Amazon Aurora PostgreSQL now supports direct queries of data stored in Apache Iceberg and Parquet formats within data lakes. This eliminates the need for ETL pipelines when combining transactional data with historical records.
Today, AWS announces the general availability of GPT-6.1 Sol from OpenAI on Amazon Bedrock. An upgrade to GPT-6 Sol, GPT-6.1 Sol delivers exceptionally strong performance on agentic coding, computer use, and professional work.
Amazon Aurora PostgreSQL-Compatible Edition now supports PostgreSQL versions 18.6, 17.11, 16.15, 15.19, and 14.24, which include bug fixes from the PostgreSQL community and Aurora-specific enhancements.
You can now use AWS Transform agentic migration assessments to evaluate the migration of on-premises Apache Kafka clusters to Amazon Managed Streaming for Apache Kafka (Amazon MSK) .
AWS now offers Claude Sonnet 5.5, a smarter and more efficient Sonnet that delivers a clear leap forward on coding and knowledge work with at a lower cost per task for most work at faster speed. Claude Sonnet 5.5 is a smarter, more efficient Sonnet and a step up from Sonnet 5, making it a natural upgrade for teams already building on Sonnet.
Amazon DocumentDB (with MongoDB compatibility) now supports retryable writes, 5 new aggregation stages, and change stream enhancements starting from minor version 8.0.2. This release expands MongoDB API compatibility and improves query performance, making it easier to migrate MongoDB workloads to Amazon DocumentDB without application code changes.
Amazon SageMaker Unified Studio now supports two new connection capabilities: (1) Iceberg REST Catalog (IRC) connections for external Apache Iceberg catalogs, and (2) IAM authentication for Amazon DocumentDB. Together, they let data teams connect to a broader set of governed data sources and use credential-less authentication across projects.
Amazon ElastiCache now supports resource tagging and tag-based access control (TBAC) for Global Datastore. Previously, ElastiCache supported tagging on all resources except Global Datastore, which prevented customers from applying a single, consistent permission and cost-allocation model across their ElastiCache fleet.
Amazon SageMaker HyperPod Inference Gateway is a Kubernetes-native, GPU-aware routing system that deploys as a single EKS managed add-on on existing SageMaker HyperPod infrastructure with zero application changes.
AWS announces Salesforce and Zendesk data source connectors for Amazon Bedrock Managed Knowledge Base, a fully managed retrieval-augmented generation (RAG) service. Customers can now sync Salesforce knowledge articles and Zendesk articles and community posts directly into their managed knowledge base.
Today, AWS announces the general availability of GPT-6 Sol and GPT-6 Luna from OpenAI on Amazon Bedrock. Expanding the GPT-6 family alongside Astra, these two models give teams more ways to balance intelligence, speed, and cost across every workload. Sol is the daily model for recurring complex tasks and software development.
Amazon EMR 7.14 is now available with new features across Amazon EMR on EC2, Amazon EMR on EKS, and Amazon EMR Serverless, along with version upgrades for additional applications. This release also upgrades Apache Spark to 3.5.8 and Apache Iceberg to 1.10.1.
AWS Glue Data Quality now generates data quality rules in seconds, reducing the time to establish data quality checks for your tables in the AWS Glue Data Catalog. You get a ready-to-use set of rules with full coverage across every column, with no manual setup, so you can move from raw data to trusted data faster while authoring pipelines.
Amazon Bedrock continues to expand its open weight model portfolio with the same security and governance that customers rely on. Today, Kimi K3 from Moonshot AI is generally available on Amazon Bedrock, giving you a powerful new option for coding and knowledge work.
Amazon Quick now expands Generate Analysis with two new ways to create dashboards faster. You can generate a single sheet inside an existing analysis by describing it in natural language, and you can generate a new analysis from an image of an existing dashboard.
Amazon SageMaker AI now supports serverless model customization for the NVIDIA Nemotron 3.5 Lightning model using supervised fine-tuning (SFT), Direct Preference Optimization (DPO), and reinforcement fine-tuning (RFT).
AWS Glue zero-ETL integrations for Salesforce now capture archived records in your target tables, giving you a complete replica of your Salesforce data for analytics and reporting. Archived records are identified and reflected accurately through the isArchived field, so your analytical data stays fully in sync with your Salesforce source.
Today, Amazon SageMaker AI announces instance preference lists for training and processing jobs, making it easier and faster to find compute capacity for your workloads. Many AI training, fine-tuning, and data processing workloads run comparably well on any of several instance types or sizes.
AWS CloudTrail, a service that records API activity across your AWS account for security auditing, compliance, and operational troubleshooting, now integrates with Amazon Q Console to help you investigate your AWS account activity using natural language.
AWS Glue zero-ETL integrations now detect table property conflicts and track integration ownership. When you configure a source table and target catalog, Glue associates the resulting table properties with the owning integration, so two integrations can no longer be pointed at the same target table without your knowledge.
Google DeepMind's Gemma-4-31B-it-assistant and NVIDIA's Gemma-4-31B-IT-NVFP4 models are now available on Amazon SageMaker JumpStart, expanding the portfolio of foundation models available to AWS customers.
AWS announces the availability of TwelveLabs Marengo 3.0 as an embedding model in Amazon Bedrock Managed Knowledge Base, enabling customers to create multimodal embeddings for video, audio, and image content.
Amazon SageMaker HyperPod now supports model caching, an inference optimization that pre-loads model weights and container images onto cluster nodes so pods start in seconds instead of minutes. When running LLM inference at scale for workloads like chat assistants, agentic pipelines, RAG, and document analysis, cold start is a real bottleneck.
You can now build full-stack search and AI applications in minutes using Amazon OpenSearch Serverless on v0 by Vercel, an AI-powered platform that transforms your ideas into production-ready web applications.
The Amazon Quick desktop app is now generally available on macOS and Windows. The desktop app brings the full power of Amazon Quick to your computer, working directly with your local files and staying connected to your calendar, email, and business apps in the background.
AWS announces the CheckIngestedDocumentAcl and GetIngestedDocumentAcl APIs for Amazon Bedrock Managed Knowledge Base, giving customers a self-service way to debug document access issues and audit document-level permissions.
Today, AWS announces the general availability of GPT-6 Astra from OpenAI on Amazon Bedrock. The latest and most capable model from OpenAI to date, GPT-6 Astra brings deeper reasoning and judgment, professional-quality writing and design, and advanced computer and browser use to demanding business workflows.
Amazon SageMaker Feature Store is a fully managed capability that makes it easy to compute, store, and retrieve features for training and deploying AI models. SageMaker Feature Store now supports feature-level writes, a new capability for updating individual features in a record.
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