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  1. Stackups
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  5. SQLite vs UnQLite

SQLite vs UnQLite

OverviewDecisionsComparisonAlternatives

Overview

SQLite
SQLite
Stacks19.9K
Followers15.2K
Votes535
UnQLite
UnQLite
Stacks6
Followers51
Votes0
GitHub Stars2.3K
Forks174

SQLite vs UnQLite: What are the differences?

Key Differences between SQLite and UnQLite

SQLite and UnQLite are both popular database management systems, but they have some key differences.

  1. Storage Mechanism: SQLite uses a disk-based storage mechanism, which means that the entire database is stored on disk as a single file. On the other hand, UnQLite uses an in-memory storage mechanism, where the database is stored entirely in memory and is not persisted to disk unless explicitly specified.

  2. Query Language: SQLite uses Structured Query Language (SQL) as its query language, allowing users to perform complex queries and manipulate data using SQL statements. UnQLite, on the other hand, uses a NoSQL-like query language called Jx9, which is a lightweight scripting language that allows more flexibility in querying data.

  3. Data Model: SQLite employs a relational data model, where data is organized into tables with predefined schemas and relationships between tables. UnQLite, on the other hand, uses a document data model, where data is stored in flexible, self-descriptive JSON-like documents without predefined schemas or relationships.

  4. Indexing Support: SQLite supports indexing to improve query performance by creating data structures that allow for faster data retrieval. UnQLite, on the other hand, does not have built-in support for indexes, which can result in slower queries for large datasets.

  5. Concurrency Control: SQLite uses file-level locking to ensure concurrency control, which means that only one process can write to the database at a time, preventing concurrent modifications. UnQLite, on the other hand, does not support concurrent write accesses and relies on the user to implement their own concurrency control mechanisms.

  6. Extent of Features: SQLite provides a rich set of features including support for transactions, triggers, views, and more. UnQLite, while lightweight, lacks some advanced features such as support for transactions and triggers, making it less suitable for complex database applications.

In summary, SQLite and UnQLite differ in terms of their storage mechanism, query language, data model, indexing support, concurrency control, and extent of features. Choosing between the two depends on specific application requirements and use cases.

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Advice on SQLite, UnQLite

Anonymous
Anonymous

Oct 29, 2019

Needs advice

Hi everyone! I am a high school student, starting a massive project. I'm building a system for a boarding school to be better connected to their students and be more efficient with information. In the meantime, I am developing a website and an android app. What's the best datastore I can use? I need to be able to access student data on the app from the main database and send push notifications. Also feed updates. What's the best approach? What's the best tool I can use to deploy the website and the database? One for testing and prototyping, and an official one... Thanks in advance!!!!

366k views366k
Comments

Detailed Comparison

SQLite
SQLite
UnQLite
UnQLite

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.

UnQLite is a in-process software library which implements a self-contained, serverless, zero-configuration, transactional NoSQL database engine. UnQLite is a document store database similar to MongoDB, Redis, CouchDB etc. as well a standard Key/Value store similar to BerkeleyDB, LevelDB, etc.

Statistics
GitHub Stars
-
GitHub Stars
2.3K
GitHub Forks
-
GitHub Forks
174
Stacks
19.9K
Stacks
6
Followers
15.2K
Followers
51
Votes
535
Votes
0
Pros & Cons
Pros
  • 163
    Lightweight
  • 135
    Portable
  • 122
    Simple
  • 81
    Sql
  • 29
    Preinstalled on iOS and Android
Cons
  • 2
    Not for multi-process of multithreaded apps
  • 1
    Needs different binaries for each platform
Cons
  • 1
    Different compilation for each platform

What are some alternatives to SQLite, UnQLite?

MongoDB

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.

MySQL

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.

PostgreSQL

PostgreSQL

PostgreSQL is an advanced object-relational database management system that supports an extended subset of the SQL standard, including transactions, foreign keys, subqueries, triggers, user-defined types and functions.

Microsoft SQL Server

Microsoft SQL Server

Microsoft® SQL Server is a database management and analysis system for e-commerce, line-of-business, and data warehousing solutions.

Cassandra

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.

Memcached

Memcached

Memcached is an in-memory key-value store for small chunks of arbitrary data (strings, objects) from results of database calls, API calls, or page rendering.

MariaDB

MariaDB

Started by core members of the original MySQL team, MariaDB actively works with outside developers to deliver the most featureful, stable, and sanely licensed open SQL server in the industry. MariaDB is designed as a drop-in replacement of MySQL(R) with more features, new storage engines, fewer bugs, and better performance.

RethinkDB

RethinkDB

RethinkDB is built to store JSON documents, and scale to multiple machines with very little effort. It has a pleasant query language that supports really useful queries like table joins and group by, and is easy to setup and learn.

ArangoDB

ArangoDB

A distributed free and open-source database with a flexible data model for documents, graphs, and key-values. Build high performance applications using a convenient SQL-like query language or JavaScript extensions.

InfluxDB

InfluxDB

InfluxDB is a scalable datastore for metrics, events, and real-time analytics. It has a built-in HTTP API so you don't have to write any server side code to get up and running. InfluxDB is designed to be scalable, simple to install and manage, and fast to get data in and out.

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