Amazon RDS

Amazon RDS (Relational Database Service) is an easy-to-manage relational database service optimized for total cost of ownership, automating provisioning, configuring, backing up and patching. It offers flexibility to customize databases across eight engines and two deployment options, and customers can get started with familiar open source and commercial database software including PostgreSQL, MySQL, MariaDB, SQL Server, Oracle and Db2. Amazon Aurora, offered as a separate product, provides MySQL- and PostgreSQL-compatible performance and availability at global scale at a fraction of the cost of commercial databases.

Official product page

4published use cases

3industries

2countries on record

Generative AI

top AI capability

Evidence mix: High 4 · Medium 0 · Low 0 — bands are computed from each record's evidence signals.

Industry

Country

4 use cases

Technology & SoftwareGenerative AIConversational AI

Personio builds an AI HR assistant on Amazon Bedrock with EU data residency

HR software provider Personio built Personio Assistant on Amazon Bedrock, embedded in its product so HR teams can query employee data in natural language. The AWS case study says it handles 70 percent of routine HR requests, cut HR reporting time by 21 percent and day-to-day processes by 20 percent, and stores data within the EU.

PersonioAmazon Bedrock · Amazon Bedrock Knowledge Bases · Amazon S3 +3

ManufacturingComputer VisionPredictive Analytics

ŠKODA's MAGIC EYE computer vision system predicts and prevents production line breakdowns

ŠKODA AUTO built MAGIC EYE, a computer-vision predictive maintenance system, using AWS Internet of Things services and in-house technology to move from a reactive to a proactive approach to assembly line breakdowns. Six cameras mounted by a conveyor frame collect nearly 450,000 photos as a car moves through the production line, and 10 artificial neural networks analyze them to detect irregularities such as dirt, loose or cracked bolts, or aluminum track damage, alerting a maintenance operator. The neural networks can recognize 14 defect types and 178 classes, and AWS lists reduced assembly line downtime and increased staff productivity among the benefits.

ŠKODA AUTO· Czech RepublicAmazon S3 · Amazon EC2 · Amazon RDS +1

Life SciencesGenerative AIPredictive AnalyticsDigital Twins & Simulation

Phagos uses generative AI on AWS to match bacteriophages to bacterial infections

Phagos, a Paris-based biotech startup, uses generative AI models built with Amazon SageMaker AI to match bacteriophages to target bacteria for phage therapy, replacing a manual trial-and-error process. The AI models cut wet-lab testing needs by 50% and reduced phage-candidate screening time by 99.5%, from 29 hours to 10 minutes per bacteria. Phagos has treated more than half a million animals in France and can now develop a new treatment in two months versus 10+ years for traditional antibiotic development.

Phagos· FranceAmazon SageMaker AI · Amazon EC2 · Amazon S3 +1

Life SciencesDocument IntelligenceRetrieval-Augmented GenerationAgentic AI

Novartis: Accelerating Drug Development with AI-Powered Clinical Trial Transformation

Novartis partnered with AWS Professional Services and Accenture to modernize their drug development infrastructure and integrate AI across clinical trials, with the goal of reducing trial development cycles by at least six months. The initiative built a GXP-compliant data mesh platform on AWS with Databricks for processing, enabling AI use cases including protocol generation and an intelligent decision system (digital twin). Early results from the patient safety domain showed 72% query speed improvements, 60% storage cost reduction, and 160+ hours of manual work eliminated. The protocol generation use case achieved 83-87% acceleration in producing compliant protocols.

NovartisAmazon Web Services (AWS) · Databricks · Amazon S3 +8