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  1. Stackups
  2. Application & Data
  3. Databases
  4. Databases
  5. LiteDB vs MariaDB

LiteDB vs MariaDB

OverviewDecisionsComparisonAlternatives

Overview

MariaDB
MariaDB
Stacks16.5K
Followers12.8K
Votes468
GitHub Stars6.6K
Forks1.9K
LiteDB
LiteDB
Stacks48
Followers187
Votes24

LiteDB vs MariaDB: What are the differences?

  1. Storage Structure: The key difference between LiteDB and MariaDB lies in their storage structure. LiteDB is a NoSQL embedded database that stores data in a single data file, making it easy to distribute and deploy as a single file without any external dependencies. On the other hand, MariaDB is a relational database management system that uses traditional SQL tables and file structure for storing data.

  2. Data Modeling: LiteDB supports a schema-less data model where you can store heterogeneous data in a single collection with variable document structure, similar to document-oriented databases. Unlike LiteDB, MariaDB follows a strict schema-based data model with predefined tables and relationships between them, allowing for strict data validation and standardized modeling.

  3. Scalability: In terms of scalability, LiteDB is more suitable for small to medium-sized applications with low to moderate data volume. It lacks built-in support for distributed databases or sharding, limiting its ability to handle large-scale data processing and high traffic workloads. Conversely, MariaDB is designed to support enterprise-grade applications with a high level of scalability, offering built-in features like clustering, replication, and partitioning for efficient distribution and management of data across multiple nodes.

  4. Query Language: LiteDB uses a simple and lightweight query language similar to JavaScript's LINQ syntax. It supports basic querying and filtering operations, but lacks some advanced features like JOIN operations and complex aggregations. On the other hand, MariaDB utilizes the standard SQL query language, providing a rich set of features including JOINs, subqueries, stored procedures, and triggers, making it more suitable for complex data manipulation and analysis.

  5. Transaction Support: LiteDB supports simple transactional operations like document-level atomicity and ACID properties within a single collection. However, it does not support transactions across multiple collections or provide isolation levels. In contrast, MariaDB offers full transactional support with multi-statement transactions, allowing for atomicity, consistency, isolation, and durability across multiple tables and complex operations.

  6. Compatibility and Ecosystem: LiteDB is a .NET-based database, primarily targeting applications developed on the .NET platform. It has limited support for other programming languages and lacks a vast ecosystem compared to MariaDB. MariaDB, on the other hand, is a widely-used and highly popular open-source database that is compatible with various programming languages and has a large community support, extensive documentation, and integration with numerous third-party tools and frameworks.

In Summary, LiteDB is a lightweight, embedded NoSQL database with a simple storage structure and flexible data modeling capabilities, suitable for small to medium-scale applications. On the other hand, MariaDB is a scalable, feature-rich relational database management system with a strict schema-based model, advanced query language, transactional support, and a wide ecosystem, making it ideal for large-scale enterprise applications.

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Advice on MariaDB, LiteDB

Maxim
Maxim

student at USI

Aug 25, 2020

Needs adviceonNode.jsNode.jsMongooseMongoosePostgreSQLPostgreSQL

Hi all. I am an informatics student, and I need to realise a simple website for my friend. I am planning to realise the website using Node.js and Mongoose, since I have already done a project using these technologies. I also know SQL, and I have used PostgreSQL and MySQL previously.

The website will show a possible travel destination and local transportation. The database is used to store information about traveling, so only admin will manage the content (especially photos). While clients will see the content uploaded by the admin. I am planning to use Mongoose because it is very simple and efficient for this project. Please give me your opinion about this choice.

321k views321k
Comments
Omran
Omran

CTO & Co-founder at Bonton Connect

Jun 19, 2020

Needs advice

We actually use both Mongo and SQL databases in production. Mongo excels in both speed and developer friendliness when it comes to geospatial data and queries on the geospatial data, but we also like ACID compliance hence most of our other data (except on-site logs) are stored in a SQL Database (MariaDB for now)

582k views582k
Comments

Detailed Comparison

MariaDB
MariaDB
LiteDB
LiteDB

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.

Embedded NoSQL database for .NET. An open source MongoDB-like database with zero configuration - mobile ready

Replication;Insert Delayed;Events;Dynamic;Columns;Full-text;Search;GIS;Locale;Settings;subqueries;Timezones;Triggers;XML;Functions;Views;SSL;Show Profile
Standalone database; Fast and lightweight; Free for everyone, including commercial use
Statistics
GitHub Stars
6.6K
GitHub Stars
-
GitHub Forks
1.9K
GitHub Forks
-
Stacks
16.5K
Stacks
48
Followers
12.8K
Followers
187
Votes
468
Votes
24
Pros & Cons
Pros
  • 149
    Drop-in mysql replacement
  • 100
    Great performance
  • 74
    Open source
  • 55
    Free
  • 44
    Easy setup
Pros
  • 6
    No Sql
  • 5
    Portable
  • 4
    Easy to use
  • 3
    Document oriented storage
  • 2
    Open Source
Cons
  • 2
    Online documentation needs improvement
  • 2
    Needs more real world examples
Integrations
No integrations available
.NET
.NET

What are some alternatives to MariaDB, LiteDB?

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.

SQLite

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.

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.

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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