Amazon DocumentDB Serverless now provides up to 35% higher throughput 0 views Skip to first unread message Eyal Estrin unread, 9:29 AM (14 minutes ago)    to https://aws.amazon.com/about-aws/whats-new/2026/11/documentdb-serverless-platform-version-4/ https://docs.aws.amazon.com/documentdb/latest/devguide/docdb-serverless-how-it-works.html#docdb-serverless-scaling-capacity https://docs.aws.amazon.com/documentdb/latest/devguide/docdb-serverless-managing.html#docdb-serverless-platform-version Eyal Estrin Author | Cloud Architect | AWS • Azure • GCP Insights Social: @eyalestrin Connect: https://linktr.ee/eyalestrin Blog: https://security-24-7.com Reply all Reply to author Forward

Amazon DocumentDB 8.0.3 adds post-quantum TLS, wildcard indexes, $unionWith aggregation, and enhanced change stream events for improved MongoDB compatibility.

Amazon DocumentDB Serverless launches platform version 4 with up to 35% higher throughput and improved scaling capabilities.

Amazon DocumentDB (with MongoDB compatibility) 8.0.3 adds hybrid post-quantum key exchange for TLS, wildcard indexes, the $unionWith aggregation stage, and new change stream events. Post-quantum TLS protects data in transit from traffic that is recorded today and decrypted later with a quantum computer. The new MongoDB APIs let you move more MongoDB workloads to Amazon DocumentDB without changing application code. What's new in 8.0.3: Post-quantum TLS: TLS 1.3 connections use hybrid key exchange based on the Module-Lattice-Based Key-Encapsulation Mechanism (ML-KEM) when the client supports it. Other clients keep using classical key exchange. Two new Amazon CloudWatch metrics, TLSHandshakesClassical and TLSHandshakesPostQuantum, count the handshakes of each type. Wildcard indexes: index every field, or every field under a path, to query documents with dynamic schemas. Aggregation: $unionWith combines results from multiple collections in one pipeline. $lookup and $graphLookup work in views, and correlated $lookup sub-pipelines accept $unionWith and $facet. Change streams: dropIndex() and dropIndexes() now emit dropIndexes events. Compression metrics: collStats and stats() report per-collection input bytes, output bytes, and compression ratio. Amazon DocumentDB 8.0.3 is available in all AWS Regions where Amazon DocumentDB is offered. To learn more, see the https://docs.aws.amazon.com/documentdb/latest/developerguide/.

Amazon DocumentDB (with MongoDB compatibility) 8.0.3 adds hybrid post-quantum key exchange for TLS, wildcard indexes, the $unionWith aggregation stage, and new change stream events. Post-quantum TLS protects data in transit from traffic that is recorded today and decrypted later with a quantum computer. The new MongoDB APIs let you move more MongoDB workloads to Amazon DocumentDB without changing application code. What's new in 8.0.3: * Post-quantum TLS: TLS 1.3 connections use hybrid key exchange based on the Module-Lattice-Based Key-Encapsulation Mechanism (ML-KEM) when the client supports it. Other clients keep using classical key exchange. Two new Amazon CloudWatch metrics, TLSHandshakesClassical and TLSHandshakesPostQuantum, count the handshakes of each type. * Wildcard indexes: index every field, or every field under a path, to query documents with dynamic schemas. * Aggregation: $unionWith combines results from multiple collections in one pipeline. $lookup and $graphLookup work in views, and correlated $lookup sub-pipelines accept $unionWith and $facet. * Change streams: dropIndex() and dropIndexes() now emit dropIndexes events. * Compression metrics: collStats and stats() report per-collection input bytes, output bytes, and compression ratio. Amazon DocumentDB 8.0.3 is available in all AWS Regions where Amazon DocumentDB is offered. To learn more, see the Amazon DocumentDB Developer Guide.

