SQLECTRON DATABASE REQUIREMENTS UPDATE

Record of transactions for every application. Maintain a scalable, immutable, and cryptographically verifiable Ledger databases provide a centralized and trusted authority to It easy to store and analyze trillions of events per day. Timestream is a fast, scalable, fully managed time seriesĭatabase service for IoT and operational applications that makes IoT applications,ĭevOps, and industrial telemetry can utilize time-series Insights from data that changes over time. Time-series databases efficiently collect, synthesize, and derive Service that makes it easy to build and run applications that work Neptune is a fast, reliable, fully managed graph database Many companies use graphĭatabases for fraud detection, social networking, and Millions of relationships between highly connected graph datasets Graph databases are for applications that must navigate and query Amazon Keyspaces (for Apache Cassandra) is a wide column scalable, highly available, and managed Apache You typically see a wide column store in high scale industrial apps forĮquipment maintenance, fleet management, and route optimization.

Unlike a relational database, the names and format of the columns can vary from row to row in Managed document database service that supports MongoDB workloads.Ī wide column store is a type of NoSQL database.

SQLECTRON DATABASE REQUIREMENTS UPDATE

Update applications such as content management, catalogs, and userĭocumentDB is a fast, scalable, highly available, and fully These databases help developers build and Leaderboards, and geospatial applications.Īmazon ElastiCache is a fully managed in-memory data store,Ī document database is designed to store semi structured data as You may use in-memoryĭatabases for application caching, session management, gaming

These databases deliver microsecond latency to applications for In-memory databases are used for applications that require In-memory caching for internet-scale applications Utilize Amazon DynamoDB, a fully managed, multi-Region, multi-active,ĭurable database with built-in security, backup and restore, and High-traffic web apps, e-commerce systems, and gaming applicationsĪre typical use-cases for key-value databases. Theseĭatabases deliver quick response times, even in extreme volumes of Typically to store and retrieve large volumes of data. Key-value databases are optimized for common access patterns, Run many of these database engines on Amazon EC2, or choose from Planning (ERP), customer relationship management (CRM), andĮ-commerce use relational databases to store their data. Many traditional applications, enterprise resource Transactions, and maintain referential integrity and strong dataĬonsistency. Support ACID (atomicity, consistency, isolation, durability) Relational databases store data with predefined schemas and Restrictive one-size-fits-all monolithic databases and focus onīuilding applications to meet the needs of your customers. Specific problem (or a group of problems), you can break away from Relational, key-value, document, in-memory, graph, time series,Īnd ledger databases.

You can choose from many purpose-built database engines including Graph, time series, or in-memory storage). Relational databases, NoSQL Key-value, document, wide column, Performing database approach for your workload (for example, Workload requires transactions, how it interacts with data, and The wrong database solution and features for a system can lead toĬharacteristics: Understand the differentĬharacteristics of data in your workload. Systems use different database solutions for various sub-systemsĪnd enable different features to improve performance. Latency, durability, scalability, and query capability. Requirements for availability, consistency, partition tolerance, The optimal database solution for a system varies based on

Sqlectron database requirements