AWS Database Blog

Amazon DocumentDB (with MongoDB compatibility) is a scalable, highly durable, and fully managed database service for operating mission-critical MongoDB-compatible JSON based workloads. On 02/MAR/2023, Amazon DocumentDB launched support for Client-Side Field Level Encryption (CSFLE), MongoDB 5.0 API compatibility, new aggregation operators, and other enhancements. In this post, we summarize what’s new in Amazon DocumentDB and […]

Babelfish for Aurora PostgreSQL is a capability for Amazon Aurora PostgreSQL-Compatible Edition that adds an endpoint to PostgreSQL that understands the SQL Server wire protocol Tabular Data Stream (TDS), as well as commonly used T-SQL statements from client applications written for Microsoft SQL Server. Migrating from legacy SQL Server databases can be time-consuming and resource-intensive. […]

Avalanche is an EVM-compatible, layer-1 blockchain network. The protocol is built upon a novel consensus mechanism, paired with subnets with their own virtual machines. Subnets enable the creation of custom, app-specific blockchains for different use cases and allow the Avalanche network to scale infinitely. At its core, a blockchain is a set of replicated state […]

Authorized Amazon DynamoDB users can perform actions against tables using the AWS Management Console, API, AWS CLI/SDK, or AWS CloudFormation. One of many possible operations that authorized users can perform is deleting a table. During the course of regular table management operations, authorized users might accidentally delete a table. Accidental deletion of a table can […]

Amazon Neptune version 1.2.1.0 now supports the Apache TinkerPop 3.6.x release line, which offers a number of major new features and improvements to existing functionality. New features include fresh additions to the Gremlin language itself, like the P.regex predicate for filters and the mergeV() and mergeE() steps, which should help simplify complex upsert-like functionality. In this […]

Migrating certain workloads (application and database) to new cloud platforms can be technically challenging. AWS launched Amazon Database Migration Accelerator (Amazon DMA) to accelerate and simplify your journey to AWS databases and analytics services. Amazon DMA has assisted thousands of customers globally to migrate their workloads. In this post, we share Amazon DMA’s approach and […]

Collecting database performance metrics is critical for troubleshooting any performance issues. AWS offers several services to gather and analyze database performance metrics, including Amazon Relational Database Service (Amazon RDS) Enhanced Monitoring, Amazon CloudWatch, and Amazon RDS Performance Insights. While these services provide detailed insights on how your database is performing, sometimes you need a different […]

In this post, you learn about Aurora Serverless v2 databases and factors to consider when replacing provisioned instances with Aurora Serverless v2 instances. Amazon Aurora Serverless allows you to use Amazon Aurora MySQL-Compatible Edition and Amazon Aurora PostgreSQL-Compatible Edition without worrying about the management of the compute for your application database. Many organizations today are […]

In a multi-tenant environment, the process of identifying the database isolation strategy most suitable for your workload is essential. Your isolation strategy ensures that one tenant cannot access another tenant’s data, and defines how the actions of tenants affect one another. The isolation strategy is driven by a combination of business, domain, security, cost, resiliency, […]

This post is co-written with Sanjna Srivatsa, Data Scientist at VMware. Amazon DynamoDB provides discounts ranging from 50 percent to 77 percent to customers who commit to paying for a minimum usage level, called reserved capacity. In this post, you learn how to use historical DynamoDB usage data to make your first DynamoDB reserved capacity […]