☎️ Your DB called. It wants smarter agents. Tune in to the podcast! 👉 https://go.aws/4mHILRm From RAG to relational, in this episode of the AI Engineering Podcast, AWS VP & Distinguished Engineer Marc Brooker explains: 🔄 How agentic workflows are reshaping database design 💪 How #AmazonAurora & #AuroraDSQL are powering serverless, elastic, spiky workloads 🤖 Agent-driven SQL fuzzing & plan analysis If your #Database isn’t ready for agents…it’s about to be schooled.
AWS Databases & Analytics
IT Services and IT Consulting
Seattle, Washington 266,129 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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👋 Need a reliable MongoDB to Amazon DocumentDB migration path? Check out our new migration guide. 👉 https://go.aws/3W4A5tl Our comprehensive guide helps you migrate to #AmazonDocumentDB using AWS Database Migration Service (#AWSDMS) with: 🔹 Quick Start configuration 🔹 Step-by-step runbook 🔹 Best practices & validation steps Designed for DBAs & cloud teams looking for a smooth #CloudMigration journey.
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🔮 Supercharge your AI/ML development by connecting VS Code to Amazon SageMaker Unified Studio! 👉 https://go.aws/4mpHI8K Connect your local Visual Studio Code editor directly to Amazon #SageMaker Unified Studio & optimize your data & AI development workflows without disrupting your established development practices. 🚀 Seamless integration 🔄 Scalable infrastructure 💻 Familiar environment #AWSforData #MachineLearning
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Learn how Alloy rapidly scaled its infrastructure using Amazon Aurora Serverless.👉 https://go.aws/47FI8UH 🗨️ "Amazon Aurora Serverless is a dominant solution in its class for maximizing throughput while minimizing the engineering hours we need to maintain it." - David Blackman, Staff Engineer, Alloy With #AmazonAurora #Serverless, Alloy achieved: ✔️ 10x increase in overall transaction throughput ✔️ 3,200 events per second per customer ingested ✔️ 1,200 near real-time decisions per second computed ✔️ 600 entities per second onboarded Read the case study for the full story! #AWSforData
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🩺 Read this case study to learn how Bamboo Health powers near-instant patient insights with Amazon Aurora. 👉 https://go.aws/3VkK6Cz 🗨️ "We don’t have to worry about scaling or replicating databases; we just know it works. That is how Aurora supports Bamboo." - Owen Marshall, Director of Product Platform, Bamboo Health With #AmazonAurora, Bamboo Health benefits include: ✔️ 3,300 transactions per second ✔️ 5 million patient transactions a day across 52 states and territories ✔️ 6 months of development time saved using zero-ETL integration #AWSforData #AWSDatabases
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👋 Are you passionate about data foundations for generative & agentic AI? Apply now to join our marketing team: ▪️ Sr. Technical Product Marketing Manager, AWS Data Portfolio Product Marketing 👉 https://go.aws/48k0ryU ▪️ Senior Product Marketing Manager, AWS Data Portfolio Product Marketing 👉 https://go.aws/46FCocv ▪️ Senior Product Marketing Manager, Amazon S3, AWS Storage 👉 https://go.aws/41VuadC ▪️ Senior Product Marketing Manager, Amazon EBS, AWS Storage 👉 https://go.aws/46FFopk ▪️ Sr. Product Marketing Manager, Analytics, AWS Marketing 👉 https://go.aws/46HkvKo #AWSforData #generativeAI
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🚀 New in Amazon SageMaker! Restricted classification terms in the #AmazonSageMaker Catalog! Read the full blog now. 👉 https://go.aws/4gm7PvA Data governance just got easier. With restricted classification terms, you can allow only authorized users to apply sensitive labels, like policy or regulatory tags, while still being visible for everyone to search & filter. Why this matters: 🔐 Stronger governance control 🏷️ Consistent classifications at scale 🤖 Automated policy enforcement downstream Amazon’s own teams are already using this to scale data onboarding & keep compliance airtight across business units. If you’re in healthcare, finance, or any regulated industry, this feature can save time & reduce risk. #AWS #AmazonSageMaker #DataGovernance
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👩🏽💻 Missed the Amazon Aurora 10-year anniversary livestream event? Watch on-demand here. 👉 https://go.aws/3K0IwmL Catch all the highlights from the event: 📈 Explore the evolution of Aurora over the past decade 👷🏽 Hear insider stories from the Aurora founding team ▶️ Watch live demos of the latest Aurora features #AWS #AmazonAurora #CloudComputing
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🚀 Introducing improved AI assistance for #MachineLearning in Amazon SageMaker Unified Studio! 👉 https://go.aws/3Ic7tLz Streamline your development workflows with intelligent assistance via natural language interactions. Key features include: 💬 Agentic chat in IDE with read/write operations ⚙️ Amazon Q Developer CLI 🎯 Model Context Protocol integration for improved response accuracy #Analytics #AmazonSageMaker
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💡 Transforming data architecture for innovation: Rippling + AWS! Read the case study now. 👉 https://go.aws/3HIbaIQ Rippling, the workforce management platform that brings together HR, IT & Finance into one seamless system, recently embarked on a bold data transformation with #AWS. Rippling’s rapid growth demanded a unified, scalable data backbone. Rippling modernized their data architecture for innovation using #AmazonDocumentDB (with MongoDB compatibility), #AmazonAurora PostgreSQL, Amazon #OpenSearch Service & AWS Lambda. The transformation resulted in: ☑️ 100+ NoSQL document database clusters successfully migrated ☑️ Near zero-downtime migration—delivering a seamless experience for their users ☑️ Two new products launched, empowering customers to build no‑code, low‑code & custom business applications on Rippling ☑️ Hundreds of new business applications supported across the platform 👏 Kudos to Rippling for their bold vision & relentless focus on customer experience! Shown in photo left to right: Michael L., Sergey Passichenko, Daniel Geng, Silas M., Sahin Olut, Tim Kocik Not shown in photo: Benjamin Yolken
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