Latest updates for Amazon Neptune Analytics

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Recent items include:

  • AWS Managed Database Observability: Monitoring DynamoDB, ElastiCache, and Redshift Beyond CloudWatch
  • Company-wise memory in Amazon Bedrock with Amazon Neptune and Mem0
  • Improving generative AI accuracy with vector and graph search hybrid queries

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Recent curated links from global sources. Generate one free draft from any story, then use SocialBu to schedule and refine your content calendar.

dzone.com /1 week 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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aws.amazon.com /1 month ago

Company-wise memory in Amazon Bedrock with Amazon Neptune and Mem0

Company-wise memory in Amazon Bedrock, powered by Amazon Neptune and Mem0, provides AI agents with persistent, company-specific context—enabling them to learn, adapt, and respond i...

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aws.amazon.com /1 week 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 week 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 /4 days 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 /1 month ago

Unleashing Agentic AI Analytics on Amazon SageMaker with Amazon Athena and Amazon Quick

This post demonstrates how agentic AI assistant from Amazon Quick transform data analytics into a self-service capability by using Amazon Simple Storage Service (Amazon S3) as a st...

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aws.amazon.com /3 weeks ago

Full-text, exact-match, range, and hybrid search on Amazon ElastiCache

New search capabilities are available in ElastiCache version 9.0 for Valkey. In this post, we walk through the new search capabilities, show how they work together, and build a sea...

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aws.amazon.com /3 weeks ago

From data lake to AI-ready analytics: Introducing new data source with S3 Tables in Amazon Quick

Amazon Quick introduces Amazon S3 Tables (Apache Iceberg tables) as a new data source. With this feature, customers can directly query and visualize Apache Iceberg tables stored in...

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aws.amazon.com /3 weeks ago

Announcing aggregations on Amazon ElastiCache

Amazon ElastiCache now supports aggregation queries, so you can filter, group, transform, and summarize data directly in your cache with a single query. This post walks through the...

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aws.amazon.com /1 month ago

Analyzing your data catalog: Query SageMaker Catalog metadata with SQL

In this post, we demonstrate how to use the metadata export capability in Amazon SageMaker Catalog and perform analytics such as historical changes, monitor asset growth and track...

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aws.amazon.com /2 weeks ago

Optimize Amazon S3 Tables queries with Amazon Redshift

This is the third post in our S3 Tables and Amazon Redshift series. The first post covered getting started with querying Apache Iceberg tables, and the second post walked through e...

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aws.amazon.com /1 month ago

How to build unified JSON search solutions in AWS

Using a movie streaming reference architecture, this post shows how to implement and sync operational, analytical, and search JSON workloads across AWS services. This pattern provi...

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aws.amazon.com /1 month ago

How to use Parquet Column Indexes with Amazon Athena

In this blog post, we use Athena and Amazon SageMaker Unified Studio to explore Parquet Column Indexes and demonstrate how they can improve Iceberg query performance. We explain wh...

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aws.amazon.com /3 weeks ago

Enable real-time mainframe analytics with Precisely Connect and Amazon S3

In this post, we discuss how you can use Precisely Connect to enable real-time, direct replication of mainframe data to Amazon Simple Storage Service (Amazon S3), and how your orga...

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aws.amazon.com /2 weeks ago

From siloed data to unified insights: Cross-account Athena Access for Amazon Quick

Today, we're announcing cross-account Athena access for Amazon Quick. With this feature, customers can query Athena data in other AWS accounts using AWS Identity and Access Managem...

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aws.amazon.com /2 weeks ago

Streamlined monitoring and debugging for Amazon EMR on EC2

In this post, we walk you through five key enhancements: Amazon CloudWatch Logs integration, step-level Amazon Simple Storage Service (Amazon S3) logging controls, expanded console...

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aws.amazon.com /2 weeks ago

Improve DynamoDB analytics with AWS Glue zero-ETL schema and partition controls

In this post, you learn how to replicate Amazon DynamoDB data to Apache Iceberg tables in Amazon S3 through a zero-ETL integration. We walk through the challenges that the DynamoDB...

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aws.amazon.com /3 weeks ago

Query billion-scale vectors with SQL: Integrating Amazon S3 Vectors and Aurora PostgreSQL

In this post, you’ll learn how to query Amazon S3 Vectors from Amazon Aurora PostgreSQL-Compatible Edition using standard SQL, and how to combine vector similarity results with rel...

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aws.amazon.com /3 weeks ago

Generate dashboards from natural language prompts in Amazon Quick

Building meaningful dashboards demands hours of manual setup, even for experienced BI professionals. Amazon Quick now generates complete multi-sheet dashboards from natural languag...

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aws.amazon.com /1 month ago

Modernize business intelligence workloads using Amazon Quick

In this post, we provide implementation guidance for building integrated analytics solutions that combine the generative BI features of Amazon Quick with Amazon Redshift and Amazon...

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aws.amazon.com /3 weeks ago

How Amazon DocumentDB on AWS Graviton4 R8g instances delivers 63% better Sysbench benchmark results

This post demonstrates how in our testing upgrading to Graviton4-based R8g instances on Amazon DocumentDB (with MongoDB compatibility) version 5.0 and 8.0 delivers up to 63% better...

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aws.amazon.com /1 week 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

Turbocharge your applications with Amazon DocumentDB 8.0

Amazon DocumentDB 8.0 brings in support for MongoDB 8.0 API driver compatibility while maintaining support for applications built using MongoDB API versions 6.0 and 7.0. This post...

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aws.amazon.com /1 week 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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Sources covering Amazon Neptune Analytics

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aws.amazon.com

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aws.amazon.com

Recent coverage from public sources
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