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aws.amazon.com /2 weeks ago

Building Financial Hierarchies with Amazon Neptune for Treasury Operations

In this post, we show how Amazon’s Finance Technology (FinTech) team uses Amazon Neptune to model complex corporate treasury structures as a property graph. These structures includ...

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dzone.com /1 month ago

AWS Managed Database Observability: Monitoring DynamoDB, ElastiCache, and Redshift Beyond CloudWatch

A DynamoDB throttle alarm fires at 2 am. You confirm the spike in CloudWatch, then check ElastiCache in a second dashboard, then Redshift in a third. Cache hit rate dropped, which...

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dev.to /1 month ago

Why I replaced DynamoDB with Aurora PostgreSQL Serverless v2 for an ad-ops monitoring workload

On February 14, 2026, Meta started enforcing health-data restrictions that broke pixel-based lower-funnel conversion tracking for DTC telehealth advertisers. No purchase events. No...

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aws.amazon.com /1 month ago

Improving generative AI accuracy with vector and graph search hybrid queries

In this post, we discuss the differences between vector search and graph search, how to combine the two for hybrid querying, and use cases that benefit from hybrid querying.

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aws.amazon.com /1 month ago

A systematic approach to benchmarking SQL processing engines on AWS

Selecting the right SQL processing solution for large-scale data analytics is a critical decision for organizations. As data volumes grow exponentially, the technology landscape ha...

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aws.amazon.com /1 week ago

Serverless analytics pipelines using the Apache Spark engine in Amazon Athena

This post shows how developers, data engineers, and analysts can connect to a secure Spark Connect endpoint in Athena with Apache Spark. You can use your preferred tools, such as J...

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aws.amazon.com /1 month ago

Build an enterprise observability solution for Amazon Quick

When hundreds to thousands of users are onboarded to an enterprise AI platform, business leaders and platform owners need visibility into who is using the platform, whether users a...

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aws.amazon.com /2 weeks ago

HippoRAG: Neurobiologically inspired RAG using Amazon Bedrock, Amazon Neptune, and personalized PageRank

In this post, we demonstrate how to implement HippoRAG using a comprehensive AWS stack. We use Amazon Bedrock for LLM capabilities, Amazon Neptune for graph database functionality,...

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aws.amazon.com /2 weeks ago

Cross-account and cross-Region monitoring for Amazon RDS and Aurora with Database Insights

This post shows you how to set up centralized cross-account and cross-Region monitoring for Amazon Relational Database Service (Amazon RDS) and Amazon Aurora databases using Amazon...

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aws.amazon.com /1 month ago

Amazon Quick integration with time-series databases for market intelligence using MCP

In this post, we walk through a practical implementation using KDB-X MCP server integration with Amazon Quick, demonstrating how traders and analysts can ask questions using conver...

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aws.amazon.com /2 weeks ago

Amazon Redshift delivers faster performance for BI dashboards and real-time analytics

Today, we’re excited to announce a new performance optimization in Amazon Redshift that improves the response times of low-latency SQL queries, such as those used in real-time anal...

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aws.amazon.com /4 weeks ago

Deep dive into Amazon Aurora PostgreSQL lock analysis with CloudWatch Database Insights

In this post, we show you how to use Amazon CloudWatch Database Insights for lock analysis in Amazon Aurora PostgreSQL. You learn how to enable the feature, interpret lock tree vis...

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aws.amazon.com /2 weeks ago

AI-powered performance recommendations for Amazon Redshift

In this post, you learn how to build an AI-powered solution that collects the telemetry, pre-computes performance signals, correlates them with CloudWatch, and uses Amazon Bedrock...

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aws.amazon.com /3 weeks ago

AI-powered BI with Snowflake and Amazon Quick

In this post, you will learn how to build an end-to-end integration between Snowflake semantic views and Amazon Quick. The sample data is user review data for a media company. You...

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aws.amazon.com /1 week ago

Accelerating log analytics at scale with AWS Glue and Apache Iceberg materialized views

In this post, you learn how to build an application log pipeline for production use with Amazon CloudWatch Logs, AWS Lambda, Amazon Data Firehose, AWS Glue, and Apache Iceberg mate...

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aws.amazon.com /2 weeks ago

Run log analytics for a fraction of the cost with the new engine for Amazon OpenSearch Service

We’re introducing a purpose-built log analytics engine for Amazon OpenSearch Service. This new engine delivers up to 4x price performance, 2x faster data ingestion, up to 2x faster...

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aws.amazon.com /2 weeks ago

Amazon RDS log analysis: natural language queries with Kiro and MCP

In this post, we demonstrate an approach to review RDS logs using Kiro, an AI-powered conversational assistant combined with the Model Context Protocol (MCP) server from awslabs.cl...

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aws.amazon.com /1 month ago

Meet Amazon Redshift RG – AWS Graviton-based instances with an integrated data lake query engine delivering up to 2.4x b...

On May 12, 2026, we announced the general availability of Amazon Redshift RG instances, powered by AWS Graviton processors. RG instances are up to 2.2x as fast for data warehouse w...

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aws.amazon.com /1 month ago

How Amazon is moving to integrate catalogs to improve data discovery with Amazon SageMaker

Enterprises face challenges when teams create data assets outside of central data catalogs. It adds overhead for discovery, and limits collaboration. Amazon’s Business Data Technol...

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aws.amazon.com /1 week ago

Streaming benchmark and recommendation results to MLflow with Amazon SageMaker AI

In this post, you learn how to use the new MLflow integration with Amazon SageMaker AI optimized inference recommendation jobs and Amazon SageMaker AI benchmark jobs to automatical...

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aws.amazon.com /2 weeks ago

Optimize your Tableau integration with Amazon Redshift Serverless

In this post, we provide a guide to help you use Tableau’s Relationships and Amazon Redshift Serverless architecture to deliver sub-second insights while maximizing every Redshift...

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aws.amazon.com /4 weeks ago

Improve query performance with EXPLAIN plans in Amazon Aurora DSQL

In this post, we show you how to use EXPLAIN plans to diagnose and improve query performance in Amazon Aurora DSQL. We introduce a three-layer filter model as a practical framework...

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aws.amazon.com /1 week ago

Dynata’s journey to lower TCO and faster modernization with AWS Database Savings Plans

In this post, we show how Dynata simplified database cost optimization and accelerated modernization to AWS Graviton processors by adopting Database Savings Plans. Rather than mana...

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cloud.google.com /20 hours ago

How to Analyze and Govern Gemini Enterprise App Usage at Scale with BigQuery

Deploying the Gemini Enterprise app across an organization marks a transformative leap forward in workforce productivity, providing employees with an amazing, high-performance suit...

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