PostgreSQL Global Development Group & Valkey are the most admired database technologies in Stack Overflow's 2025 Developer Survey! 🥇🥈https://go.aws/4fehhAE 🎉Congratulations to the open source communities behind them!
AWS Databases & Analytics
IT Services and IT Consulting
Seattle, Washington 265,966 followers
Put your data to work on the most scalable, trusted, and secure cloud.
About us
At AWS, we believe the next wave of reinvention will be driven by data. The ideal data strategy isn’t one size fits all. It’s adapted for your needs. It gives you the best of both data lakes and purpose-built data stores. It lets you store any amount of data you need at a low cost, and in open, standards-based data formats. It isn’t restricted by data silos, and lets you empower people to run analytics or machine learning using their preferred tool or technique. And, it lets you securely manage who has access to the data. Choose from 15 databases, 12 analytics, and 30 machine learning services – more than you’ll find anywhere else - to help you get insights from your data.
- Website
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https://aws.amazon.com/products/databases/
External link for AWS Databases & Analytics
- Industry
- IT Services and IT Consulting
- Company size
- 10,001+ employees
- Headquarters
- Seattle, Washington
Updates
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Peak capacity costs keeping you up? 📊💰⚖️ https://go.aws/45sCdk5 Amazon DocumentDB Serverless automatically scales capacity to meet your application’s exact demands. Ditch the over-provisioning & save up to 90% by paying only when you use. #Serverless. #AWS
Amazon DocumentDB Serverless
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🚀 Amazon SageMaker Catalog, part of the next generation of Amazon SageMaker, launched three new capabilities! Read the blog. 👉 https://go.aws/3H9S1yT We're making it easier to go from raw data to real insights - faster & more securely. Whether you are a data engineer, scientist, or business user, these capabilities help streamline access to the right data without compromising governance. 1️⃣ Amazon SageMaker Catalog now supports Amazon S3 general purpose buckets, simplifying discovery, access, & consumption of structured & unstructured data in S3. 2️⃣ Automatic onboarding of existing AWS Glue Data Catalog (GDC) datasets from the lakehouse architecture into #SageMaker Catalog. 3️⃣ SageMaker now integrates with Amazon QuickSight, enabling you to launch QuickSight directly from SageMaker Unified Studio to build dashboards using your project data, then publish them to the SageMaker Catalog for broader discovery & sharing across your organization. Check out the AWS News Blog for more details. #AWSSummit #DataGovernance
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⚡ Want to supercharge your database search capabilities without complex custom code? 👉 https://go.aws/4m7x7zi Big news! Amazon OpenSearch Service now allows seamless data ingestion from Amazon RDS & Amazon Aurora for MySQL & PostgreSQL databases. Key benefits: 🚀 Data sync within seconds 💡 Advanced search capabilities including full-text, hybrid, & vector search on relational database data 🔄 Auto-mapping with #OpenSearch Ingestion ⚡ No custom ETL code needed Transform your database operations with: ⏱️ Multi-table synchronization 📊 Unified insights across applications 🔎 Enhanced search performance #AmazonAurora #AmazonRDS
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🚀 The new Amazon S3 Vectors integration with Amazon OpenSearch Service is getting incredible customer feedback! Read the blog. 👉 https://go.aws/4m6RUDe Customers finally have a scalable, reliable, & trusted tiered strategy for AI-driven search—including seamless movement of data between S3 & OpenSearch—to balance cost and performance as their workloads evolve. Customers have the flexibility to use: 🗲 OpenSearch for ultra-fast, real-time vector retrieval, perfect for latency-sensitive workloads requiring high throughput like recommendation engines, AI-driven chat experiences, & agentic AI applications 🗲 S3 Vectors for low-cost storage & sub-second performance, ideal for latency-tolerant & large-scale analytics, historical search, or periodic data exploration #OpenSearch #AmazonS3 #generativeAI
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💡 Transform your database performance with Amazon ElastiCache! Register for our hands-on workshop. 👉 https://lnkd.in/ejzB8yUp Join our 3.5-hour technical session featuring: 🗸 Migration to Amazon ElastiCache for Valkey 🗸 Valkey & Amazon MemoryDB implementation 🗸 #generativeAI integration strategies Includes live demos & interactive sessions with AWS experts! #ElastiCache #CloudComputing
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👩🏻💻 Learn about the future of data governance with the next generation of Amazon SageMaker! Register now. 👉 https://go.aws/4nVHkkc Data governance is becoming increasingly critical as organizations build #generativeAI & ML applications responsibly at scale. This session dives into: ✅ How #SageMaker is evolving to address data governance challenges ✅ Best practices for managing data access, lineage, & compliance ✅ Real-world architectural insights to govern your ML workflows efficiently
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📊 Can your fraud detection system connect the dots like a pro? Ours literally does—with GraphRAG on Amazon Bedrock: https://go.aws/3IAIVfe 🕵️♂️🧠 Read how we're making fraudsters work overtime to stay hidden. Because catching fraud should be a graph game, not a guessing game.
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🏈 Exciting to see how Hudl leverages AWS to process & deliver game footage to 6M+ users across 40+ sports! Read on. 👉 https://go.aws/3IyyJDI With a zero-downtime migration to Amazon DocumentDB, Hudl achieved: ⚡37% cost savings ⚡Enhanced scalability during peak sports seasons ⚡Improved reliability for coaches & athletes worldwide “This shift allows us to focus on innovating tools that help our users succeed, while AWS handles the reliability & scalability of the infrastructure we rely on.”
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Built for vectors. Tuned for AI. 🤖💾 Meet Amazon S3 Vectors (preview) featuring Amazon OpenSearch Service for optimized search. ➡️ https://go.aws/4kB8km1 Amazon S3 Vectors speaks the language of AI with built-in vector support. S3 Vectors natively integrates with Amazon Bedrock Knowledge Bases for efficient RAG & Amazon OpenSearch Service for optimized search—so your AI stays fast, scalable, & smart. #AWS #AWSSummit #OpenSearch
Smarter AI starts with better memory. 💾💰⚡️ https://go.aws/46dmiHs Now in preview: Amazon S3 Vectors delivers low-cost storage to store and search large vector datasets, supporting efficient scaling for AI agents, inference, and semantic search of your S3 content. Reduce costs up to 90% with no infrastructure to manage—just scalable, cost-optimized vector storage in S3. #AWS #AWSSummit
AWS - Amazon S3 Vector Buckets