AWS Big Data Blog

AWS and DuckLabs: Building the future of analytics together

Today we are announcing that Amazon has signed a definitive agreement to acquire DuckLabs, the Amsterdam-based company behind the open-source analytical database DuckDB. We expect the transaction to close shortly, subject to customary closing conditions. Hannes Mühleisen and Mark Raasveldt, who created DuckDB and co-founded DuckLabs, will continue leading the team and the open-source project’s technical direction as part of AWS. The DuckDB open-source project will also continue to be driven by the DuckLabs team, remain open source under the independent Foundation (the non-profit that oversees DuckDB), and available under the MIT license as it does today.

Scale down Kinesis Data Streams on-demand capacity with ODA warm throughput

Scale down Kinesis Data Streams on-demand capacity with ODA warm throughput

Amazon Kinesis Data Streams now supports scaling down ingest capacity for on-demand Advantage streams with warm throughput. Learn how the scale-down works, how to monitor stream behavior with Amazon CloudWatch, and best practices for releasing excess capacity after transient traffic bursts.

How to migrate from Amazon CloudSearch to Amazon OpenSearch Serverless

How to migrate from Amazon CloudSearch to Amazon OpenSearch Serverless

Learn how to migrate an Amazon CloudSearch domain to Amazon OpenSearch Serverless: assess your configuration, create a collection with explicit index mappings, convert your documents and queries to the OpenSearch query DSL, configure security, load data with Amazon OpenSearch Ingestion, and validate before cutover.

Accelerating Spark queries with Iceberg materialized views

Accelerating Spark queries with Iceberg materialized views

Accelerate slow, repetitive Apache Spark analytical queries on Apache Iceberg tables without rewriting any SQL. This post shows how automatic query rewrite in Amazon EMR and AWS Glue uses Iceberg materialized views in the AWS Glue Data Catalog to transparently substitute matching query plans, and how to design materialized views for the best speedup.

AWS recognized as a Leader in the 2026 Gartner Magic Quadrant for Strategic Cloud Platform Services for the 16th consecutive year

AWS recognized as a Leader in the 2026 Gartner Magic Quadrant for Strategic Cloud Platform Services for the 16th consecutive year

On September 1, Gartner published its Magic Quadrant for Strategic Cloud Platform Services (SCPS). Amazon Web Services (AWS) is the longest-running Leader in this Magic Quadrant, with Gartner naming AWS a Leader for the sixteenth consecutive year.

In the report, Gartner once again placed AWS highest on the Ability to Execute axis. We believe this reflects our commitment to help customers innovate faster, operate more securely, and build at any scale, particularly as agentic AI drives the need for a data foundation that is production-ready.

From silos to insights: Federated data access patterns for AI agents

From silos to insights: Federated data access patterns for AI agents

AI agents can reach enterprise data where it lives instead of routing every question through data engineers. This post presents three reference patterns for federated data access using Model Context Protocol (MCP) servers and Amazon Bedrock AgentCore: catalog-first, direct source, and hybrid access.

Network connectivity patterns for the next generation of Amazon OpenSearch Serverless

Network connectivity patterns for the next generation of Amazon OpenSearch Serverless

The next generation of Amazon OpenSearch Serverless uses standard AWS PrivateLink endpoints on the on.aws domain. This post shows nine connectivity patterns for private access, from a single VPC to multiple VPCs, cross-account, on-premises, and cross-Region, with the DNS resolution and data path for each.