Amazon DynamoDBย vsย Sequelize

Amazon DynamoDB

2.6K
2.1K
+ 1
178
Sequelize

433
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+ 1
66
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Amazon DynamoDB vs Sequelize: What are the differences?

Developers describe Amazon DynamoDB as "Fully managed NoSQL database service". All data items are stored on Solid State Drives (SSDs), and are replicated across 3 Availability Zones for high availability and durability. With DynamoDB, 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. On the other hand, Sequelize is detailed as "Easy-to-use multi sql dialect ORM for Node.js & io.js". 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.

Amazon DynamoDB belongs to "NoSQL Database as a Service" category of the tech stack, while Sequelize can be primarily classified under "Object Relational Mapper (ORM)".

"Predictable performance and cost" is the primary reason why developers consider Amazon DynamoDB over the competitors, whereas "Good ORM for node.js" was stated as the key factor in picking Sequelize.

Sequelize is an open source tool with 18.9K GitHub stars and 2.99K GitHub forks. Here's a link to Sequelize's open source repository on GitHub.

Lyft, New Relic, and Sellsuki are some of the popular companies that use Amazon DynamoDB, whereas Sequelize is used by WebbyLab, Hostr, and Decision6. Amazon DynamoDB has a broader approval, being mentioned in 430 company stacks & 173 developers stacks; compared to Sequelize, which is listed in 38 company stacks and 33 developer stacks.

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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 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.
What companies use Amazon DynamoDB?
What companies use Sequelize?

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What tools integrate with Amazon DynamoDB?
What tools integrate with Sequelize?

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What are some alternatives to Amazon DynamoDB and Sequelize?
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
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