Amazon DocumentDB (with MongoDB compatibility) 8.0.3 adds hybrid post-quantum key exchange for TLS, wildcard indexes, the $unionWith aggregation stage, and new change stream events. Post-quantum TLS protects data in transit from traffic that is recorded today and decrypted later with a quantum computer. The new MongoDB APIs let you move more MongoDB workloads to Amazon DocumentDB without changing application code. What's new in 8.0.3: Post-quantum TLS: TLS 1.3 connections use hybrid key exchange based on the Module-Lattice-Based Key-Encapsulation Mechanism (ML-KEM) when the client supports it. Other clients keep using classical key exchange. Two new Amazon CloudWatch metrics, TLSHandshakesClassical and TLSHandshakesPostQuantum, count the handshakes of each type. Wildcard indexes: index every field, or every field under a path, to query documents with dynamic schemas. Aggregation: $unionWith combines results from multiple collections in one pipeline. $lookup and $graphLookup work in views, and correlated $lookup sub-pipelines accept $unionWith and $facet. Change streams: dropIndex() and dropIndexes() now emit dropIndexes events. Compression metrics: collStats and stats() report per-collection input bytes, output bytes, and compression ratio. Amazon DocumentDB 8.0.3 is available in all AWS Regions where Amazon DocumentDB is offered. To learn more, see the Amazon DocumentDB Developer Guide.

Hathr.AI migrated from Amazon DocumentDB to Amazon S3 Vectors for multi-tenant vector search in AWS GovCloud, achieving sub-100ms latency and 4x cost reduction for regulated healthcare and government workloads.

Amazon DocumentDB Serverless now provides up to 35% higher throughput with the launch of platform version 4. Platform versions represent improvements in performance, scaling capabilities, or features, and are automatically managed at the cluster level. All new serverless clusters launch on the latest platform version available in your AWS Region. You can upgrade existing clusters on platform version 3 to platform version 4 by applying the serverless-platform-version-update pending maintenance action. This gives you control over when to apply the update, either immediately or during your next scheduled maintenance window. After you upgrade to a newer platform version, you can't downgrade to a previous version.https://docs.aws.amazon.com/documentdb/latest/devguide/docdb-serverless-how-it-works.html#docdb-serverless-scaling-capacityhttps://docs.aws.amazon.com/documentdb/latest/devguide/docdb-serverless-how-it-works.html#docdb-serverless-scaling-capacity You can view the platform version of a cluster in the AWS Management Console or through the ServerlessV2PlatformVersion field of the DescribeDBClusters API. For more information, see https://docs.aws.amazon.com/documentdb/latest/devguide/docdb-serverless-how-it-works.html#docdb-serverless-scaling-capacity and https://docs.aws.amazon.com/documentdb/latest/devguide/docdb-serverless-managing.html#docdb-serverless-platform-version.

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Amazon DocumentDB Serverless now provides up to 35% higher throughput with the launch of platform version 4. Platform versions represent improvements in performance, scaling capabilities, or features, and are automatically managed at the cluster level. All new serverless clusters launch on the latest platform version available in your AWS Region. You can upgrade existing clusters on platform version 3 to platform version 4 by applying the serverless-platform-version-update pending maintenance action. This gives you control over when to apply the update, either immediately or during your next scheduled maintenance window. After you upgrade to a newer platform version, you can't downgrade to a previous version. You can view the platform version of a cluster in the AWS Management Console or through the ServerlessV2PlatformVersion field of the DescribeDBClusters API. For more information, see Amazon DocumentDB serverless scaling capacity and Checking and upgrading the platform version of a serverless cluster.

Amazon DocumentDB Serverless now provides up to 35% higher throughput with the launch of platform version 4. Platform versions represent improvements in performance, scaling capabilities, or features, and are automatically managed at the cluster level. All new serverless clusters launch on the latest platform version available in your AWS Region. You can upgrade existing clusters on platform version 3 to platform version 4 by applying the serverless-platform-version-update pending maintenance action. This gives you control over when to apply the update, either immediately or during your next scheduled maintenance window. After you upgrade to a newer platform version, you can't downgrade to a previous version. You can view the platform version of a cluster in the AWS Management Console or through the ServerlessV2PlatformVersion field of the DescribeDBClusters API. For more information, see Amazon DocumentDB serverless scaling capacity and Checking and upgrading the platform version of a serverless cluster.

