🔎 Discover how the new Amazon Aurora Global Database writer endpoint simplifies failover management and enhances your global 🌐 database architecture. 👉 https://go.aws/42LeJ8Y Aurora Global Database writer endpoint automatically updates to point to the current writer instance in a global cluster after cross-Region switchover or failover operations, removing the need for manual application changes, providing the following benefits: ✅ Streamlines application architecture ✅ Improves operational efficiency ✅ Enhances disaster recovery capabilities ✅ Supports both MySQL-and PostgreSQL-compatible databases #DisasterRecovery #Databases #AmazonAurora
AWS Databases & Analytics
IT Services and IT Consulting
Seattle, Washington 265,945 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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⚡ #AmazonAurora DSQL is a new #serverless database with the fastest distributed SQL reads and writes. 👉 https://go.aws/42RyhZD Read this blog on how Aurora DSQL leverages optimistic concurrency control (OCC) to minimize cross-Region latencies and explore transaction patterns, best practices, and solutions.
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🚀 Amazon DocumentDB (with MongoDB compatibility) introduces NVMe-backed R6gd Instances. 💡 Learn how to get started: https://go.aws/3WHaac8 These instances offer up to 7x faster query performance for applications with large datasets exceeding regular instance memory. These NVMe-backed instances are ideally suited for read-heavy workloads. Examples: 🌏 Internet-scale applications with strict query performance requirements 📊 Real-time analytics with hundreds of concurrent queries 🧠 Retrieval Augmented Generation (RAG) applications needing exact or approximate nearest neighbor vector search #Databases #AmazonDocumentDB
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📢 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
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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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