Amazon RDS manages relational databases across 7 engines — Aurora, MySQL, PostgreSQL, MariaDB, Oracle, SQL Server, and Db2 — handling patching, backups, failover, and scaling automatically. This guide covers Multi-AZ deployments, Aurora Serverless v2, read replicas, Graviton instances, Blue/Green deployments, pricing, security, and a comparison with Azure SQL Database.
Azure AI Document Intelligence extracts text, tables, key-value pairs, and structured fields from documents using prebuilt and custom ML models — processing invoices, receipts, IDs, tax forms, and contracts at scale. This guide covers prebuilt models, custom model training, the Layout API, document classification, pricing tiers, security, and a comparison with Amazon Textract.
Azure AI Vision provides computer vision capabilities powered by Florence foundation models — image analysis, optical character recognition, spatial analysis, and facial recognition through simple API calls. This guide covers Image Analysis 4.0, custom models, product recognition, background removal, spatial analytics for retail, pricing, security, and a comparison with Amazon Rekognition.
Azure AI Speech delivers speech-to-text, text-to-speech, speech translation, and speaker recognition across 140+ languages — with real-time transcription, custom neural voices, pronunciation assessment, and avatar integration. This guide covers all speech modalities, custom model training, batch transcription, pricing, security, and a comparison with Amazon Transcribe and Amazon Polly.
Azure Bot Service enables building intelligent chatbots and voice agents with Microsoft Copilot Studio, the Agents SDK, and multichannel deployment to Teams, web, Slack, and telephony. This guide covers the Bot Framework architecture, Copilot Studio no-code builder, generative AI orchestration, Direct Line API, pricing, security, and a comparison with Amazon Lex.
Azure AI Language provides NLP and text analytics capabilities including sentiment analysis, named entity recognition, PII detection, text summarization, and conversational language understanding across 100+ languages. This guide covers all pre-configured features, custom model training, orchestration workflows, pricing, security, and a comparison with Amazon Comprehend.
