Data-driven mobile applications are a growing demand in the mobile application space. More and more of these applications require blazing fast speed with reliable reactive data stores as well as offline-first sync capabilities.
SQLite was initially developed to solve a local access SQL solution with minimal configuration and relational data concepts. In this article, we will show how MongoDB database compares to SQLite and discuss the use cases it comes to solve.
SQLite is a C-based library that allows applications to store and retrieve data from local files on devices via a SQL interface. SQLite was started as an open-source project in Sep 2000 and is supported on a few platforms, mostly mobile devices and mobile operating systems.
MongoDB Server is a general-purpose document database which supports different platforms. MongoDB’s core concept is a NoSQL flexible schema that stores data in BSON (Binary JSON-like) documents grouped in “collections” and “databases.” MongoDB can potentially run on small devices but its main power is being a backend database for your applications. The best and most convenient way to run a MongoDB Server is with MongoDB Atlas, our Database-as-a-Service platform.
MongoDB Atlas is scalable and highly available by design cloud platform, allowing multiple clients and languages to connect and power different applications. If your frameworks of choice are C#, Java (Android), iOS, Node.js, or Python, all (and more) are supported via a native Driver.
SQLite is a veteran in the mobile self-contained database world and therefore, developers with preference to SQL syntax with static schemas might prefer SQLite. It lives only on the device and does not have any external backup or scaleout solutions.
If you do not require a scalable and highly concurrent solution with offline synchronization of devices, you might go for SQLite.
Having said that, frequent schema changes and agility requirements have become a wide challenge for lots of mobile applications and websites. Therefore, a majority of customers should consider the benefits of MongoDB’s modern solutions over the legacy SQLite.
The real question should be why not use MongoDB’s solutions for developing local or/and offline sync databases?
MongoDB database has a flexible schema at heart, where the documents map nicely and naturally to mobile development classes. Additionally, MongoDB Atlas supports secure connections from most modern mobile development programming languages. Those together with Atlas’ scalable platform and its flexible billing models (including serverless clusters) are compelling for applications these days (start small and grow fast).
As mobile developers, you learn that application requirements might evolve quickly and so does the scale. Having Realm, a local object store with built-in edge-to-cloud sync, backed up by MongoDB Atlas, allows developer productivity to skyrocket while staying reliable and agile.
Once the data is in MongoDB Atlas, you can use the power of integrations like Charts or Data Lake to enhance your application stack.
The table below outlines how MongoDB compares with SQLite in key areas pertaining to mobile application development.
Collections of JSON documents derived from MongoDB BSON Documents with full object and array support.
Objects mapped seamlessly between DB and code.
Based on RDBMS columns and rows.
SQLite stores the entire database in a file on disk. This includes all tables, indexes, triggers, and views.
Limited schema changes permitted against an existing table.
MongoDB provides concurrency mechanisms for multiple clients to access and manipulate data.
Auto-scaling and sharding capabilities via Atlas.
‘Single user’ architecture—each database file is only meant to serve one client. Multiple users can access a single file, but doing so would incur performance costs as transaction locks will occur.
|Transactions||MongoDB is fully ACID-compliant.||SQLite transactions are fully ACID-compliant.|
MongoDB Query language is rich and powerful.
MongoDB Aggregation is a powerful framework allowing users to analyze, transform, and redesign their data.
|SQLite supports most of the SQL standard, but does omit some powerful features such as those related to ALTER TABLE and certain JOINs.|
|Concurrency||MongoDB supports thousands of concurrent users.||SQLite offers support for concurrent writes but requires significant developer interaction to leverage effectively.|
Defining user-level permissions and authentication is a basic MongoDB security feature.
Additionally, advanced authentication, TLS, and access listing is built-in and available in MongoDB Atlas and MongoDB Server.
MongoDB provides native encryption solutions.
All data access control must be handled at the OS level through file system permissions.
No support for user-level access control.
Vulnerable to SQL-injection style attacks.
SQLite relies on third-party libraries for encryption.
Atlas (free tier and up).
Self-hosted via MongoDB Servers deployment.
|SQLite must be deployed manually or in conjunction with a third-party service.|
|Platform and Driver Support|
Native Drivers for most common platforms and programming languages, with equally descriptive documentation and code examples for each.
Dedicated team of documentation engineers to continuously improve and enrich documentation and examples.
|SQLite offers limited “official” pre-compiled binaries and SDKs. Most common environments are covered, but developers interested in using other common language SDKs will need to rely on a third-party.|
MongoDB is a modern and robust database supporting a much larger use case variety, which is superior to SQLite in many areas. For mobile applications, MongoDB developers can leverage Realm and Atlas App Services, including Atlas Device Sync, to build cross platform, offline-first applications that are backed by the MongoDB Atlas cloud platform.
See the following tutorials and links for more information: