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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.
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?
Hi, Akash,
I wouldn't make this decision without lots more information. Cloud Firestore has a much richer metamodel (document-oriented) than Dynamo (key-value), and Dynamo seems to be particularly restrictive. That is why it is so fast. There are many needs in most applications to get lightning access to the members of a set, one set at a time. Dynamo DB is a great choice. But, social media applications generally need to be able to make long traverses across a graph. While you can make almost any metamodel act like another one, with your own custom layers on top of it, or just by writing a lot more code, it's a long way around to do that with simple key-value sets. It's hard enough to traverse across networks of collections in a document-oriented database. So, if you are moving, I think a graph-oriented database like Amazon Neptune, or, if you might want built-in reasoning, Allegro or Ontotext, would take the least programming, which is where the most cost and bugs can be avoided. Also, managed systems are also less costly in terms of people's time and system errors. It's easier to measure the costs of managed systems, so they are often seen as more costly.
Pros of Amazon DynamoDB
- Predictable performance and cost62
- Scalable56
- Native JSON Support35
- AWS Free Tier21
- Fast7
- No sql3
- To store data3
- Serverless2
- No Stored procedures is GOOD2
- ORM with DynamoDBMapper1
- Elastic Scalability using on-demand mode1
- Elastic Scalability using autoscaling1
- DynamoDB Stream1
Pros of Doctrine 2
- Great abstraction, easy to use, good docs14
- Object-Oriented10
- Easy setup7
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Cons of Amazon DynamoDB
- Only sequential access for paginate data4
- Scaling1
- Document Limit Size1