Amazon DynamoDB vs CouchDB

Need advice about which tool to choose?Ask the StackShare community!

Amazon DynamoDB

3.7K
3.2K
+ 1
195
CouchDB

501
577
+ 1
139
Add tool

Amazon DynamoDB vs CouchDB: What are the differences?

Introduction

Amazon DynamoDB and CouchDB are both NoSQL databases that offer different features and capabilities. Understanding the key differences between these two databases can help you make an informed decision when choosing the right database for your needs.

  1. Data Model:

    • DynamoDB is a key-value store that organizes data in tables with a primary key. It allows for flexible schemas with each item having a unique identifier and various attributes.
    • CouchDB, on the other hand, is a document-based database that stores data in JSON-like documents. It uses a schema-less approach, allowing for more flexible and dynamic data structures.
  2. Ease of Scalability:

    • DynamoDB offers automatic scaling by default, allowing you to increase or decrease the capacity of your table based on demand. It provides horizontal scaling and can handle millions of requests per second.
    • CouchDB also supports scaling, but it requires manual setup and configuration. It follows a distributed architecture, where multiple instances of CouchDB can be set up and synced. However, scaling can be more complex in comparison to DynamoDB.
  3. ACID Compliance:

    • DynamoDB guarantees consistency, durability, and isolation in terms of ACID (Atomicity, Consistency, Isolation, Durability) properties for individual items or transactions.
    • CouchDB follows a more relaxed approach called eventual consistency. It allows for faster read and write operations but may result in data inconsistencies in certain scenarios.
  4. Querying and Indexing:

    • DynamoDB offers a simple key-value access pattern and allows querying based on the primary key or secondary indexes. It also provides a rich set of querying capabilities with features like global and local secondary indexes, sort keys, filtering, and conditional expressions.
    • CouchDB provides a powerful query mechanism called MapReduce. It allows complex queries using JavaScript functions, which can retrieve, filter, and transform documents based on specified criteria.
  5. Conflict Resolution:

    • DynamoDB doesn't handle conflicts implicitly and relies on the application's logic to resolve conflicts that may arise during concurrent updates to the same item.
    • CouchDB has built-in conflict resolution mechanisms and handles conflicts automatically. It uses a revision-based approach, where conflicts are tracked and can be resolved based on conflict resolution algorithms.
  6. Replication:

    • DynamoDB offers automatic data replication across multiple Availability Zones within a region to provide high availability and fault tolerance. It also supports global tables for cross-region replication and data locality.
    • CouchDB is designed to support offline replication and peer-to-peer synchronization. It allows for bidirectional replication between CouchDB instances, enabling data synchronization across multiple devices or sites.

In summary, the key differences between Amazon DynamoDB and CouchDB lie in their data models, scalability approaches, ACID compliance, querying capabilities, conflict resolution mechanisms, and replication features. These differences should be carefully considered when choosing the appropriate database for your specific requirements.

Advice on Amazon DynamoDB and CouchDB

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?

See more
Replies (1)
William Frank
Data Science and Engineering at GeistM · | 2 upvotes · 111.2K views
Recommends

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.

See more
Decisions about Amazon DynamoDB and CouchDB
Gabriel Pa

We implemented our first large scale EPR application from naologic.com using CouchDB .

Very fast, replication works great, doesn't consume much RAM, queries are blazing fast but we found a problem: the queries were very hard to write, it took a long time to figure out the API, we had to go and write our own @nodejs library to make it work properly.

It lost most of its support. Since then, we migrated to Couchbase and the learning curve was steep but all worth it. Memcached indexing out of the box, full text search works great.

See more
Manage your open source components, licenses, and vulnerabilities
Learn More
Pros of Amazon DynamoDB
Pros of CouchDB
  • 62
    Predictable performance and cost
  • 56
    Scalable
  • 35
    Native JSON Support
  • 21
    AWS Free Tier
  • 7
    Fast
  • 3
    No sql
  • 3
    To store data
  • 2
    Serverless
  • 2
    No Stored procedures is GOOD
  • 1
    ORM with DynamoDBMapper
  • 1
    Elastic Scalability using on-demand mode
  • 1
    Elastic Scalability using autoscaling
  • 1
    DynamoDB Stream
  • 43
    JSON
  • 30
    Open source
  • 18
    Highly available
  • 12
    Partition tolerant
  • 11
    Eventual consistency
  • 7
    Sync
  • 5
    REST API
  • 4
    Attachments mechanism to docs
  • 4
    Multi master replication
  • 3
    Changes feed
  • 1
    REST interface
  • 1
    js- and erlang-views

Sign up to add or upvote prosMake informed product decisions

Cons of Amazon DynamoDB
Cons of CouchDB
  • 4
    Only sequential access for paginate data
  • 1
    Scaling
  • 1
    Document Limit Size
    Be the first to leave a con

    Sign up to add or upvote consMake informed product decisions

    - No public GitHub repository available -

    What is Amazon DynamoDB?

    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.

    What is CouchDB?

    Apache CouchDB is a database that uses JSON for documents, JavaScript for MapReduce indexes, and regular HTTP for its API. CouchDB is a database that completely embraces the web. Store your data with JSON documents. Access your documents and query your indexes with your web browser, via HTTP. Index, combine, and transform your documents with JavaScript.

    Need advice about which tool to choose?Ask the StackShare community!

    What companies use Amazon DynamoDB?
    What companies use CouchDB?
    Manage your open source components, licenses, and vulnerabilities
    Learn More

    Sign up to get full access to all the companiesMake informed product decisions

    What tools integrate with Amazon DynamoDB?
    What tools integrate with CouchDB?

    Sign up to get full access to all the tool integrationsMake informed product decisions

    Blog Posts

    GitHubPythonNode.js+47
    55
    72612
    GitGitHubSlack+30
    27
    18559
    GitHubDockerAmazon EC2+23
    12
    6592
    GitHubPythonSlack+25
    7
    3198
    DockerSlackAmazon EC2+17
    18
    6006
    What are some alternatives to Amazon DynamoDB and CouchDB?
    Google Cloud Datastore
    Use a managed, NoSQL, schemaless database for storing non-relational data. Cloud Datastore automatically scales as you need it and supports transactions as well as robust, SQL-like queries.
    MongoDB
    MongoDB stores data in JSON-like documents that can vary in structure, offering a dynamic, flexible schema. MongoDB was also designed for high availability and scalability, with built-in replication and auto-sharding.
    Amazon SimpleDB
    Developers simply store and query data items via web services requests and Amazon SimpleDB does the rest. Behind the scenes, Amazon SimpleDB creates and manages multiple geographically distributed replicas of your data automatically to enable high availability and data durability. Amazon SimpleDB provides a simple web services interface to create and store multiple data sets, query your data easily, and return the results. Your data is automatically indexed, making it easy to quickly find the information that you need. There is no need to pre-define a schema or change a schema if new data is added later. And scale-out is as simple as creating new domains, rather than building out new servers.
    MySQL
    The MySQL software delivers a very fast, multi-threaded, multi-user, and robust SQL (Structured Query Language) database server. MySQL Server is intended for mission-critical, heavy-load production systems as well as for embedding into mass-deployed software.
    Amazon S3
    Amazon Simple Storage Service provides a fully redundant data storage infrastructure for storing and retrieving any amount of data, at any time, from anywhere on the web
    See all alternatives