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  1. Stackups
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  3. Databases
  4. Databases
  5. RavenDB vs SQLite

RavenDB vs SQLite

OverviewDecisionsComparisonAlternatives

Overview

SQLite
SQLite
Stacks19.9K
Followers15.2K
Votes535
RavenDB
RavenDB
Stacks79
Followers82
Votes9
GitHub Stars3.9K
Forks850

RavenDB vs SQLite: What are the differences?

# Introduction

1. **Storage Mechanism**: RavenDB is a document database that stores data in JSON format, making it suitable for handling complex data structures, while SQLite is a lightweight, serverless, and self-contained database engine that stores data in a single disk file.
2. **ACID Compliance**: RavenDB fully supports ACID (Atomicity, Consistency, Isolation, Durability) properties ensuring data integrity, while SQLite also supports ACID properties but requires manual implementation for transactions and other features to achieve full compliance.
3. **Scalability**: RavenDB is designed for distributed environments, providing built-in partitioning and replication capabilities for horizontal scalability, whereas SQLite is suitable for small to medium-scale applications due to its single-file nature, limiting its scalability options.
4. **Query Language**: RavenDB uses LINQ (Language Integrated Query) for querying databases, allowing developers to work with data using familiar C# syntax, whereas SQLite uses SQL (Structured Query Language) for database operations, providing powerful querying capabilities but may require a learning curve for developers not familiar with SQL syntax.
5. **Concurrency Control**: In RavenDB, optimistic concurrency control is used by default, allowing multiple users to read and write data simultaneously without locking entire documents, while SQLite uses pessimistic concurrency control, where write operations lock the database, potentially leading to performance issues in high-concurrency scenarios.
6. **Platform Support**: RavenDB is primarily designed for .NET platforms and provides extensive support for various .NET technologies, while SQLite is a cross-platform database that can be used in a wide range of programming languages and platforms beyond just .NET.

In Summary, RavenDB and SQLite differ in their storage mechanism, ACID compliance, scalability, query language, concurrency control, and platform support. Each database has its strengths and weaknesses, making them suitable for different types of applications and environments.

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Advice on SQLite, RavenDB

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
RavenDB
RavenDB

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.

As a document database it remains true to the core principles of these type of storage mechanisms. Somehow it managed to combine the best of relational databases with that of document databases.

-
Multi-Platform; ACID Transactions
Statistics
GitHub Stars
-
GitHub Stars
3.9K
GitHub Forks
-
GitHub Forks
850
Stacks
19.9K
Stacks
79
Followers
15.2K
Followers
82
Votes
535
Votes
9
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
Pros
  • 4
    Embedded Library
  • 3
    Easy of use
  • 2
    NoSql
Integrations
No integrations available
Python
Python
Windows
Windows
Java
Java
Ruby
Ruby
Linux
Linux

What are some alternatives to SQLite, RavenDB?

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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