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  5. Android Room vs SQLite

Android Room vs SQLite

OverviewDecisionsComparisonAlternatives

Overview

SQLite
SQLite
Stacks19.9K
Followers15.2K
Votes535
Android Room
Android Room
Stacks214
Followers268
Votes3

Android Room vs SQLite: What are the differences?

Introduction

Here, we will discuss the key differences between Android Room and SQLite.

  1. Performance: Android Room uses compile-time query verification, which helps in catching syntax errors early, ensuring improved runtime execution. On the other hand, SQLite lacks this feature, and errors are caught only at runtime, potentially leading to performance issues.

  2. Object Relational Mapping (ORM): Android Room provides built-in support for ORM, allowing developers to map SQLite database objects to Java or Kotlin objects easily. This simplifies the coding and reduces boilerplate code. SQLite, on the other hand, does not offer direct support for ORM, requiring developers to write additional code for object mapping.

  3. Type Safety: Android Room uses entities and DAO (Data Access Object) to define database tables and access operations, respectively. It ensures type safety at compile-time, reducing the chances of runtime errors. SQLite, being a raw SQL database engine, lacks this type safety, making it more prone to runtime errors.

  4. LiveData and RxJava integration: Android Room integrates well with LiveData and RxJava, providing built-in support for reactive programming. This allows developers to observe database changes easily and perform related actions. Unlike Android Room, SQLite does not offer built-in support for reactive programming libraries, requiring developers to handle data observation manually.

  5. Database Migrations: Android Room simplifies the process of database migration with its migration support. It offers a Migration class that allows developers to define database schema changes and handle version management seamlessly. SQLite, being a raw SQL database engine, requires manual handling of database migrations, which can be complex and error-prone.

  6. Query Complexity: Android Room provides simplified query building capabilities with its query annotations, allowing developers to write complex queries in a more readable and maintainable way. On the other hand, SQLite requires developers to write raw SQL queries, making them more verbose and harder to manage.

In summary, Android Room offers performance improvements, built-in ORM support, type safety, integration with LiveData and RxJava, simplified database migration, and enhanced query building capabilities compared to SQLite.

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Advice on SQLite, Android Room

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
Android Room
Android Room

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.

It provides an abstraction layer over SQLite to allow fluent database access while harnessing the full power of SQLite. Apps that handle non-trivial amounts of structured data can benefit greatly from persisting that data locally. The most common use case is to cache relevant pieces of data.

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Provides an abstraction layer over SQLite ;Allows fluent database access while harnessing the full power of SQLite; Cache relevant pieces of data
Statistics
Stacks
19.9K
Stacks
214
Followers
15.2K
Followers
268
Votes
535
Votes
3
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
  • 1
    Extensive documentation
  • 1
    Easy to understand the transaction of data
  • 1
    Pushing bulk data to server easily
Integrations
No integrations available
Java
Java
Android OS
Android OS
Kotlin
Kotlin

What are some alternatives to SQLite, Android Room?

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.

dbForge Studio for MySQL

dbForge Studio for MySQL

It is the universal MySQL and MariaDB client for database management, administration and development. With the help of this intelligent MySQL client the work with data and code has become easier and more convenient. This tool provides utilities to compare, synchronize, and backup MySQL databases with scheduling, and gives possibility to analyze and report MySQL tables data.

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.

dbForge Studio for Oracle

dbForge Studio for Oracle

It is a powerful integrated development environment (IDE) which helps Oracle SQL developers to increase PL/SQL coding speed, provides versatile data editing tools for managing in-database and external data.

dbForge Studio for PostgreSQL

dbForge Studio for PostgreSQL

It is a GUI tool for database development and management. The IDE for PostgreSQL allows users to create, develop, and execute queries, edit and adjust the code to their requirements in a convenient and user-friendly interface.

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