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Google Cloud Datastore

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Sequelize

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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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Pros of Google Cloud Datastore
Pros of Sequelize
  • 7
    High scalability
  • 2
    Serverless
  • 2
    Ability to query any property
  • 1
    Pay for what you use
  • 42
    Good ORM for node.js
  • 31
    Easy setup
  • 21
    Support MySQL & MariaDB, PostgreSQL, MSSQL, Sqlite
  • 14
    Open source
  • 13
    Free
  • 12
    Promise Based
  • 4
    Recommend for mongoose users
  • 3
    Typescript
  • 3
    Atrocious documentation, buggy, issues closed by bots

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Cons of Google Cloud Datastore
Cons of Sequelize
    Be the first to leave a con
    • 30
      Docs are awful
    • 10
      Relations can be confusing

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    - No public GitHub repository available -

    What is 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.

    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.

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

    What companies use Google Cloud Datastore?
    What companies use Sequelize?
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    What tools integrate with Google Cloud Datastore?
    What tools integrate with Sequelize?

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    What are some alternatives to Google Cloud Datastore and Sequelize?
    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.
    Redis
    Redis is an open source (BSD licensed), in-memory data structure store, used as a database, cache, and message broker. Redis provides data structures such as strings, hashes, lists, sets, sorted sets with range queries, bitmaps, hyperloglogs, geospatial indexes, and streams.
    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.
    Elasticsearch
    Elasticsearch is a distributed, RESTful search and analytics engine capable of storing data and searching it in near real time. Elasticsearch, Kibana, Beats and Logstash are the Elastic Stack (sometimes called the ELK Stack).
    Cassandra
    Partitioning means that Cassandra can distribute your data across multiple machines in an application-transparent matter. Cassandra will automatically repartition as machines are added and removed from the cluster. Row store means that like relational databases, Cassandra organizes data by rows and columns. The Cassandra Query Language (CQL) is a close relative of SQL.
    See all alternatives