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  1. Stackups
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  4. Databases
  5. ObjectBox vs SQLite

ObjectBox vs SQLite

OverviewDecisionsComparisonAlternatives

Overview

SQLite
SQLite
Stacks19.9K
Followers15.2K
Votes535
ObjectBox
ObjectBox
Stacks9
Followers20
Votes0

ObjectBox vs SQLite: What are the differences?

Key Differences between ObjectBox and SQLite

ObjectBox and SQLite are both popular database solutions, but they have several key differences. These differences can greatly impact the performance and ease of use for developers. Here are six specific differences between ObjectBox and SQLite:

  1. Data Modeling: ObjectBox uses an object-oriented approach to database modeling, where data entities are represented as objects and relationships between objects are easily defined. SQLite, on the other hand, follows a table-based relational model, requiring developers to define and manage database schemas using SQL statements.

  2. Performance: ObjectBox is designed for performance and claims to be significantly faster than SQLite. It achieves this by utilizing an efficient native codebase and optimized APIs for reading and writing data. SQLite, although fast, may suffer from performance issues when complex queries or large datasets are involved.

  3. Ease of Use: ObjectBox aims to provide a simple and intuitive API for developers, requiring less boilerplate code compared to SQLite. It eliminates the need for writing SQL queries and handles object-to-database mapping automatically. SQLite, on the other hand, requires developers to write and execute SQL statements for various database operations.

  4. Concurrency: ObjectBox is designed to handle concurrent read and write operations efficiently, making it suitable for highly concurrent environments such as multi-threaded or multi-process applications. SQLite, while capable of concurrent access, may experience contention issues and requires careful handling to avoid concurrency-related bugs.

  5. Cross-platform Support: ObjectBox supports multiple platforms, including Android, iOS, Linux, macOS, and Windows, allowing developers to use the same database solution across different platforms. SQLite is also cross-platform compatible but requires additional effort to set up and manage on different operating systems.

  6. Integration with Frameworks: ObjectBox provides out-of-the-box support for popular frameworks like Android's Jetpack, making it easy to integrate with existing Android applications. SQLite, being a widely adopted database solution, has extensive support for various frameworks and programming languages, making it versatile for integration with different platforms.

In summary, ObjectBox provides a more object-oriented approach to data modeling, emphasizing performance, ease of use, concurrency handling, cross-platform support, and seamless integration with frameworks like Android's Jetpack. On the other hand, SQLite follows a traditional table-based relational model, offering flexibility, a wide range of existing integrations, and proven stability.

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Advice on SQLite, ObjectBox

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
ObjectBox
ObjectBox

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 is for developers who look for performance and ease of use. We are committed to providing you with the easiest APIs for you to keep your code short and maintainable. No SQL under the hood-Simply faster. Unlike other databases, it has been built from the ground up using key-value storage instead of column storage. The resulting performance is 10x faster than the leading alternative, we welcome you to try it yourself. It is fast regardless of the amount of data or operating system you are using.

-
10x faster than any alternative; Reduces cloud costs up to 60%; Supports Linux, Windows, Mac/iOS, Android, Raspbian, etc. Embedded or Containerized; Develop applications that work on- and offline, independently from a constant Internet connection, providing an “always-on”-feeling; Accelerate time-to-market, save development and lifecycle costs, save precious developer time for tasks that bring value
Statistics
Stacks
19.9K
Stacks
9
Followers
15.2K
Followers
20
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
No community feedback yet
Integrations
No integrations available
Linux
Linux
Android OS
Android OS
macOS
macOS
iOS
iOS
Windows
Windows
Raspbian
Raspbian

What are some alternatives to SQLite, ObjectBox?

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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