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  1. Stackups
  2. Application & Data
  3. NoSQL Databases
  4. NOSQL Database As A Service
  5. Google Cloud Datastore vs Sequelize

Google Cloud Datastore vs Sequelize

OverviewComparisonAlternatives

Overview

Google Cloud Datastore
Google Cloud Datastore
Stacks290
Followers357
Votes12
Sequelize
Sequelize
Stacks1.0K
Followers1.4K
Votes143
GitHub Stars30.2K
Forks4.3K

Google Cloud Datastore vs Sequelize: What are the differences?

Google Cloud Datastore: A Fully Managed NoSQL Data Storage Service. 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; Sequelize: 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.

Google Cloud Datastore and Sequelize are primarily classified as "NoSQL Database as a Service" and "Object Relational Mapper (ORM)" tools respectively.

"High scalability" is the primary reason why developers consider Google Cloud Datastore 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.

WebbyLab, Hostr, and Decision6 are some of the popular companies that use Sequelize, whereas Google Cloud Datastore is used by Policygenius, Teleport, and Como. Sequelize has a broader approval, being mentioned in 38 company stacks & 33 developers stacks; compared to Google Cloud Datastore, which is listed in 45 company stacks and 16 developer stacks.

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Detailed Comparison

Google Cloud Datastore
Google Cloud Datastore
Sequelize
Sequelize

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.

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.

Schemaless access, with SQL-like querying;Managed database;Autoscale with your users;ACID transactions;Built-in redundancy;Local development tools
-
Statistics
GitHub Stars
-
GitHub Stars
30.2K
GitHub Forks
-
GitHub Forks
4.3K
Stacks
290
Stacks
1.0K
Followers
357
Followers
1.4K
Votes
12
Votes
143
Pros & Cons
Pros
  • 7
    High scalability
  • 2
    Ability to query any property
  • 2
    Serverless
  • 1
    Pay for what you use
Pros
  • 42
    Good ORM for node.js
  • 31
    Easy setup
  • 21
    Support MySQL & MariaDB, PostgreSQL, MSSQL, Sqlite
  • 14
    Open source
  • 13
    Free
Cons
  • 30
    Docs are awful
  • 10
    Relations can be confusing
Integrations
No integrations available
SQLite
SQLite
Microsoft SQL Server
Microsoft SQL Server
Node.js
Node.js
PostgreSQL
PostgreSQL
MySQL
MySQL
MariaDB
MariaDB
io.js
io.js

What are some alternatives to Google Cloud Datastore, Sequelize?

Amazon DynamoDB

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.

Azure Cosmos DB

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

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

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

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

Doctrine 2

Doctrine 2

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.

Cloudant

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

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

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

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.

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