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Amazon DocumentDB (with MongoDB compatibility) is now available in the Asia Pacific (Taipei) and Asia Pacific (New Zealand) Regions, adding to the https://aws.amazon.com/about-aws/global-infrastructure/regional-product-services/ where you can use Amazon DocumentDB. Amazon DocumentDB is a fully managed, native JSON database that makes it simple and cost-effective to operate critical document workloads at virtually any scale without managing infrastructure. Amazon DocumentDB is designed to give you the scalability and durability you need when operating mission-critical MongoDB workloads. Storage scales automatically up to 128 TiB without any impact to your application. In addition, Amazon DocumentDB natively integrates with Amazon CloudWatch, AWS CloudTrail, AWS Lambda, AWS Backup, and more. Amazon DocumentDB supports millions of requests per second and can be scaled out to 15 low-latency read replicas in minutes with no application downtime. To learn more about Amazon DocumentDB, please visit the https://aws.amazon.com/documentdb/ and https://aws.amazon.com/documentdb/pricing/. You can create an Amazon DocumentDB cluster from the https://aws.amazon.com/about-aws/whats-new/2026/02/amazon-documentdb-mongodb-compatibility-asia-pacific-melbourne-region/#:~:text=AWS%20Management%20console, https://aws.amazon.com/about-aws/whats-new/2026/02/amazon-documentdb-mongodb-compatibility-asia-pacific-melbourne-region/#:~:text=AWS%20Command%20Line%20Interface%20(CLI), or AWS SDKs.

Amazon DocumentDB (with MongoDB compatibility) is now available in the Asia Pacific (Taipei) and Asia Pacific (New Zealand) Regions, adding to the list of available Regions where you can use Amazon DocumentDB. Amazon DocumentDB is a fully managed, native JSON database that makes it simple and cost-effective to operate critical document workloads at virtually any scale without managing infrastructure. Amazon DocumentDB is designed to give you the scalability and durability you need when operating mission-critical MongoDB workloads. Storage scales automatically up to 128 TiB without any impact to your application. In addition, Amazon DocumentDB natively integrates with Amazon CloudWatch, AWS CloudTrail, AWS Lambda, AWS Backup, and more. Amazon DocumentDB supports millions of requests per second and can be scaled out to 15 low-latency read replicas in minutes with no application downtime. To learn more about Amazon DocumentDB, please visit the Amazon DocumentDB product page and pricing page. You can create an Amazon DocumentDB cluster from the AWS Management Console, AWS Command Line Interface (CLI), or AWS SDKs.

This patch release saw fixes is multiple areas done by multiple contributors, in the specific fixes in LIKE operator and remote spatial done by @mvanhorn, fixes in use of spatial index in function...

Hathr.AI runs a HIPAA-aligned, multi-tenant agentic RAG tool for regulated industries in AWS GovCloud (US). This post covers its architecture (a Step Functions ingestion pipeline, per-customer Amazon S3 Vectors indexes, and Strands Agents on ECS Fargate) and the results after moving vector search from Amazon DocumentDB to Amazon S3 Vectors.

Amazon DocumentDB (with MongoDB compatibility) is now available in the Asia Pacific (Taipei) and Asia Pacific (New Zealand) Regions, adding to the list of available Regions where you can use Amazon DocumentDB. Amazon DocumentDB is a fully managed, native JSON database that makes it simple and cost-effective to operate critical document workloads at virtually any scale without managing infrastructure. Amazon DocumentDB is designed to give you the scalability and durability you need when operating mission-critical MongoDB workloads. Storage scales automatically up to 128 TiB without any impact to your application. In addition, Amazon DocumentDB natively integrates with Amazon CloudWatch, AWS CloudTrail, AWS Lambda, AWS Backup, and more. Amazon DocumentDB supports millions of requests per second and can be scaled out to 15 low-latency read replicas in minutes with no application downtime. To learn more about Amazon DocumentDB, please visit the Amazon DocumentDB product page and pricing page. You can create an Amazon DocumentDB cluster from the AWS Management Console, AWS Command Line Interface (CLI), or AWS SDKs.

Amazon DocumentDB (with MongoDB compatibility) is now available in Asia Pacific (Taipei) and Asia Pacific (New Zealand) Regions.