Social Media Ideas for Amazon Redshift

Latest updates for Amazon Redshift

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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 /3 weeks ago

Why tombola chose Graviton-powered RG instances for Amazon Redshift

In this post, you learn how tombola followed a strict engineering principle: no changes to production without evidence. That meant a head-to-head comparison of RA3 versus RG on the...

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theregister.com /1 month ago

AWS whips out Graviton-powered Redshift instances, claims 7x speed for data warehouse

AI agents asking questions in natural language apparently issue a lot more queries than your average SQL jockey

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aws.amazon.com /2 weeks ago

Scale analytics with Amazon Redshift multi-warehouse enhancements

In this post, we introduce new capabilities of Amazon Redshift that enhance our multi-warehouse and scaling capabilities: remote materialized view (MV) operations, remote table DDL...

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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 /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 /1 week ago

Amazon Redshift RG: Faster and lower cost, Graviton-powered

In this post, we describe the innovations that make RG instances so much faster. We also share benchmark results showing that RG delivers up to 4.2x better price-performance than o...

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aws.amazon.com /1 month ago

Real-time CDC from Aurora PostgreSQL to Amazon S3 Tables using Debezium and Firehose

In this post, we show you how to build a CDC pipeline that delivers query-ready Iceberg tables directly. The pipeline captures inserts, updates, and deletes from Aurora PostgreSQL...

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aws.amazon.com /4 weeks ago

Modernize Amazon Redshift: RA3 to RG Migration best practices

In this post, you learn how to migrate Amazon Redshift RA3 clusters to Graviton-based RG instances. We compare the Elastic Resize, Classic Resize, and Snapshot/Restore migration st...

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aws.amazon.com /1 month ago

Query Amazon Redshift using natural language with Kiro

In this post, you learn how to set up Kiro with the Amazon Redshift MCP server to query your data warehouse using natural language. You explore cluster discovery, schema browsing,...

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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 month ago

How Zynga scaled multi-warehouse data governance with Amazon Redshift federated permissions

In this post, we walk through how Zynga adopted Amazon Redshift federated permissions and AWS IAM Identity Center to enforce consistent, tiered data access across provisioned and s...

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aws.amazon.com /1 month ago

Migrating data from Oracle to Amazon Aurora DSQL

This post walks through migrating data from an Oracle source to Amazon Aurora DSQL, using AWS DMS, Amazon S3, AWS Glue, and AWS Step Functions to create an automated, cost-effectiv...

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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 /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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dzone.com /1 month ago

Stop Loading Everything into Redshift: A Spectrum + Iceberg Pattern for Hybrid Analytics

Not every dataset belongs fully inside the warehouse. A hybrid design using Apache Iceberg on S3, Redshift Spectrum, and Redshift local tables can reduce duplicated storage and res...

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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 /1 month ago

Unlock cost savings with incremental snapshot billing for Amazon Redshift Serverless and Amazon Redshift RG

Starting June 8, 2026, Amazon Redshift is introducing an incremental snapshot billing model for Amazon Redshift Serverless and Amazon Redshift RG (provisioned instances powered by...

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aws.amazon.com /3 weeks ago

Multi-Region identity-based access to Amazon Redshift and S3 Tables

In Part 1 of this series, we showed how to simplify enterprise data access using the Amazon Redshift integration with Amazon S3 Access Grants. In this post, we extend that solution...

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aws.amazon.com /1 week ago

Automate PostgreSQL audit log extraction and analysis with Amazon S3

In this post, we show you how to deploy an automated pipeline that extracts PostgreSQL audit logs from CloudWatch Logs, converts them into structured comma-separated values (CSV) f...

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aws.amazon.com /1 day ago

Patch perfect: Automating Amazon Redshift patch testing

In this post, we demonstrate an automated test suite that validates your Amazon Redshift cluster automatically after any patch, reboot, or modification. It uses standard drivers ag...

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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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dev.to /1 month ago

PostgreSQL change data capture governed Apache Iceberg / Parquet on AWS S3 вЂ” built for AI agents.

Core Features pg-cdc is not just replication. pg-cdc streams Postgres Write Ahead Logs(WAL) out of production Postgres into typed, immutable, time-travelable Iceberg tables on S3...

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aws.amazon.com /2 weeks ago

Running pgvector in production on Amazon Aurora PostgreSQL

Running pgvector on Amazon Aurora PostgreSQL gives you a production-grade vector store on a database you already know, backed by the operational tooling, high availability, and sca...

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