Author: wpadmin

Components 1. Leader Node 2. Compute Nodes 3. Node Slices 4. Cluster 5. Network Layer Data Distribution and Processing Data Distribution: Data is distributed across compute nodes and slices based on the distribution style: Massively Parallel Processing (MPP): Queries are split into smaller tasks and distributed to compute nodes. Each node processes its portion of…

DynamoDB DAX vs Global Tables Feature DynamoDB DAX DynamoDB Global Tables Purpose In-memory caching for low-latency reads Multi-region replication for low-latency access globally Performance Focus Speeds up read-heavy workloads Ensures low-latency access across regions Latency Microseconds for cached reads Milliseconds (based on network latency and consistency) Data Replication No replication (caches only in-memory near application)…

Amazon QLDB is a fully managed, serverless ledger database service offered by AWS. It provides a transparent, immutable, and cryptographically verifiable transaction log. QLDB is designed for use cases where there is a need to maintain a reliable and trusted record of all changes to data over time, such as in financial transactions, supply chains,…

Amazon Neptune is a fully managed graph database service by AWS designed to work with highly connected datasets. It supports graph models such as property graphs and RDF (Resource Description Framework), making it ideal for use cases that require complex, highly interrelated data, such as social networks, recommendation engines, fraud detection, and knowledge graphs. Supports…

Amazon Timestream is a fully managed, serverless, and purpose-built time series database service offered by AWS. It is designed to handle trillions of time-stamped data points per day with minimal operational overhead. Time series databases are particularly well-suited for workloads such as IoT data, application monitoring, DevOps, and industrial telemetry, where data arrives in a…

DynamoDB Global Tables enable you to replicate your DynamoDB tables across multiple AWS regions, providing low-latency access to data for users located around the world and offering built-in disaster recovery. With multi-region, multi-active replication, DynamoDB Global Tables allow applications in multiple regions to read and write to the same table, ensuring consistency and availability. Multi-Region…

Amazon DynamoDB Accelerator (DAX) is a fully managed, in-memory caching service designed to accelerate read performance for Amazon DynamoDB applications. It provides fast in-memory performance for read-heavy and bursty workloads, reducing the latency of DynamoDB operations from milliseconds to microseconds. DAX acts as a cache layer for DynamoDB, enabling faster access to frequently-read data, offloading…

Amazon DynamoDB Streams is a feature of DynamoDB that captures changes to items in a DynamoDB table and makes these changes available to other AWS services or applications in real time. It provides a time-ordered sequence of item-level changes (insert, modify, delete) made to a DynamoDB table. DynamoDB Streams allows you to process data changes…

Amazon DynamoDB is a fully managed, serverless, NoSQL database service provided by AWS. It is designed to handle large-scale applications that require fast, consistent, and low-latency performance for both reads and writes. DynamoDB is suitable for a variety of use cases, including web apps, mobile applications, gaming, IoT, and more. DynamoDB is a key-value and…

Amazon DocumentDB is a fully managed, scalable, and highly available database service designed to be compatible with MongoDB. It is a NoSQL database service designed for storing and managing semi-structured data in a JSON-like format. DocumentDB is ideal for use cases that require flexible, schema-less data storage, such as content management systems, catalogs, mobile applications,…