Amazon DynamoDB vs Doctrine 2

Overview

Amazon DynamoDB

Stacks4.0K

Followers3.2K

Votes195

Doctrine 2

Stacks284

Followers207

Votes31

Amazon DynamoDB vs Doctrine 2: What are the differences?

# Introduction:
This comparison outlines key differences between Amazon DynamoDB and Doctrine 2 for website development purposes.

1. **Data Model**: Amazon DynamoDB is a NoSQL database that uses key-value pairs for data representation, while Doctrine 2 is an Object-Relational Mapping (ORM) that maps objects to relational database tables.
2. **Scalability**: DynamoDB offers seamless scalability with automatic partitioning and replication of data across multiple servers, providing high throughput and storage capabilities. In contrast, Doctrine 2's scalability relies on the underlying relational database management system and its configuration settings.
3. **Performance**: DynamoDB provides predictable and low-latency performance for read and write operations due to its distributed nature and optimized storage engine. On the other hand, Doctrine 2's performance can vary depending on the complexity of the queries and the efficiency of the underlying database design.
4. **Schema Design**: DynamoDB requires upfront schema design and optimization to leverage its full potential, including defining primary keys and secondary indexes. In contrast, Doctrine 2 abstracts the database schema through entity mapping and annotations, allowing for more flexibility in object-oriented design.
5. **Cost Structure**: DynamoDB charges based on provisioned throughput capacity, data storage, and additional features, making it suitable for applications with varying workloads. Doctrine 2 has no direct cost associated with its usage, as it is a library that integrates with existing relational databases, thereby inheriting their cost structures.
6. **Consistency Model**: DynamoDB offers users the choice between strong and eventual consistency for read operations, providing flexibility based on application requirements. Doctrine 2 follows the consistency model of the underlying relational database system, which may vary but typically provides strong consistency for transactions.

In Summary, the key differences between Amazon DynamoDB and Doctrine 2 lie in their data models, scalability, performance, schema design, cost structure, and consistency models.

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Advice on Amazon DynamoDB, Doctrine 2

Doru

Solution Architect

Jun 9, 2019

Reviewon

Amazon DynamoDB

I use Amazon DynamoDB because it integrates seamlessly with other AWS SaaS solutions and if cost is the primary concern early on, then this will be a better choice when compared to AWS RDS or any other solution that requires the creation of a HA cluster of IaaS components that will cost money just for being there, the costs not being influenced primarily by usage.

1.36k views1.36k

Comments

akash

Aug 27, 2020

Needs adviceon

Cloud Firestore

Firebase Realtime Database

Amazon DynamoDB

We are building a social media app, where users will post images, like their post, and make friends based on their interest. We are currently using Cloud Firestore and Firebase Realtime Database. We are looking for another database like Amazon DynamoDB; how much this decision can be efficient in terms of pricing and overhead?

199k views199k

Comments

Detailed Comparison

Amazon DynamoDB	Doctrine 2
With it , you can offload the administrative burden of operating and scaling a highly available distributed database cluster, while paying a low price for only what you use.	Doctrine 2 sits on top of a powerful database abstraction layer (DBAL). One of its key features is the option to write database queries in a proprietary object oriented SQL dialect called Doctrine Query Language (DQL), inspired by Hibernates HQL.
Automated Storage Scaling – There is no limit to the amount of data you can store in a DynamoDB table, and the service automatically allocates more storage, as you store more data using the DynamoDB write APIs;Provisioned Throughput – When creating a table, simply specify how much request capacity you require. DynamoDB allocates dedicated resources to your table to meet your performance requirements, and automatically partitions data over a sufficient number of servers to meet your request capacity;Fully Distributed, Shared Nothing Architecture	-
Statistics
Stacks 4.0K	Stacks 284
Followers 3.2K	Followers 207
Votes 195	Votes 31
Pros & Cons
Pros 62 Predictable performance and cost 56 Scalable 35 Native JSON Support 21 AWS Free Tier 7 Fast Cons 4 Only sequential access for paginate data 1 Scaling 1 Document Limit Size	Pros 14 Great abstraction, easy to use, good docs 10 Object-Oriented 7 Easy setup
Integrations
Amazon RDS for PostgreSQL PostgreSQL MySQL SQLite Azure Database for MySQL	PHP

What are some alternatives to Amazon DynamoDB, Doctrine 2?

