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  1. Stackups
  2. Application & Data
  3. Databases
  4. Orm
  5. LokiJS vs Sequelize

LokiJS vs Sequelize

OverviewComparisonAlternatives

Overview

Sequelize
Sequelize
Stacks1.0K
Followers1.4K
Votes143
GitHub Stars30.2K
Forks4.3K
LokiJS
LokiJS
Stacks43
Followers57
Votes3
GitHub Stars6.8K
Forks483

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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Detailed Comparison

Sequelize
Sequelize
LokiJS
LokiJS

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.

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.

Statistics
GitHub Stars
30.2K
GitHub Stars
6.8K
GitHub Forks
4.3K
GitHub Forks
483
Stacks
1.0K
Stacks
43
Followers
1.4K
Followers
57
Votes
143
Votes
3
Pros & Cons
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
Pros
  • 3
    Can query the objects directly
Integrations
SQLite
SQLite
Microsoft SQL Server
Microsoft SQL Server
Node.js
Node.js
PostgreSQL
PostgreSQL
MySQL
MySQL
MariaDB
MariaDB
io.js
io.js
Node.js
Node.js
NativeScript
NativeScript
Apache Cordova
Apache Cordova
PhoneGap
PhoneGap

What are some alternatives to Sequelize, LokiJS?

Redis

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.

Hazelcast

Hazelcast

With its various distributed data structures, distributed caching capabilities, elastic nature, memcache support, integration with Spring and Hibernate and more importantly with so many happy users, Hazelcast is feature-rich, enterprise-ready and developer-friendly in-memory data grid solution.

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.

Aerospike

Aerospike

Aerospike is an open-source, modern database built from the ground up to push the limits of flash storage, processors and networks. It was designed to operate with predictable low latency at high throughput with uncompromising reliability – both high availability and ACID guarantees.

MemSQL

MemSQL

MemSQL converges transactions and analytics for sub-second data processing and reporting. Real-time businesses can build robust applications on a simple and scalable infrastructure that complements and extends existing data pipelines.

Apache Ignite

Apache Ignite

It is a memory-centric distributed database, caching, and processing platform for transactional, analytical, and streaming workloads delivering in-memory speeds at petabyte scale

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.

SAP HANA

SAP HANA

It is an application that uses in-memory database technology that allows the processing of massive amounts of real-time data in a short time. The in-memory computing engine allows it to process data stored in RAM as opposed to reading it from a disk.

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.

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