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LokiJS

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143
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LokiJS vs Sequelize: What are the differences?

Introduction:
LokiJS and Sequelize are both databases commonly used in web development, but they differ in various aspects that can affect the performance and functionality of an application.

1. **Data Storage**:
LokiJS stores data in-memory by default, making it suitable for small to medium-sized datasets. In contrast, Sequelize stores data in relational databases like MySQL, PostgreSQL, and SQLite, making it more suitable for large-scale applications requiring complex data relationships.

2. **Query Language**:
LokiJS uses a document-based query language similar to MongoDB, allowing for more flexibility in querying data. On the other hand, Sequelize uses SQL queries for interacting with relational databases, which can provide more powerful querying capabilities for complex data retrieval and manipulation.

3. **Relation Mapping**:
Sequelize supports defining relationships between different tables, such as one-to-one, one-to-many, and many-to-many, providing better data organization and retrieval. LokiJS, being a document database, does not natively support relationships between collections, which can make managing interconnected data more challenging.

4. **Performance**:
Due to its in-memory nature, LokiJS can provide faster read and write operations for small datasets compared to Sequelize, which requires interaction with disk-based relational databases. However, for larger datasets or applications with complex queries, Sequelize's ability to optimize SQL queries can offer better performance in handling data-intensive tasks.

5. **Data Integrity**:
Sequelize enforces data integrity constraints at the database level, ensuring that data is consistent and follows defined rules like unique constraints and foreign key relationships. In contrast, LokiJS does not provide the same level of data integrity checks, leaving the responsibility of maintaining data consistency to the application's logic.

6. **Community Support**:
Sequelize has a larger and more active community compared to LokiJS, which means better documentation, more available plugins, and frequent updates to address issues and improve performance. This can be crucial for developers seeking reliable support and resources for their database management needs.

In Summary, LokiJS and Sequelize differ in data storage mechanisms, query languages, relationship mapping capabilities, performance optimizations, data integrity enforcement, and community support, which can impact the choice of database for specific application requirements.
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Pros of LokiJS
Pros of Sequelize
  • 3
    Can query the objects directly
  • 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 LokiJS
Cons of Sequelize
    Be the first to leave a con
    • 30
      Docs are awful
    • 10
      Relations can be confusing

    Sign up to add or upvote consMake informed product decisions

    What is LokiJS?

    LokiJS is a document oriented database written in javascript, published under MIT License. Its purpose is to store javascript objects as documents in a nosql fashion and retrieve them with a similar mechanism. Runs in node (including cordova/phonegap and node-webkit), nativescript and the browser.

    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.

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    What companies use LokiJS?
    What companies use Sequelize?
    See which teams inside your own company are using LokiJS or Sequelize.
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    What tools integrate with LokiJS?
    What tools integrate with Sequelize?

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    What are some alternatives to LokiJS and Sequelize?
    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.
    SQLite
    SQLite is an embedded SQL database engine. Unlike most other SQL databases, SQLite does not have a separate server process. SQLite reads and writes directly to ordinary disk files. A complete SQL database with multiple tables, indices, triggers, and views, is contained in a single disk file.
    Pouchdb
    PouchDB enables applications to store data locally while offline, then synchronize it with CouchDB and compatible servers when the application is back online, keeping the user's data in sync no matter where they next login.
    NeDB
    Embedded persistent or in memory database for Node.js, nw.js, Electron and browsers, 100% JavaScript, no binary dependency. API is a subset of MongoDB's and it's plenty fast.
    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.
    See all alternatives