is an industry leader in the research and development of big data real-time processing and analysis, providing advanced and innovative big data technology, products, services, and total solutions to the global market.

The RapidsDB Unified Analytics Platform is an integrated real-time, AI-based, big data analytics AI platform that can be deployed in data centres.

RapidsDB offers a fully parallel, distributed, in-memory federated query system designed to support complex analytical SQL queries where data can reside across multiple source stores, producing integrated results at ultra-fast speed.

A pluggable connector-based framework, streaming data processing engine, and AI-enabled computing engine help enterprises build future-oriented data pipelines with high performance and cost effectiveness.

Reference clients

ASEAN-facing customer proof

V2.4 highlights reference clients across Singapore and Indonesia, including public sector, technology, and industry solution partners.

RapidsDB reference clients slide
Singapore public sector YIP INTSOI PT. EPSINDO PRIMA SOLUSI sentient.io NTQ Solution SEUCOM Indonesia

Products matrix

Real-time AI and big data analytics platform

The V2.4 product matrix organizes RapidsDB into five layers: data intelligence, analytics and mining, processing, storage, and integration.

RapidsDB products matrix slide
Data Intelligence

Rapids Insight + Rapids Manager

Intelligent data visualization and digital-brain visual management.

Data Analytics and Mining

Rapids ParallelAI + AIworkflow

AI-in-database framework and machine learning modeling platform.

Data Processing

RapidsDB, StreamDB, OLTP, OLAP, APU

Distributed in-memory database, streaming database, and acceleration chip.

Data Storage

RapidsDB Big Data Storage System

Platform storage foundation for large-scale analytics workloads.

Data Integration

Rapids Federation + Rapids SQL Router

Multi-source federated real-time analytics connectors and SQL routing.

RapidsDB features, benefits, and use cases slide

Features and benefits

Designed for real-time, elastic, secure analytics

  • Distributed in-memory architecture for computing and storage.
  • High performance and concurrency for complex multi-table queries.
  • Massive data processing with low latency at PB-scale storage and online analysis.
  • High elasticity and scalability through separated compute and storage.
  • Visualized management with simplified O&M and monitoring functions.
  • Secure, reliable, privacy-aware 24/7 operations.

AI native acceleration

GPU acceleration for GenAI and vector search

V2.4 shifts the technical emphasis toward AI-native database acceleration, vector similarity search, and high-bandwidth GPU execution.

Massive parallelism

GPU acceleration leverages thousands of specialized cores to perform matrix operations and vector similarity searches simultaneously.

High bandwidth

High Bandwidth Memory (HBM) feeds data to compute units at rates exceeding 2TB/s in modern accelerators.

AI native

Native tensor operations inside the database engine unify training, inference, and storage.

Why GPU Acceleration slide
Powering GenAI vector search slide

Performance

GPU vs. CPU acceleration profile

Query execution times for large-scale joins and vector scans show exponential gains on GPU hardware.

Legacy SQL (CPU) 1.0x
In-Memory (CPU SIMD) 4.2x
GPU Database (Gen 1) 24.0x
AI Optimized (NVIDIA H100) 120x+
RapidsDB GPU vs CPU performance slide

Applications

Industry applications and critical AI use cases

The platform supports low-latency analytics for financial services, telecommunications, energy, retail, online gaming, traffic, autonomous systems, fraud detection, and geospatial AI.

Critical industry use cases slide

Financial Services

  • High throughput and high concurrency.
  • High volume ad hoc query on current trading data.
  • Trading real-time risk evaluation.

Telecommunications

  • High throughput and high concurrency.
  • High speed fee charge.
  • Ad hoc query on detailed billing data.
  • Real-time billing fraud detection and alteration.

Energy

  • High throughput and high concurrency.
  • Real-time fee charge.
  • Ad hoc query on detailed billing data.
  • Real-time billing fraud detection and alteration.

Retail E-commerce

  • Real-time billing fraud detection and real-time alteration.
  • User behavior data collection in real time.

Online Gaming

  • Process high volume online concurrent users.
  • Low latency to guarantee game performance.

Traffic

  • RT traffic stream data analytics within second.
  • RT acquisition of high volume traffic data.
Rapids Data Platform Applications slide

Thank You

Intelligent Data, Enabling Future!

www.rapidsdb.co

RapidsDB logo yylai@rapidsdb.co @RapidsDB