📢 Calling AI developers: Learn about performance improvements to vector search with #AmazonAurora support for pgvector 0.7.0! 👉 https://go.aws/3Bw7yXg For AI builders, this means lower costs & improved performance when using vector search for large-scale applications, with: ✴️ Up to 67x faster load times for vector embeddings with binary quantization ✴️ 50% reduction in memory & storage costs ✴️ Enhanced semantic search & RAG performance Ready to supercharge ⚡ your vector database? Try #pgvector 0.7.0 with Aurora today! #VectorSearch
AWS Databases & Analytics
IT Services and IT Consulting
Seattle, Washington 266,093 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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⚡ Boost #generativeAI app development by configuring #AmazonAurora as a Knowledge Base for #AmazonBedrock with just one click! 👉 https://go.aws/3VOMH8m This step-by-step guide describes how to set up Amazon Aurora Serverless v2 as a vector store in Amazon Bedrock Knowledge Bases & build RAG workflows with: ☑️ Simple setup & scaling ☑️ Enhanced security & cost control ☑️ Quick create option & CloudFormation templates
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▶️ Watch Werner Vogels discuss how we designed #AmazonAurora DSQL for simplexity. 👉 https://go.aws/4fuzLvt Simplexity [ sim-plek-si-tee ] noun: the state of managing complexity in distributed systems, simply. 📈 Aurora DSQL scales to virtually no limit to meet any workload demand, even with increasing complexity over time. Its #Serverless distributed architecture operates independently to give you very fine-grained control over your systems to evolve with your needs & zero operational burden. #AWSreInvent
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🥳 Amazon Redshift made incredible strides in 2024, reinventing data warehousing & SQL analytics. 👉 https://go.aws/3OZTyYT 💰 Industry-leading price-performance: Up to 3x better than alternatives, with 7x better throughput per dollar for dashboarding applications. 🗃️ Seamless Lakehouse architectures: Unify your data across S3 data lakes & Redshift data warehouses with Amazon SageMaker Lakehouse. ⚡ Zero-ETL integrations: Now supporting 8 enterprise applications including Salesforce, SAP & more. 🤖 Generative AI capabilities: Amazon Q generative SQL & integration with Amazon Bedrock bring AI-powered insights to your fingertips. Are you leveraging these powerful features in your data strategy? It's time to explore how #AmazonRedshift can transform your analytics capabilities & drive business value. #CloudDataWarehouse #generativeAI
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🚀 Did you know that Amazon Bedrock Knowledge Bases now supports GraphRAG (in Preview). 👉 https://go.aws/4gpY9j1 At AWS re:Invent 2024, Swami Sivasubramanian shared how: 🔷 This capability helps improve accuracy, comprehensiveness & explainability of AI responses. Under the hood, it uses Amazon Neptune to construct knowledge graphs for retrieval during the RAG process. 🔷 Amazon Neptune also offers a 1-click integration with Amazon Bedrock, making it easier than ever to add #generativeAI to your applications. Watch Swami's announcement to learn more about GraphRAG capabilities in Amazon Neptune! #AmazonNeptune #AWSreInvent
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New Amazon #DynamoDB & Amazon Keyspaces pricing reductions. 💲✂️ Price cuts are how AWS passes on economic efficiencies gained from our scale & innovation back to customers. Read the blog here 👉 https://go.aws/4gmfGbS Some key highlights: - DynamoDB on-demand pricing reduced by 50% - DynamoDB global tables write pricing reduced by up to 67% - Keyspaces on-demand pricing reduced by up to 65% ...& additional reductions. #NoSQL has never been so affordable
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Wonder what makes Andy Jassy so excited about #AmazonAurora DSQL? Watch 👉 https://go.aws/3DteMLX Aurora DSQL is the fastest serverless distributed SQL database for always available apps, offering: ✅ Highest availability (99.99% single-, 99.999% multi-Region) ✅ Strong consistency with the lowest latency compared to other distributed SQL alternatives ✅ Zero operational burden ✅ PostgreSQL compatible #Serverless #AWS #Databases
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It was delightful to hear the art of the possible from Sanjay Nair of United Airlines ✈️, Dr. Céline Laurent-Winter of BMW 🚘 & Eric Peters of NFL 🏈. Our customers' stories inspire & drive our innovation! 💡 ICYMI - You can learn about the exciting experiences they build with #AWSDatabases & about groundbreaking innovation from Ganapathy (G2) Krishnamoorthy, including new multi-Region solutions like #AmazonAurora DSQL, #AmazonDynamoDB global tables with multi-Region strong consistency, and Amazon #MemoryDB Multi-Region! Catch up on all the exciting news here 👉 https://go.aws/4iDnyHB
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🚀 Catch up on all the #AWSDatabases launches at #AWSreInvent this week on the AWS What’s New feed. 👉 https://go.aws/49oRbIs Here are some of our favorites: Amazon Aurora DSQL (Preview), a newly launched serverless, distributed SQL database offering unparalleled scalability & 99.999% multi-Region availability. PostgreSQL compatible for easy adoption! ◾ Web page: https://go.aws/41pTPLQ ◾ Blog: https://go.aws/4imuDfC Amazon DynamoDB global tables: Now with multi-Region strong consistency. Build resilient, global applications with zero RPO. Perfect for user profiles, inventory tracking & financial transactions. ◾ What’s new post: https://go.aws/4gdVJ6y Amazon DynamoDB zero-ETL integration with Amazon SageMaker Lakehouse: Run analytics & ML workloads in just a few clicks without consuming your DynamoDB table capacity. ◾ Blog: https://go.aws/41hoTgV 👨💻 Also learn about the new Amazon Bedrock Knowledge Bases support for GraphRAG with Amazon Neptune. Look for this session coming soon on demand: https://go.aws/3ZnWuTJ #AWSLaunches
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The next generation of Amazon SageMaker has arrived — your center for all of your data, analytics & AI! At its core is the newly announced Amazon S3 Tables, a new S3 bucket type optimized for storing tabular data with built-in support for Apache Iceberg. To give you a sense of how S3 Tables are a game changer for analytics, take a look at its seamless integration with Amazon Q in Amazon QuickSight, enabling you to visualize Apache Parquet data in S3 effortlessly using natural language. Learn more about S3 Tables: 👉 https://go.aws/3ZEzWj3 #AmazonS3 #ApacheIceberg #AmazonQ