Sequelize

Sequelize is a promise-based ORM for Node.js and io.js. It supports the dialects PostgreSQL, MySQL, MariaDB, SQLite and MSSQL and features solid transaction support, relations, read replication and more.

Azure Cosmos DB

Azure DocumentDB is a fully managed NoSQL database service built for fast and predictable performance, high availability, elastic scaling, global distribution, and ease of development.

Cloud Firestore

Cloud Firestore is a NoSQL document database that lets you easily store, sync, and query data for your mobile and web apps - at global scale.

Prisma

Prisma is an open-source database toolkit. It replaces traditional ORMs and makes database access easy with an auto-generated query builder for TypeScript & Node.js.

Hibernate

Hibernate is a suite of open source projects around domain models. The flagship project is Hibernate ORM, the Object Relational Mapper.

Cloudant

Cloudant’s distributed database as a service (DBaaS) allows developers of fast-growing web and mobile apps to focus on building and improving their products, instead of worrying about scaling and managing databases on their own.

Google Cloud Bigtable

Google Cloud Bigtable offers you a fast, fully managed, massively scalable NoSQL database service that's ideal for web, mobile, and Internet of Things applications requiring terabytes to petabytes of data. Unlike comparable market offerings, Cloud Bigtable doesn't require you to sacrifice speed, scale, or cost efficiency when your applications grow. Cloud Bigtable has been battle-tested at Google for more than 10 years—it's the database driving major applications such as Google Analytics and Gmail.

MikroORM

TypeScript ORM for Node.js based on Data Mapper, Unit of Work and Identity Map patterns. Supports MongoDB, MySQL, MariaDB, PostgreSQL and SQLite databases.

Entity Framework

It is an object-relational mapper that enables .NET developers to work with relational data using domain-specific objects. It eliminates the need for most of the data-access code that developers usually need to write.

peewee

A small, expressive orm, written in python (2.6+, 3.2+), with built-in support for sqlite, mysql and postgresql and special extensions like hstore.

Related Comparisons

Amazon DynamoDB vs Doctrine 2: What are the differences?

# Introduction:
This comparison outlines key differences between Amazon DynamoDB and Doctrine 2 for website development purposes.

1. **Data Model**: Amazon DynamoDB is a NoSQL database that uses key-value pairs for data representation, while Doctrine 2 is an Object-Relational Mapping (ORM) that maps objects to relational database tables.
2. **Scalability**: DynamoDB offers seamless scalability with automatic partitioning and replication of data across multiple servers, providing high throughput and storage capabilities. In contrast, Doctrine 2's scalability relies on the underlying relational database management system and its configuration settings.
3. **Performance**: DynamoDB provides predictable and low-latency performance for read and write operations due to its distributed nature and optimized storage engine. On the other hand, Doctrine 2's performance can vary depending on the complexity of the queries and the efficiency of the underlying database design.
4. **Schema Design**: DynamoDB requires upfront schema design and optimization to leverage its full potential, including defining primary keys and secondary indexes. In contrast, Doctrine 2 abstracts the database schema through entity mapping and annotations, allowing for more flexibility in object-oriented design.
5. **Cost Structure**: DynamoDB charges based on provisioned throughput capacity, data storage, and additional features, making it suitable for applications with varying workloads. Doctrine 2 has no direct cost associated with its usage, as it is a library that integrates with existing relational databases, thereby inheriting their cost structures.
6. **Consistency Model**: DynamoDB offers users the choice between strong and eventual consistency for read operations, providing flexibility based on application requirements. Doctrine 2 follows the consistency model of the underlying relational database system, which may vary but typically provides strong consistency for transactions.

In Summary, the key differences between Amazon DynamoDB and Doctrine 2 lie in their data models, scalability, performance, schema design, cost structure, and consistency models.

Amazon DynamoDB vs Doctrine 2

Overview